U.S. patent application number 14/172968 was filed with the patent office on 2014-06-05 for system and methods for health monitoring of anonymous animals in livestock groups.
This patent application is currently assigned to Faunus Ltd.. The applicant listed for this patent is Faunus Ltd.. Invention is credited to Ron ELAZARI-VOLCANI.
Application Number | 20140155756 14/172968 |
Document ID | / |
Family ID | 42229279 |
Filed Date | 2014-06-05 |
United States Patent
Application |
20140155756 |
Kind Code |
A1 |
ELAZARI-VOLCANI; Ron |
June 5, 2014 |
SYSTEM AND METHODS FOR HEALTH MONITORING OF ANONYMOUS ANIMALS IN
LIVESTOCK GROUPS
Abstract
Computerized system and method for livestock groups health
monitoring comprising: a storage and computing unit storing at
least one database; a plurality of data collecting units of
different types, each type comprising at least one sensor, the data
collecting unit types selected from the group consisting of
acoustic sensors, vitality meters, ammonia sensors, visual sensors
and scent sensors; first communication means for communicating
operating commands from the storage and computing unit to each of
the data collecting units and for communicating data from the data
collecting units to the storage and computing unit ; and second
communication means for communicating between the storage and
computing unit and a user device.
Inventors: |
ELAZARI-VOLCANI; Ron;
(Moshav Ein-Sarid, IL) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Faunus Ltd. |
Tel-Aviv |
|
IL |
|
|
Assignee: |
Faunus Ltd.
Tel-Aviv
IL
|
Family ID: |
42229279 |
Appl. No.: |
14/172968 |
Filed: |
February 5, 2014 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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13613087 |
Sep 13, 2012 |
8677941 |
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14172968 |
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12320719 |
Feb 3, 2009 |
8297231 |
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13613087 |
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Current U.S.
Class: |
600/476 ;
600/300; 607/96 |
Current CPC
Class: |
A01K 29/005 20130101;
A61B 5/0077 20130101; A61B 5/7282 20130101; A61D 99/00 20130101;
G16H 50/80 20180101; G16H 40/67 20180101; G06Q 10/00 20130101; A61F
7/00 20130101; A61B 5/0013 20130101 |
Class at
Publication: |
600/476 ;
600/300; 607/96 |
International
Class: |
A01K 29/00 20060101
A01K029/00; A61D 99/00 20060101 A61D099/00; A61F 7/00 20060101
A61F007/00; A61B 5/00 20060101 A61B005/00 |
Claims
1. A method of managing a group of livestock comprising: measuring
a vitality parameter of the group of livestock; sending a result of
said measuring to a processor; detecting with said processor an
abnormal value of said vitality parameter, and activating an
operational measure in response to said detecting via a command
from said processor.
2. The method of claim 1, wherein said measuring is of a group of
sentinels, said group of sentinels comprising statistically
significant sample of the group of livestock.
3. The method of claim 1, wherein said operational measure includes
at least one of a heater and a blower.
4. A system for managing a group of livestock comprising: a sensor
measuring vitality parameter of the group of livestock; a processor
analyzing an output of said sensor to determine a corrective
measure; and an automated control system responsive to said
processor, said automated control system implementing said
corrective measure.
5. The method of claim 1, wherein said vitality parameter is of a
group of sentinels, said group of sentinels comprising
statistically significant sample of the group of livestock.
6. The method of claim 1, wherein said automated control system
includes at least one of a heater and a blower.
7. A method of early detection of a contagious condition in a
population of grazing cattle comprising: locating a visual sensor
in a gathering point of the grazing cattle; communicating data of
said visual sensor to a communication center including a long range
radio transceiver; transmitting said data by said long range radio
transceiver to a computing unit; recognizing with said computing
unit visual patterns in said data associated with the contagious
condition; and analyzing said data by said computing unit to
determine a probability of a specific condition; communicating said
probability to a user device; and displaying said probability on
said user device.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of U.S. patent
application Ser. No. 13/613,087 filed on Sep. 13, 2012, which is a
division of U.S. patent application Ser. No. 12/320,719 filed on
Feb. 3, 2009, now U.S. Pat. No. 8,297,231, the contents of all of
which are incorporated herein by reference in their entirety.
TECHNOLOGICAL FIELD
[0002] Health monitoring systems for anonymous animal in livestock
groups.
BACKGROUND
[0003] Farm livestock is exposed to disease as all living creatures
are. The economical pressure of disease in farm livestock however,
is enormously high.
[0004] Livestock diseases are usually detected (and defined) by
personal inspection by the farmer or by the veterinarian--once a
vast majority of the group is infected. A group may refer to a
poultry flock, a group of hives gathered in one location, a herd of
grazing sheep or cattle, a fishpond etc. This is the case for
livestock groups containing a large number of individuals, in which
the individual is "anonymous"--such as poultry, bees, grazing
cattle or sheep, fish and others.
[0005] Because of the anonymity of the group members, health
condition of individuals is not monitored--only that of the
group--and diseases are detected too late. To minimize risk and
losses, farmers usually rely on prophylactic treatments and massive
usage of medications. This pattern of health control results in
late detection of disease outbreak--sometimes by days or even
weeks--leading to higher morbidity and mortality rates,
consequently to higher damages and costs.
[0006] Poultry farming is industrialized in most countries. House
temperature and humidity are automatically controlled. Feeding,
watering and even vaccination and medication are delivered
automatically.
[0007] Human presence inside the chicken house is deliberately kept
at minimum and human inspection of the flock's productivity and
health are remote and scarce.
[0008] These inspections are carried out once a day or two by the
farmer or his employees and once a week or two by the veterinarian.
Inspections are visual. Due to the large number of chickens in the
flock (up to 200,000 per house of broilers), morbidity is usually
only noticed once a large portion of the flock shows significant
symptoms of a certain disease, or once mortality rate is high
enough to be noticed. By that time, up to 100% of the flock could
be infected, treatment required is massive and the economical
losses caused by reduction of production and mortality are
heavy.
[0009] As of today, this is the common and standard procedure in
the industry for health monitoring and disease outbreak detection
in commercial flocks of poultry.
