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US 11,589,559 B2Granted
Adaptive sensor performance based on risk assessment
AssigneeFarm Jenny LLC
InventorsL. Robert Crouthamel, Tammy L. Crouthamel, Nathanial R. Drake
Life of this patent
Estimating the term…
Abstract
Methods to conserve a sensor's power include training a model to predict a condition of an animal with a training data set, wherein the training data set comprises known outcomes associated with behavioral data and health data for a plurality of animals; sensing, with a sensor worn by a monitored animal, behavioral data and health data of the monitored animal; inputting the behavioral data and health data of the monitored animal into the model; predicting a condition of the monitored animal with the model based on the inputted behavioral data and health data; and configuring a parameter of the sensor associated with the monitored animal based on the predicted condition.
Claims19
A system for monitoring livestock on a farm, the system comprising:
- a wearable mount adapted to be worn on an animal at a mounting location, the wearable mount comprising a housing and an RFID device within the housing being programmable with identification data of an animal wearing the wearable mount;
- a sensor releasably connectable to the wearable mount, the sensor comprising a memory device and at least one processor, wherein the memory device is programmed to configure the sensor, via the at least one processor, to be associated with the animal wearing the wearable mount based on the identification data of the animal wearing the wearable mount, and wherein the sensor is adapted to generate data regarding a parameter of the animal wearing the wearable mount when the sensor is connected to the wearable mount;
- at least one receiver for receiving the identification data of the animal wearing the wearable mount and the data regarding the parameter of the animal wearing the wearable mount from the sensor;
- and
- an application for monitoring livestock, in communication with the at least one receiver, the application structured to:
- monitor the data regarding the parameter of the animal wearing the wearable mount;
- predict a condition of the animal wearing the wearable mount based on the data regarding the parameter of the animal wearing the wearable mount using a trained model;
- and
- configure a parameter of the sensor associated with the animal wearing the wearable mount based at least in part on the predicted condition.
6 more elements
A system for monitoring livestock on a farm, the system comprising:
- a first wearable mount adapted to be worn on a first animal at a first mounting location, the first wearable mount comprising a housing and an RFID device within the housing being programmable with identification data of the first animal;
- a first sensor releasably connectable to the first wearable mount, the first sensor comprising a first memory device and a first processor, wherein the first memory device is programmed to configure the first sensor, via the first processor, to be associated with the first animal based on the identification data of the first animal, and wherein the first sensor is adapted to generate data regarding a parameter of the first animal when the first sensor is connected to the first wearable mount;
- a second wearable mount adapted to be worn on a second animal at a second mounting location, the second wearable mount comprising a housing and an RFID device within the housing being programmable with identification data of the second animal;
- a second sensor releasably connectable to the second wearable mount, the second sensor comprising a second memory device and a second processor, wherein the second memory device is programmed to configure the second sensor, via the second processor, to be associated with the second animal based on the identification data of the second animal, and wherein, the second sensor is adapted to generate data regarding a parameter of the second animal when the second sensor is connected to the second wearable mount;
- at least one receiver for receiving the data regarding the parameter of the first animal from the first sensor and the parameter of the second animal from the second sensor;
- and
- an application for monitoring livestock, in communication with the at least one receiver, the application structured to:
- determine a proximity of the first sensor to the second sensor;
- establish a membership of the first animal in a herd based on the determined proximity and at least one of:
- the data of the parameter of the first animal, or the data of the parameter of the second animal;
- monitor the data regarding the parameter of the first animal and the second animal;
- predict a condition of the first animal by inputting behavioral data and health data of the first animal and behavioral data and health data of the second animal to a trained model;
- and
- configure a parameter of the first sensor based on the predicted condition, wherein the parameter is at least one of a measurement interval of the first sensor, a frequency between intervals of data transmitted from the first sensor, a sensitivity, a communications power of the first sensor, or a needed location information fidelity.
11 more elements
A system for monitoring livestock on a farm, the system comprising:
- a wearable mount adapted to be worn on an animal at a mounting location, the wearable mount comprising a housing and an RFID device within the housing being programmable with identification data of an animal;
- and
- a sensor releasably connectable to the wearable mount, the sensor comprising a memory device and at least one processor, wherein the memory device is programmed to configure the sensor, via the at least one processor, to be associated with the animal based on the identification data of the animal, and wherein the sensor is adapted to generate data regarding a parameter of the animal when the sensor is connected to the wearable mount, wherein the at least one processor is programmed to:
- assess a health risk for the animal based on data generated by the sensor;
- and
- generate instructions to modify at least one of a sensing interval of the sensor or a communication interval based on the health risk.
3 more elements
Dependencies are inferred from the claim text.