Method and system for tracking health in animal populations
An animal health monitoring system includes a plurality of animal tag assemblies configured for being disposed on members of an animal population, each of the animal tag assemblies including one or more sensors configured to measure one or more animal characteristics of a member of the animal population. The system includes a concentrator communicatively coupled to the plurality of animal tag assemblies and configured to acquire one or more animal characteristics from the plurality of animal tag assemblies. The system includes a controller communicatively coupled to the concentrator and configured to receive the acquired one or more animal characteristics from the plurality of animal tag assemblies from the concentrator, determine a health state of one or more of the members of the animal population based on the received one or more animal characteristics, and report the determined health state to one or more user devices.
1. A system for monitoring one or more characteristics in an animal population, comprising:
a concentrator communicatively couplable to a plurality of animal tag assemblies, each animal tag assembly configured for being disposed on an animal of the animal population, each of the animal tag assemblies including one or more sensors configured to measure one or more animal characteristics of the animal of the animal population, wherein the concentrator is configured to acquire the one or more animal characteristics from the plurality of animal tag assemblies; and
a remote server communicatively coupled to the concentrator, wherein the remote server includes one or more processors configured to execute a set of program instructions stored in memory and configured to cause the remote server to:
train a machine learning classifier based on data from the plurality of animal tag assemblies associated with one or more animals having a known health state;
receive data from the plurality of animal tag assemblies, the data indicative of two or more animal characteristics of one or more animals of the animal population;
assign one or more health states to one or more animals of the animal population with the machine learning classifier based on at least the data received from the plurality of animal tag assemblies, wherein the one or more health states comprise at least one of a healthy state, a sick state, a diseased state, or an injured state; and
report the determined health state to one or more user devices.
2. The system of claim 1 , wherein the assign one or more health states to one or more animals of the animal population is also based on a multi-variable correlation between at least two of the two or more animal characteristics derived from at least the data received from the plurality of animal tag assemblies.
3. The system of claim 1 , wherein the assign one or more health states to one or more animals of the animal population also comprises:
calculating a temperature metric of the animal for a selected time period, where the temperature metric is indicative of the animal's temperature throughout the selected time period;
calculating an acceleration metric of the animal over the selected time period where the acceleration metric is indicative of the animal's acceleration throughout the selected time period;
determining an average historical temperature metric and an average historical acceleration metric of the animal;
comparing the calculated temperature metric and the calculated acceleration metric to the average historical temperature metric and the average historical acceleration metric to determine the existence of one or more abnormalities; and
wherein the assign one or more health states to one or more animals of the animal population is also based on at least one of the one or more abnormalities.
4. The system of claim 1 , wherein the plurality of animal tag assemblies include a first animal tag assembly and at least a second animal tag assembly, wherein the first animal tag assembly is configured for being disposed on a first animal of the animal population and the at least a second animal tag assembly is configured for being disposed on at least a second animal of the animal population.
5. The system of claim 4 , wherein the first animal tag assembly includes one or more sensors configured to measure one or more animal characteristics of the first animal of the animal population and at least a second animal tag assembly includes one or more sensors configured to measure one or more animal characteristics of the at least a second animal of the animal population.
6. The system of claim 1 , wherein one or more animal tag assemblies of the plurality of animal tag assemblies include a plurality of sensors.
7. The system of claim 6 , wherein the plurality of sensors includes one or more temperature sensors configured to measure at least one of an inner ear temperature, or an ear surface temperature.
8. The system of claim 1 , wherein the remote server is further configured to receive local weather data for a location associated with the concentrator.
9. The system of claim 6 , wherein the plurality of sensors further includes an inertial measurement unit.
10. The system of claim 1 , wherein one or more animal tag assemblies of the plurality of the animal tag assemblies comprise:
one or more animal ear tag assemblies.
11. The system of claim 1 , wherein the assign one or more health states to one or more animals of the animal population also comprises:
comparing the received data indicative of one or more animal characteristics of one or more animals of the animal population to a set of standardized characteristics associated with the two or more animal characteristics to determine the existence of one or more abnormalities; and
wherein the assign one or more health states to one or more animals of the animal population is also based on at least one the one or more abnormalities.
12. The system of claim 1 , wherein the one or more animal characteristics comprise:
at least one of a physiological characteristic or a behavioral characteristic.
13. The system of claim 12 , wherein the physiological characteristic comprises:
at least one of a temperature or a heart rate.
14. The system of claim 12 , wherein the behavioral characteristic comprises:
at least one of a position characteristic, an activity characteristic, or a posture characteristic.
15. The system of claim 14 , wherein the posture characteristic comprises:
a head tilt measurement.
16. The system of claim 1 , wherein the animal population comprises:
at least one of a population of livestock, a population of horses, a population of pet animals, a population of zoo animals, a population of wild animals, or a population of humans.
17. The system of claim 1 , wherein the one or more user devices comprise:
at least one of a laptop, a smartphone, a tablet, or a wearable device.
18. The system of claim 1 , wherein the particular animal tag assembly is configured to transmit a provisioning packet to the concentrator in a provisioning time slot and wherein the concentrator is configured to transmit an allotted data timeslot to the particular tag in response to receiving the provisioning packet, wherein the particular tag is configured to transmit one or more signals indicative of the one or more animal characteristics to the concentrator at a time corresponding to the allotted data timeslot received from the concentrator.
19. The system of claim 2 , wherein the data from the plurality of animal tag assemblies comprises raw data, wherein the assign one or more health states to one or more animals of the animal population based on the multi-variable correlation between at least two of the two or more animal characteristics derived from at least the data received from the plurality of animal tag assemblies comprises:
assign one or more health states to one or more animals of the animal population based on a multi-variable correlation between at least two of the two or more animal characteristics derived from at least the raw data received from the plurality of animal tag assemblies.
20. The system of claim 1 , further comprising:
training the machine learning classifier with at least the data from the animal tag assemblies.
21. The system of claim 2 , wherein the data from the plurality of animal tag assemblies comprises raw data, wherein the assign one or more health states to one or more animals of the animal population based on the multi-variable correlation between at least two of the two or more animal characteristics derived from at least the data received from the plurality of animal tag assemblies comprises:
pre-processing the raw data into a format suitable for machine learning; and
assign one or more health states to one or more animals of the animal population based on a multi-variable correlation between at least two of the two or more animal characteristics derived from at least the pre-processed data.
22. The system of claim 21 , further comprising:
filtering the pre-processed data based on at least one of a selected animal of the animal population, a selected group of animals of the animal population, or a selected time period prior to the assign one or more health states to one or more animals of the animal population based on the multi-variable correlation between at least two of the two or more animal characteristics derived from at least the pre-processed data.
23. The system of claim 1 , wherein the data received from the plurality of animal tag assemblies comprises at least temperature data and acceleration data.
24. The system of claim 1 , further comprising:
predicting one or more future health states of one or more animals of the animal population based on the two or more animal characteristics derived from at least the data received from the plurality of animal tag assemblies.