[0010] In many poultry diseases, such as Coccidiosis, respiratory
diseases and others, a vast damage is inflicted on the farmer and
that damage increases daily until the disease is detected,
identified and properly treated. Late detection of the disease
might lead (in severe cases) even to a total destruction of the
entire group. The well known "Avian flue" (or bird's flu) is a good
example of the vast damage inflicted on farmers once the disease is
detected in a flock. Not only will the infected flock be destroyed,
but other flocks in a radius of 3 km. as well. Direct damages of
such single occurrence could accumulate to millions of dollars.
[0011] There are about 1.5 million commercial poultry houses
(broilers, layers, turkeys, hatcheries and others) around the
globe. Health costs of these flocks mounts to 10% of all production
costs (costs of productivity reduction, consequential to morbidity
are excluded), while mortality percentage in these flocks averages
4%-8%.
[0012] There is a need for new health monitoring concept and
technology that will dramatically reduce these cost factors and may
eventually bring about changes in veterinary regulations.
[0013] Similar limitations exist in other industries of livestock
groups mentioned above.
SUMMARY
[0014] According to a first aspect of the present invention there
is provided a livestock groups computerized health monitoring
system comprising: a storage and computing unit storing at least
one database; a plurality of data collecting units of different
types, each type comprising at least one sensor, said data
collecting unit types selected from the group consisting of
acoustic sensors, vitality meters, ammonia sensors, visual sensors
and scent sensors; and first communication means for communicating
operating commands from the storage and computing unit to each of
the data collecting units and for communicating data from the data
collecting units to the storage and computing unit.
[0015] The system may additionally comprise second communication
means for communicating between the storage and computing unit and
a user device.
[0016] The sensors may comprise identification means and wherein
said first communication means comprise means for communicating
operating command to a selected number of identified sensors.
[0017] The at least one database may comprise, for each parameter
measured by the sensors, quantified records of the measured
parameter and quantified records indicating normal status,
abnormalities and pathologies.
[0018] The storage and computing unit may comprise software means
for: computing said quantified records of the measured parameters;
comparing the computed records to said quantified records
indicating normal status, abnormalities and pathologies; and
analyzing the comparison results.
[0019] The storage and computing unit may additionally comprise
software means for analyzing said quantified records of the
measured parameters for changes over time.
[0020] The system may additionally comprise alert means configured
to communicate an alert to said user device upon detection of
deviation from normal in data communicated by at least one of said
data collecting unit types.
[0021] The user device may be selected from the group consisting of
personal computer, telephone and mobile phone.
[0022] The system may additionally comprise means for acquiring
data from external measuring systems selected from the group
consisting of feeding, watering, weighting, temperature and
humidity.
[0023] The acoustic sensors may comprise microphones and wherein
said database comprises vocal signatures.
[0024] The vocal signatures may pertain to at least one of
different parts of the day, different seasons, different stages of
the group's development, different species and different
breeds.
[0025] The visual sensors may comprise digital cameras capable of
capturing the entire group, a specific zone or an individual.
[0026] The vitality meters are attached to a sample of
statistically sufficient number of sentinels within the group.
[0027] Each sentinel may comprise at least one of an identification
means and location means.
[0028] The livestock may comprise one of poultry, bees, cattle,
sheep and goats.
[0029] According to a second aspect of the present invention there
is provided a computerized method for monitoring the health of
livestock groups, comprising the steps of: collecting measurements
data from a plurality of data collecting units of different types,
each type comprising at least one sensor, said data collecting unit
types selected from the group consisting of acoustic sensors,
vitality meters, ammonia sensors, visual sensors and scent
sensors;
[0030] computing quantified records of the measured parameters;
comparing the computed records to pre-stored quantified records
indicating normal status, abnormalities and pathologies; and
analyzing the comparison results. The sensors may comprise
identification means and said measurement data may be collected
from a selected number of identified sensors.
[0031] The method may additionally comprise the step of
categorizing said quantified records of the measured parameters in
view of said comparison results as new normal, abnormal or
pathological phenomena, according to predefined criteria.
[0032] The predefined criteria may comprise changes over time.
[0033] The method may additionally comprise the step of analyzing
said quantified records of the measured parameters for changes over
time.
[0034] The step of analyzing may comprise analyzing the comparison
results of a plurality of measured parameters.
[0035] The method may additionally comprise the step of
communicating an alert to a user device upon detection of deviation
from normal in data communicated by at least one of said data
collecting unit types.
[0036] The user device may be selected from the group consisting of
personal computer, telephone and mobile phone.
[0037] The method may additionally comprise the step of acquiring
data from external measuring systems.
[0038] The external measuring systems are selected from the group
consisting of feeding, watering, weighting, temperature and
humidity.
[0039] The pre-stored quantified records pertaining to the acoustic
sensors comprise vocal signatures.
[0040] The stored vocal signatures may pertain to at least one of
different parts of the day, different seasons and different stages
of the group's development, different species and different
breeds.
[0041] The method may additionally comprise the step of attaching
said vitality meters to a sample of statistically sufficient number
of sentinels within the group.
[0042] Each sentinel may comprise at least one of marking means and
location means.
[0043] The livestock may comprise one of poultry, bees, cattle,
sheep and goats.
BRIEF DESCRIPTION OF THE DRAWINGS
[0044] For a better understanding of the invention and to show how
the same may be carried into effect, reference will now be made,
purely by way of example, to the accompanying drawings.
[0045] With specific reference now to the drawings in detail, it is
stressed that the particulars shown are by way of example and for
purposes of illustrative discussion of the preferred embodiments of
the present invention only, and are presented in the cause of
providing what is believed to be the most useful and readily
understood description of the principles and conceptual aspects of
the invention. In this regard, no attempt is made to show
structural details of the invention in more detail than is
necessary for a fundamental understanding of the invention, the
description taken with the drawings making apparent to those
skilled in the art how the several forms of the invention may be
embodied in practice. In the accompanying drawings:
[0046] FIG. 1 is a schematic representation showing the various
components of an exemplary system according to the present
invention;
[0047] FIGS. 2A and 2B are an exemplary flowchart showing the
operation of the system;
[0048] FIGS. 3A and 3B are an exemplary flowchart showing the
operation of the acoustic sub-system;
[0049] FIG. 4 is an exemplary flowchart showing the operation of
the ammonia and scent sub-systems;
[0050] FIGS. 5A through 5C are an exemplary flowchart showing the
operation of the vitality sub-system;
[0051] FIGS. 6A through 6F are an exemplary flowchart showing the
operation of the visual sub-system; and
[0052] FIG. 7 is an exemplary schematic representation of the
vitality meter.
DETAILED DESCRIPTION
[0053] The "HEMOSYS" (Health monitoring system) is a data collector
and a monitor of livestock's health status and disease
outbreak--which revolutionizes the health control practices in
poultry and other anonymous livestock groups.
[0054] This system presents, for the first time, a combined
approach to livestock groups' health and its monitoring; a systemic
quantified and automated approach of monitoring health parameters
of the entire group on one hand, and individual approach, of
monitoring a statistically sufficient number of individuals in the
group on the other hand. Integration, processing and analysis of
the data collected enables early and reliable detection of
morbidity and disease outbreak.
[0055] This system is designed to enable real-time or near
real-time monitoring of poultry and other livestock groups, by
significant health parameters and behavioral patterns. The data is
collected on site, saved and analyzed on the system server. Health
status reports, analysis results and alerts are transmitted to the
farmer/veterinarian by means of LAN hardware, internet, or by
cellular phone which is integrated into the system.
[0056] There has thus been outlined, rather broadly, the more
important features of the invention in order that the detailed
description thereof that follows may be better understood, and in
order that the present contribution to the art may be better
appreciated. There are, of course, additional features of the
invention that will be described hereinafter and which will form
the subject matter of the claims appended hereto.
[0057] In this respect, before explaining at least one embodiment
of the invention in detail, it is to be understood that the
invention is not limited in its application to the details of
construction and to the arrangements of the components set forth in
the following description or illustrated in the drawings. The
invention is capable of other embodiments and of being practiced
and carried out in various ways. Also, it is to be understood that
the phraseology and terminology employed herein are for the purpose
of description and should not be regarded as limiting.
[0058] As such, those skilled in the art will appreciate that the
conception, upon which this disclosure is based, may readily be
utilized as a basis for the designing of other structures, methods
and systems for carrying out the several purposes of the present
invention. It is important, therefore, that the claims be regarded
as including such equivalent constructions insofar as they do not
depart from the spirit and scope of the present invention.
[0059] Further, the purpose of the foregoing abstract is to enable
the U.S. Patent and Trademark Office and the public generally, and
especially the scientists, engineers and practitioners in the art
who are not familiar with patent or legal terms or phraseology, to
determine quickly from a cursory inspection the nature and essence
of the technical disclosure of the application. The abstract is
neither intended to define the invention of the application, which
is measured by the claims, nor is it intended to be limiting as to
the scope of the invention in any way.
[0060] These together with other objects of the invention, along
with the various features of novelty which characterize the
invention, are pointed out with particularity in the claims annexed
to and forming a part of this disclosure. For a better
understanding of the invention, its operating advantages and the
specific objects attained by its uses, reference should be had to
the accompanying drawings and descriptive matter in which there is
illustrated exemplary embodiments of the invention.
[0061] Other objects of the present invention will be evident to
those of ordinary skill, particularly upon consideration of the
following detailed description of exemplary embodiments.
[0062] FIG. 1 is a schematic representation showing the various
components of an exemplary system according to the present
invention. [0063] The system comprises three main units: [0064] 1.
Data collecting unit (100). A set of sensors and devices (110) for
collecting essential data and transmitting (120) the collected data
to the core (computing) unit (160). [0065] 2. Communication
platform (140). This basic platform serves as bi-directional
communication and control center. It operates and controls (130)
its "Extension fingers"--the data collectors (110), receives data
from the "fingers" and transmits the information (150) to the
computing unit (160). [0066] 3. Computing unit (160) which includes
data bases and analysis programs, integrated to the user hardware.
This core computing unit utilizes smart algorithms constantly and
continuously analyzing the flock's health status, compares the
current status to healthy flock parameters, alerts for
abnormalities and presents (170, 180) the flock's status to the end
user interface (190, 195), be it a mobile phone, a laptop or any
kind of computer system.
[0067] Data collecting unit (100) is an array of sensors and
devices (110), sensing and transmitting predetermined data by means
of low power local RF transmitter, by LAN or any other existing
communications technology. Vital information on site indicating
wellness status, activity and production rate parameters is
gathered and submitted constantly on predetermined schedule.
[0068] The array (100) may include all, or part of the following
means: [0069] Video digital cameras--collecting visual information.
[0070] Such as: Sentry Model PT23DN-OD-OT, or PT23DN/ID, PTZ 1/4'
Color SONY Super HAD CCD DSP camera or similar.
http://www.cctvsentry.com/ [0071] Acoustic sensors--collecting
vocal information. [0072] Such as: AKU2000 of www.akustica.com , or
Roga MI-17 with RogaDAQ2 (analyzer) of www.roga-messtechnik.de or
similar. [0073] Ammonia level detectors. [0074] Such as: GCS512A
AMMONIA DETECTOR of Storage Control [0075] Systems Inc.,
http://www.storagecontrol.com/ammonia.shtml, or GS-100/C gas sensor
system by Greer Systems Automation, http://greersystems.com/ [0076]
Vitality meter units attached to a sample of statistically
sufficient number of individuals (sentinels) in the group, for
monitoring activity and other parameters; [0077] Scent sensing
devices (E-nose sniffers)--Such as: [0078] Griffin cheMSense 600,
or Fido onboard by ICX Technologies, http://www.icxt.com/ [0079] In
house existing measuring systems: Weight, food and water
consumption, humidity, house temperature etc. [0080] Other
detectors.
[0081] The communication platform (140) is a fully developed and
operating unit for monitoring and control of remotely located
electronic systems.
[0082] The unit delivers bi-directional information through LAN,
RF, internet, cellular networks or any other communications
technology and is accessible by mobile phones and computers at any
location, at all times, such as: Bacsoft control system,
http://www.bacsoft.com/bacsoft_eng/index.htm.
[0083] The system server (160) stores and analyzes collected data
using dedicated software. Smart algorithms analyze all data
received from both the system's sensors and from on-site existing
information mechanisms of weight gain, food and water consumption
etc.
[0084] Pre-determination of standard scale of behavior, wellness,
activity, and production rate is programmed into the system
according to typical characteristics of these parameters for each
species and sub-species, in each region and climate area, at each
time of the year and development stage of the group.
[0085] Alert mode is operated upon occurrence of abnormal phenomena
or extreme changes in critical parameters.
[0086] Communication management, protocols and controls are managed
by the server.
[0087] The operational part of the server software activates data
transfer from the sensing sub-systems on predetermined time
intervals. This activation may be sequential or simultaneous. Some
subsystems will collect data constantly, and transmit the collected
data upon the above mentioned activation; others will collect and
transmit data directly upon activation. Proper switching to each
sub-system is made at the communication center. Activation may also
be triggered for specific purposes by either (a) Manual command of
the user or (b) Special command of the system whenever additional
data is required for phenomenon analysis of the entire flock,
specific group or zone or specific individuals.
[0088] Data collected from each sub-system is processed and
analyzed by dedicated software (for each sub-system).
[0089] The data base on the server includes records of normal
patterns for each parameter measured by the sub-systems. Once data
is transmitted by any sub-system, the server will process and
analyze this data specifically for that sub-system, as later
described in the sub-systems description.
[0090] Results from all sub-systems are then being cross referenced
and further analyzed with respect to the following contexts: [0091]
1. The group of sentinels. Changes within the group, relative
position of each sentinel in the group and statistical change of
patterns of the entire group, location and concentration of
sentinels for which change has been detected. [0092] 2. Change of
parameters in more than one sub-system. Statistical weight of each
parameter and adjusted calculation of change significance.
Comparison of results to predefined allowed limits of average,
median, standard deviation and other tests. [0093] 3. Rate of
changes. The program will analyze each change (and combined
changes) in itself to define its rate. This datum is a significant
criteria for triggering an alert--even with new (to the system)
symptoms or otherwise insufficient data for decision making. [0094]
4. Zone analysis. [0095] 5. Specific special statistics. [0096] 6.
Disease comparison and analytics. Some symptoms (or combination of
symptoms) are indicative of certain diseases. These are programmed
in the data base and the algorithm will compare the results to this
file, in order to indicate the suspected disease and the
probability of its occurrence.
[0097] Alerts may be activated by either: (a) Independent triggers
of each sub-system's software and/or (b) Triggering results by
criteria of the combined system analysis.
[0098] Result tables and charts--for each sub-system and for the
entire system are constantly updated and may be displayed
automatically or upon demand on the user interface.
[0099] FIGS. 2A and 2B are an exemplary flowchart showing the
operation of the system.
[0100] In step (200) the various sensing sub-system are operated on
schedule. The sub-systems may comprise all or some of acoustic
(205), visual (208), vitality (210), ammonia and scent (212), other
various sensing sub-systems (215) and existing infrastructure
systems (220) such as feeding, watering, weighting, humidity,
temperature, etc. FIGS. 3, 4, 5 and 6 shows in detail the analysis
performed in the acoustic, ammonia and scent, vitality and visual
sub-systems, respectively. The data records (222) collected from
these sub-systems and from other optional sensing sub-systems (215)
are stored in the in the computer unit's (160) database (225). Data
from existing infrastructure systems (220) is collected (230),
converted and scaled to suit system protocols (232), formatted
(235) into system records (222) and stored in the in the computer
unit's (160) database (225).
[0101] In the system server, data from each sub-system is processed
and analyzed (240, FIG. 2B). The analysis results are checked for
alert conditions (242). If an alert condition exists, the system
proceeds to display the alert on the user's display device (250)
and presents the analyzed records to the user (280).
[0102] If no alert condition has been identified by analyzing each
sub-system's data separately, the system proceeds to integrate
process and analyze the combined records from all sub-systems
(245). The combined data is checked for sufficiency (252). If the
system determines that insufficient data exists for proper
evaluation, the missing data is defined and the proper
sub-system(s) are activated (255) out of the regular schedule. If
the data is deemed to be sufficient, the system proceeds to
evaluate the general health and productivity status of the flock
(260), by comparison with pre-defined normal conditions (262).
[0103] If the status is determined to be within the normal range,
the system cycles back to step (200, FIG. A) to resume scheduled
actuation of the sensing sub-systems. Otherwise, the abnormal
parameters are defined (270). The system then activates correcting
operational measures (such as: Blowers, heaters, or alike) and
proceeds to step (250) to alert the user and present the analyzed
records (280).
[0104] Acoustic Sub-System
[0105] The acoustic sub-system according to the present invention
comprises microphones scattered along the site. Scattering points
are chosen and marked on a 3D map of the site, prepared prior to
the system's positioning. These microphones are either (a) Wired to
the communication center or (b) Include RF transceiver. The
microphones are activated separately, by zone groups or all at
once. Sounds collected are transmitted to the server, microphone
number and time of collection defined and added to each record. Raw
sound records are digitized and spectrum modulated, then processed
and analyzed as shown in FIG. 3. Process includes (but is not
limited to) quantification and manipulation of digitized data
(frequency and amplitude) along a time scale, analysis of changes
along that time, comparison to known vocal signatures and analysis
of other predetermined factors. The data base includes pre-recorded
samples of normal and abnormal known pathologies' acoustic
signatures pertaining to different parts of the day, different
seasons, different stages of the group's development, different
species, different breeds, etc. Once an abnormal pathology is
detected, the user is alerted. Abnormal signatures, unknown to the
system, are being quantified, analyzed and time scaled. Based on
statistical formulations, they are ascribed to either known
pathologies, new abnormalities or to harmless signatures.
[0106] Data analysis may be carried out for each microphone
separately, for any group of microphones in specific zones of the
house or for the entire set of microphones. An alert threshold is
predefined in the system, based on change parameters (such as
quantity and rate) of vocal signatures.
[0107] FIGS. 3A and 3B are an exemplary flowchart showing the
operation of the acoustic sub-system.
[0108] In step (300) the microphones are activated according to the
predefined schedule. Sounds are collected and recorded (302),
followed by digitization and spectrum modulation (305). The
spectrum signature is compared to pre-stored normal spectrum
signatures for the present conditions (e.g. region and climate
area, time of the year and development stage of the group) (310)
and a check for deviation is performed (312).
[0109] If no deviation from the normal is detected, the system
loops back to scheduled activation (300). Otherwise, the deviating
spectral signature is compared to known pathological spectra stored
in the database (320). If a match is found, namely the pathology is
known (322), a new record is added to the pathology file (330). The
new record is processed and analyzed (332), including analysis of
data accumulated over a predetermined period, and the resulting
quantified parameter is compared to a pre-defined threshold (335).
If the result is higher than the threshold the user is alerted
(340) and presented with the results (342). The system then resumes
scheduled activation. Otherwise, if the result is not higher than
the threshold, no alert is issued.
[0110] If in step (322) it was determined that the spectral
signature does not match a known pathology, the system proceeds to
compare the signature to non-tagged vocal signatures stored in a
separate bank in the database (345, FIG. 3B). If no match is found,
namely a similar vocal signature has not been recorded previously,
a new non-tagged spectrum file is opened and the new record id
added to it (352) and the system proceeds to update the results
presented to the user. Otherwise, if a match is found, namely a
similar vocal signature has been recorded previously, the new
record is added to the matched file (355). The new record is then
compared with previous records in the file (360) and changes over
time are being quantified and analyzed (362). For each
predetermined parameter, a comparison is made between the actual
change over time and a predetermined change threshold (365). If it
is determined (370) that the change is higher than the threshold, a
new pathology is defined and the file is moved to the pathologies'
bank (372). The user is alerted and the user interface is updated.
Otherwise, if the change does not surpass the threshold, the system
updates the presented results.
[0111] Ammonia and Scent Sub-Systems
[0112] The Ammonia sub-system according to the present invention
comprises Ammonia detectors scattered along the site. Scattering
points are chosen and marked on a 3D map of the site, prepared
prior to the system's positioning. These detectors are either (a)
Wired to the communication center or (b) Include RF transceiver.
The detectors are activated separately, by zone groups or all at
once. Measures collected are transmitted to the server, detector
number and time of collection defined and added to each record.
Ammonia level records are digitized and saved. Records are analyzed
to detect a raise above predefined threshold level as well as
changes indicating disease.
[0113] The server may be connected to the house operative system
and when Ammonia level is above threshold--activate blowers to
lower that level. This procedure will be limited to a predefined
number of activations. After that, the user will be alerted.
Different levels of alert will be activated upon predefined
criteria of Ammonia level and change of that level along time.
[0114] The scent sensing subsystem according to the present
invention comprises scent devices scattered along the site.
Scattering points are chosen and marked on a 3D map of the site,
prepared prior to the system's positioning. These detectors are
either (a) Wired to the communication center OR (b) Includes RF
transceiver. Devices are designated to identify specific scents,
indicative of specific diseases. They are activated separately, by
zone groups or all at once. Measures collected are transmitted to
the server, detector number and time of collection defined and
added to each record. Fragrance level records are digitized and
saved. Records are analyzed to detect a raise above predefined
threshold as well as for changes indicating disease status. User
will be alerted according to predefined criteria of scent level and
change of that level along time.
[0115] FIG. 4 is an exemplary flowchart showing the operation of
the ammonia and scent sub-systems.
[0116] In step (400) the devices are activated on schedule. Data
records are collected and stored by device and time (410) and
compared to predefined quantified limits of normal range (420). If
no deviation from the limits is detected (430), the system proceeds
to update the user's display (440) and resumes scheduled
activation.
[0117] Otherwise, if the records deviate from the predefined
limits, the deviation is compared to a predefined threshold (450).
If the deviation is higher than the threshold, the user is alerted
and the presented results updated (460). If the deviation is not
higher than the threshold, the user is notified (470). The current
record is then compared to previously stored records of the same
device (480) and the changes over time are quantified and analyzed
(490). The user's display is updated with the new results (440) and
the system resumes scheduled activation.
[0118] Vitality Meter Sub-System
[0119] The vitality meter sub-system according to the present
invention takes the monitoring system from the level of the flock
to the level of the individual within the flock.
[0120] The device comprises one or more of the following
components, as depicted schematically in FIG. 7:
[0121] a. 3D acceleration measuring component (950) using
piezoelectric or MEMS technology.
[0122] (Such as:
http://www.endevco.com/product/ParmProductSearch.aspx)
[0123] b. Pulse rate sensor (920) (Electro-optical or piezoelectric
transducer or electromagnetic), such as: Nonin pulse sensor, model
2000SA, http://www.nonin.com/index.asp, or Timex T5 series or Polar
FS series, or others.
[0124] c. Temperature measuring component (930) using
thermistor.
[0125] d. Micro-processor (910) of type PIC32 or PIC16 of
"Micro-Chip" or similar.
[0126] e. RF receiving and transmitting components (960) such as
transponder of type RFID-RADAR, by Trolly Scan Ltd.
http://trolleyscan.com/ or similar, or transceiver of type TRC103
by RFM, http://www.rfm.com/index.shtml or similar.
[0127] g. Power source (970).
[0128] The components are integrated to create the vitality
meter.
[0129] The vitality meter is attached to (or implanted in) a
certain number of individuals within the flock, to pre-determined
parts of the body--be it a leg, a wing, a neck, or other part. It
measures crucial parameters of vitality, all or part of the
following: Movement patterns, including differentiation between
walking, eating, drinking, standing, sitting, etc., abnormal
movements, blood pulse, temperature, rumination and breathing
patterns. These parameters are measured continuously or
alternately, on a predetermined time scale and the data is
collected and transmitted to the system server by means of local RF
transmitter. Each unit has its own ID code to enable individual
identification of the unit carrier--sentinel.
[0130] The vitality meter units are mounted on a sample of
statistically sufficient number of individuals within the flock, in
order for the data collected to be statistically valid and
sufficient for evaluation of the flock's health and for alert of
disease outbreak and morbidity rate.
[0131] As mentioned above, the "sentinels" (individuals within the
flock to which the units are attached) are sampled in a
statistically sufficient number, not only to indicate a disease in
the specific sentinel but to indicate tendencies of diseases to
spread in the entire flock.
[0132] Since each "sentinel" has a personal ID through its unit's
code and/or local positioning means, it can be easily approached
for further investigation and disease diagnosis by the
veterinarian.
[0133] The local positioning means (940, FIG. 7) may comprise:
[0134] a. Radio operated, marked on the systems' 3D map and can
consequently be located by the system visual camera or human,
and/or:
[0135] b. Visually or vocally noted, producing a special signal
like a beacon when activated. Signal may be produced by
electro-magnetic marking devices such as a LED or a piezoelectric
buzzer that can be noted/observed at the designated distance
and/or:
[0136] c. Constantly visually marked and can be observed at any
time. Marking is achieved by a ribbon or patch of any material, or
other object, attached to any body part of the sentinel and divided
to symmetric areas, each with a different color. The combination of
colors on the marker defines the sentinel's ID, hence enabling
individual visual monitoring of the sentinel by camera or by human
eyes.
[0137] d. Local Positioning System (LPS), implementing GPS
technology on a local scale. When a specific transceiver or
transponder transmits its ID code, the transmission is received by
a plurality of receivers scattered in the site. The server
calculates distance from the receiving antennae according to the
time differential of the received transmissions and the combined
distances mark the sentinel's position.
[0138] All data transmitted from the sentinels is stored and
analyzed at the system server, compared to data from other sensors
and to healthy normal range of parameters. The analyzed data may be
presented in charts and graphs and the system alerts the user of
any abnormality.
[0139] Alerts are made to the farmer/veterinarian--according to
predetermined criteria--to their mobile phone, PC, laptop or any
other instrument of their choice.
[0140] FIGS. 5A through 5C are an exemplary flowchart showing the
operation of the vitality sub-system. The flowchart represents
operations relating to a single sentinel, where identical processes
are simultaneously taking place for all sentinels.
[0141] In step (500) data is collected from the sentinel's vitality
meter and temporarily saved in the vitality unit's processor memory
(505). Subsequently, on scheduled timing, the stored data is
transmitted to the system server (510) and then erased from the
unit processor's memory (515).
[0142] On the server side, the received records are saved (520) and
each parameter is checked for deviation from its predefined normal
range (525). If no deviation is detected, the operation ends till
the receipt of a subsequent batch of data. Otherwise, if a
deviation from normal is detected for any of the parameters, the
last record for each deviating parameter is compared with its
previous records (530) and the changes are analyzed (535). The
changes in parameters are compared to individual thresholds (540).
If the change is determined to be higher than the threshold, the
results are added to a combined sentinels file (545, FIG. 5B), the
quantified deviations of all the sentinels for each specific
parameter are analyzed (550) and the relevant database tables are
updated (555). The aggregate deviation is then compared to a
predefined threshold (560) and an alert is issued to the user (570)
if the threshold has been surpassed. Otherwise, the user is
notified of the changes.
[0143] If the changes in the parameters of the individual sentinel
are not higher than the threshold, the sentinel is marked (in the
database) and an individual visual scan is ordered from the visual
subsystem (575, FIG. 5C), using the sentinel ID and/or position
marker. Upon completion of the individual visual scan, the sentinel
is unmarked (580).
[0144] Visual Sub-System
[0145] The visual sub-system according to the present invention
combines both capabilities of the system--group and individual
monitoring. The sub system comprises digital cameras scattered
along the site. Scattering points are chosen and marked on a 3D map
of the site, prepared prior to the system's positioning. These
cameras are either (a) Wired to the communication center or (b)
Includes RF transceiver. They are activated separately, by zone
groups or all at once. Visual data collected is transmitted to the
server, camera number and time of collection defined and added to
each record. Records are modulated, then processed and analyzed as
described in conjunction with FIG. 6. Process includes (but is not
limited to) quantification and manipulation of digitized data along
a time scale, analysis of changes along that time, comparison to
known visual patterns and analysis of other predetermined factors.
The database includes pre-recorded samples of normal, abnormal, and
known visual representations of pathologies and behavior patterns.
Once an abnormal pathology is detected, the user is notified or
alerted according to predefined criteria. Abnormal patterns,
unknown to the system, are being quantified, analyzed and time
scaled. Based on statistical formulations, they are ascribed to
either known pathologies, new pathologies or to harmless
patterns.
[0146] Data analysis may be carried out for each camera separately,
for any group of cameras in a specific zone of the house or for the
entire set of cameras.
[0147] A threshold of alert is predefined in the system, based on
change parameters (such as quantity and rate) of visual
signatures.
[0148] When a specific camera observes an abnormal pattern
demonstrated by one (or more) of the individuals, it automatically
zooms on that individual and tracks it for a predetermined period
of time, before returning to the normal scanning routine.
[0149] On top of scheduled scanning, cameras perform specific
scanning or zooming and tracking when scheduled for this task by
the system, consequently to discovery of abnormal patterns by any
other sub-systems, as described in detail in conjunction with FIG.
6.
[0150] Further to these assignments, the visual sub-system may be
assigned to perform individual vitality monitoring and tracking. In
this mode, each camera covers a limited and specific zone of the
house. The camera will track all marked sentinels that are within
its zone for a predefined time scheduled for this assignment.
Sentinels movement characteristics and details will be recorded and
saved to each sentinel personal file and further analyzed as
described in conjunction with the vitality subsystem.
[0151] FIGS. 6A through 6F are an exemplary flowchart showing the
operation of the visual sub-system.
[0152] In step (600) the system checks whether a request for
focused scan is pending. If it is, the system proceeds to step
(650, FIG. 6B) to perform a focused scan. Otherwise, the visual
zone scan is activated by scanning the first defined zone, zone
"0", for a predetermined period (610), followed by incrementing the
scanned zones count (615). The scan results are compared to
pre-stored abnormality files (620) and if abnormalities are
detected (625) the system proceeds to step (650, FIG. 6B) to
perform a focused scan. If no abnormalities were detected, the
system checks whether all the zones have been scanned (630). If
more zones need to be scanned, it proceeds to the next zone (635).
Otherwise, if all zones have been scanned, the scanned zones count
is zeroed and the system proceeds to step (735, FIG. 6D) to perform
sentinels scan.
[0153] In step (650, FIG. 6B) a focused scan is activated, for the
first requested zone or sentinel and the scan record is saved
(660). The record is compared to normal pattern files stored in the
database (665) and if the comparison shows normal patterns (670)
the system loops back to step (600, FIG. 6A). Otherwise, if an
abnormal pattern was detected, which does not belong to a known
pathology (675), the system proceeds to step (705, FIG. 6C) for
analysis. If the abnormal pattern detected is that of a known
pathology, the present record is compared to previously stored
records (680). The changes (from previous records) of each
pathology are quantified and analyzed (685), analysis results saved
and user display updated accordingly (690). If the changes are
above a predetermined limit (695), the user is alerted (700). The
system loops back to step (600 FIG. 6A).
[0154] In step (705, FIG. 6C) the abnormal parameters of an unknown
pathology are quantified (as per their deviation from normal) and
analyzed. A new abnormality file is added to the database (710)
with the records and analysis results. The system then notifies the
system engineer to incorporate the detected abnormality to a new
category in the system (715) and the user's display is updated with
the new results (720). If the change is above a predefined
threshold (725) the user is alerted (730). The system loops back to
step (600 FIG. 6A).
[0155] In step (735. FIG. 6D) the sentinels scan is activated by
scanning the assigned zone. The sentinels are identified within the
scanned zone (740), as described above and the system proceeds to
monitor the identified sentinels for a predetermined time (750).
During the monitoring period, movement data of all the monitored
sentinels is recorded and saved (755). Following the monitoring
period, the saved records are analyzed for movement
characteristics, for each sentinel (760). Each detected
characteristic is quantified (765) and the results are saved in the
sentinel's file, with a timestamp (770).
[0156] In step (775, FIG. 6E) each sentinel's record is compared to
a pre-stored file defining normal movement criteria. If a deviation
from normal is detected (780), the system proceeds to step (805,
FIG. 6F) for analysis. Otherwise, if all the sentinels' movements
are deemed to be normal, the sentinel group file is updated with
the individual results of each sentinel (785) and the user display
is updated (795). If all the requested zones or sentinels have been
focus-scanned (795), the system loops back to step (600 FIG. 6A).
Otherwise, a focus scan is initiated for the next requested zone or
sentinel (800).
[0157] In step (805, FIG. 6F) the deviated sentinel's record is
compared to previous records of deviated sentinels. The changes for
each sentinel and for the group of sentinels are quantified and
analyzed (810), the analysis results are saved (815) and the user's
display is updated (820). If the detected change is above a
predefined limit (825) the user is alerted (830). If all the
requested zones or sentinels have been focus-scanned (835), the
system loops back to step (600 FIG. 6A). Otherwise, a focus scan is
initiated for the next requested zone or sentinel (840).
[0158] Existing In-House Devices
[0159] The server of the present invention may be connected to
existing infra structures of the poultry house. Data collected in
these devices is added to the database and used by the system to
analyze and evaluate the flock's health status--continuously.
[0160] Data may include feeding and watering rates, house
temperature and humidity, weighting results of chickens in the
house (randomly taken) or any other factor currently measured in
the operative system of the poultry house.
[0161] Workflow Example
[0162] Following is an exemplary workflow of the system according
to the present invention, for detecting Infectious
laryngotracheitis (ITL) in poultry.
[0163] ITL is an acute, highly contagious, herpesvirus infection of
chickens and pheasants characterized by severe dyspnea, coughing,
and rales. It can also be a subacute disease with lacrimation,
tracheits, conjunctivitis, and mild rales. It has been reported
from most areas of the USA in which poultry are intensively reared,
as well as from many other countries.
[0164] Clinical Findings: In the acute form, gasping, coughing,
rattling, and extension of the neck during inspiration are seen
5-12 days after natural exposure. Reduced productivity is a varying
factor in laying flocks. Affected birds are anorectic and inactive.
The mouth and beak may be bloodstained from the tracheal exudate.
Mortality varies, but may reach 50% in adults, and is usually due
to occlusion of the trachea by hemorrhage or exudate. Signs usually
subside after approximately 2 weeks, although birds may cough for 1
month. Strains of low virulence produce little or no mortality with
slight respiratory signs and lesions and a slight decrease in egg
production.
[0165] In the workflow of the system according to the present
invention, respiratory signature changes are the first to be
detected by the acoustic sub system--within hours from first
appearance of clinical signs. Upon activation (205) of the acoustic
sensors--data is recorded (302), digitized and modulated (305).
Upon comparing this record with normal spectrum signature file
(310) on the data base, a deviation from normal is detected (312).
Rales (The digitized signature of the pathology is preprogrammed to
the system's data base) are increasingly overheard, especially at
night sessions, when other daily vocal signatures are silenced.
Same patterns will be evident for other pathologies such as
coughing and gasping. Records are analyzed (332) and compared to
predefined allowed limits of the quantified pathology (335).
Analysis is preformed for both the quantified phenomenon in itself
(level/volume of rales/coughing/gasping signature in its spectrum
band) and for the rate of change of each phenomenon. If it is
higher than threshold (i.e.: a large number of birds are having the
symptom and/or rate of manifestation is high) (335), an alert will
be triggered by the subsystem (340). If lower than threshold,
updates are made (342) and the subsystem returns to routine.
[0166] In itself, if the rate of pattern change of the acoustic
pathologies is high enough it will trigger an alert.
[0167] The Vitality sub-system will produce indications following
(or simultaneously) to the acoustic sub-system. Once activated,
(500) an increasing number of infected sentinels will exhibit a
continuous decrease in productivity, feeding and activity (545). In
itself, if the number of sentinels exhibiting a decrease in
vitality patterns is above predefined threshold for each parameter,
it will trigger alert. The rate of change is also analyzed and may
trigger an alert for fast deterioration of vitality even for a
relatively small number of sentinels (550). Criteria for alert are
preprogrammed for each parameter measured as well as for change
rate.
[0168] Visual indication: Ordered specific focused scan of zone or
of sentinels (575/600/650) will identify the extension of the neck
during inspiration (predefined as a pathology) (675) of these
sentinels.
[0169] Existing infrastructure systems: Data from these systems
will indicate (230) a decrease in water and food consumption,
respectively to the changes indicated in other subsystems.
[0170] Even if alert is not triggered by any specific subsystem, it
may be triggered by the system's program, based on the statistical
weight of indicating parameters and on the rate of change of these
parameters along a predefined time scale.
[0171] For example: The disease is in early stages and not many
sentinels have been infected. However, acoustic changes and visual
observations of extended necks are growing by the hour. The system
will trigger an alert.
[0172] The following table is an exemplary system alert
determination schedule based on the various sub-systems'
indications.
TABLE-US-00001 System Disorder Subsystem Alert (Samples) Vitality
Acoustic Ammonia Visual Feeding Water Level Heat stress Sharp
Decrease at Mild No High High decrease in all increase change
decrease increase movement - frequencies all sentinels AL 5 5 1 0 5
5 5 Cold stress Mild No No No High High decrease in change change
change increase decrease movement - all sentinels AL 2 0 0 0 2 2 3
Chronic Mild No Low to Growing Moderate Moderate Disease (e.g.
decrease in change medium visual decrease decrease Coccidiosis)
movement - increase signs manifestation growing % of sentinels AL 3
0 3 1 2 2 4 Acute Fast Fast growing Rapid Visual Mild Mild Disease
(e.g. decrease in patterns of increase pathologies decrease
decrease Avian Flue, vitality - in a pathologies Newcastle) fast
growing signatures manifestation number of sentinels AL 5 5 5 4 1 1
5 Chronic Moderate Moderately No Moderate Mild No respiratory
decrease in growing change growth of decrease change disease
vitality - in a patterns of visual moderately pathologies
pathologies growing signatures number of sentinels AL 4 4 0 3 1 0 4
Acute High High rate of None to Rapid Moderate Moderate respiratory
decrease in growing mild growth of decrease decrease disease (e.g.
vitality - in a patterns of increase visual ILT) highly pathologies
pathologies growing signatures number of sentinels AL 5 5 2 4 1 1 5
Legend: Alert Level (AL) 0: Normal state, healthy productive flock.
Alert Level (AL) 1: Mild disruption, slight decrease in
productivity. Alert Level (AL) 2: Mild disruption, slight decrease
in health status. Notify user. Alert Level (AL) 3: Mediocre
disorder. Low level alert. Alert Level (AL) 4: Significant
disorder. High level alert. Alert Level (AL) 5: Catastrophe.
Emergency alert. indicates data missing or illegible when filed
[0173] The technology described above refers mainly to poultry but
is well applicable to other livestock groups--with proper
modification for each species monitored.
[0174] Exemplary Implementation to Other Species:
[0175] Bees and Bee Hives:
[0176] The main three units of the system remain, i.e.: Sensors
array, communication platform and computing unit. Modified elements
at each unit: [0177] 1. Computing unit (System server): Data base
and software, corresponding and designed to bees health factors,
disease, productivity etc. Operating software is modified
respectively. [0178] 2. Sensors array. Sensors that are scattered
in the hive or its door or nearby the hives, collecting data from a
sample of statistically sufficient number of hives within the
group. Array may include (but not limited to) the following: [0179]
(a) Acoustic sensors. Microphones or other acoustic sensors. A
healthy hive can be characterized by certain acoustic patterns,
typical for each sub-specie, time of day, season and development
stage of the colony. These patterns are changing in accordance with
the nature of activity and its extent, correlative to the colony's
health. Changes of acoustic patterns may be indicative of the hive
general health, and in some cases, even of high probability for
specific disease, such as Chronic Paralysis or Nosema, that are
characterized by rapid and dramatic reduction of activity within
the hive. [0180] (b) Scent sensors. Dedicated sensors for specific
scents, typical of certain diseases, such as AFB and EFB. These
diseases are characterized by unique odor which increases
correlatively to its infestation. [0181] (c) Weighting scales.
Indicative of the colony production rate, general health and its
development status and rate. [0182] (d) Temperature sensors.
Indicative of the colony production rate, general health and its
development status and rate. [0183] (e) Visual sensors. Video
camera/s collecting visual information from each apiary door and
the immediate vicinity of the door. Some bees disorders such as
Chronic paralysis, Nosema and Tracheal Mites have typical visual
symptoms that may be observed mainly at the entrance to the hive or
near by. [0184] 3. Communication center, located on site, no
modification is required.
[0185] Additional power source is required for this application,
adequate for operation in outdoor conditions.
[0186] Grazing Herds of Sheep or Cattle:
[0187] The system is applicable to large herds of grazing sheep,
goats or cattle. These herds are kept outdoors all year around and
are inspected as a group--with no individual monitoring of each and
every member of the group. Inspection usually takes place in
gathering points--where the herds come for drinking or for
supplemental food supply. This farming pattern is very common in
South America, in the south west of the US, in Australia and in New
Zealand (with sheep).
[0188] Again, the main three units of the system remain, i.e.:
Sensors array, communication platform and computing unit. Modified
elements at each unit: [0189] 1. Computing unit (System server):
Data base and software, corresponding and designed to cattle/sheep
health factors, disease, productivity etc. Operating software is
modified respectively. [0190] 2. Sensors array. Array may include
(but is not limited to) the following: [0191] (a) Vitality sensors
modified for cattle/sheep, implanted in or attached to a sample of
statistically sufficient number of individuals/sentinels within the
herd. Such units as commercially used for dairy herds, like
"AfiAct" of S.A.E. Afikim (www.afimilk.co.il/) or similar, with
proper modification in the radio component of the unit. [0192]
Vitality signs are indicative of most of the cattle and sheep
diseases and disorders (Anaplasmosis, BVD, Foot and mouth--to
mention just a few). A change in walking pace, a limp, a decrease
in rumination rate and temperature change are all signs of some
disorder. Early detection of these signs is made possible by the
vitality unit. In case the unit is implanted, an additional
amplified transceiver will be attached to the sentinel's neck for
transmission of the sentinel's vitality data collected to the
communication center. [0193] (b) Visual sensors. Video camera/s,
located in the above mentioned gathering points, collecting visual
information on the sentinels and herd at gathering times. Some
cattle and sheep disorders such as: Blackleg, bloat, BVD, Foot rot,
Listeriosis and others have typical visual patterns that may be
observed and analyzed by the system. Together with the cumulated
data of the vitality units of the sentinels, the visual data may
focus the analysis and display probability for specific disorders.
[0194] (c) Acoustic sensors. Sensors scattered along the gathering
site, collecting vocal data of the herd (abnormal breathing,
coughing, stress or others). Data is communicated to the
communication center located on site by means of local RF
transceivers or local wiring. Vocal data may indicate diseases such
as: Anaplasmosis, Anthrax, Thrombosis, TB, Rinderpest and others.
[0195] 3. Communication center. Modification for this application
may include long range radio transceiver, for remote rural areas in
which cellular infrastructure does not exist and additional
rechargeable power source, possibly with solar charger for long
term operation.
* * * * *
References