“Method And System For Real-Time Livestock Management” in Patent Application Approval Process (USPTO 20210029971)

2021 FEB 23 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A patent application by the inventors Moreno, Andres Felipe Posada (Durham, NC); Mejia, Daniel Jimenez (Durham, NC), filed on October 14, 2020, was made available online on February 4, 2021, according to news reporting originating from Washington, D.C., by NewsRx correspondents.

This patent application is assigned to Premex Inc. (Durham, North Carolina, United States).

The following quote was obtained by the news editors from the background information supplied by the inventors: “Livestock production currently suffers from a fragmented system where an animal may be weighed only a limited number of times during ownership. Any adjustments made to the livestock’s nutritional program to accommodate for changes in weight, health status and other health indicators are not usually made or are made at a time that is too late to improve the animal’s health. Even when changes to a livestock feed is made, a livestock owner is usually relegated to purchasing and feeding livestock from bulk purchased foodstuff. Such a lack of care may result in underweight, overweight or otherwise unhealthy livestock since particular livestock may need regular nutritional adjustments during their lifespan to compensate for changes in various factors. Such lack of nutritional adjustment and feeding conditions may result in profit loss for the livestock owner. Thus, there remains a need for system and method that addresses these and other challenges in real-time and provides a health management plan particularly suited to livestock in immediate need thereof.”

In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors’ summary information for this patent application: “According to one aspect, a method of managing livestock health in real-time is provided. The method includes the step of obtaining real-time livestock sensor data from at least one sensor located on or around one or more livestock. The data includes at least one of livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH. The method further includes the step of analyzing, by processor, the real-time livestock sensor data upon receipt from the at least one sensor to detect at least one anomaly in the livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH. Any one or more health-related anomalies may be analyzed and detected and stored in the system provided herein. The method further includes the step of generating a customized livestock health management plan that includes one or more recommended nutritional changes for the livestock in the form of a customized feedstock recipe. The recipe is particularly suited and customized to cure the at least one detected anomaly. The method further includes the step of transmitting the livestock health management plan wirelessly to at least one livestock owner interface as provided herein. Upon transmission to the livestock owner interface, the livestock owner has the option to confirming acceptance of the plan or denying acceptance. Upon confirmation of acceptance of the livestock health management plan, a wireless signal is sent to a feedstock producer including instructions to manufacture the customized feedstock recipe for the livestock owner. According to one embodiment of the method, the livestock sensor data is obtained from a plurality of sensors located on a plurality of livestock and the customized feedstock recipe may be fed to the plurality of livestock. According to one embodiment of the method, the livestock sensor data is obtained from at least one sensor on or around an individual livestock animal and the customized feedstock recipe may be fed to the individual livestock animal. According to one embodiment of the method, the at least one sensor transmits a particular code associated with an individual livestock animal such that the customized feedstock recipe is particularly suited for the one livestock animal that matches the particular code. According to one embodiment of the method, the customized feedstock recipe includes a change in protein, vitamin, mineral or caloric intake to correct the anomaly. According to one embodiment of the method, the health management plan further includes at least one livestock medical diagnosis and, optionally, at least one prescribed medicament.

“According to another aspect, a system for livestock health management is provided. The system includes at least one server, at least one livestock owner interface including a data entry system, the livestock owner interface in wireless communication with a gateway and the at least one server, at least one livestock sensor, the livestock sensor coupled to a gateway that is in wireless communication with the at least one server, a livestock feed producer interface including a data entry system, the livestock manufacturer interface in wireless communication with the at least one server and livestock feed manufacturing equipment, and a memory and processor in wireless communication with the server, livestock owner interface, at least one livestock sensor and livestock producer interface. The memory and processor are configured to perform the step of obtaining real-time livestock sensor data from at least one sensor located on or around one or more livestock, the data including at least one of livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH. The memory and processor are also configured to perform the step of analyzing the real-time livestock sensor data to detect at least one anomaly in the livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH. The memory and processor are configured to perform the step of generating a customized livestock health management plan that includes a tailored feedstock recipe adapted to cure the at least one detected anomaly upon being fed to the livestock. The memory and processor are configured to perform the step of transmitting the livestock health management plan wirelessly to at least one livestock owner interface. According to one embodiment, the system further includes at least one livestock scale, the livestock scale coupled to a gateway that is in wireless communication with the at least one server, memory and processor. According to one embodiment, the system further includes at least one database coupled to or in wireless communication with a gateway that is in wireless communication with the at least one server, memory and processor. According to one embodiment, the livestock owner interface allows the livestock owner to enter individual livestock input data regarding at least one of feeding method, feed type, feeding schedule, medical history, breed, gender, breeding status, age, and body condition. According to one embodiment, the at least one server, memory and processor are configured to process one or more of owner input data, sensor data, and any normalized data to produce a health management plan that includes a customized livestock feedstock recipe that cures the at least one anomaly.

“According to another aspect, a method for manufacturing a customized feed for at least one livestock animal is provided. The method includes the step of obtaining real-time livestock sensor data from at least one sensor located on or around one or more livestock. The data includes at least one of livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH. The method further includes the step of analyzing, by processor, the real-time livestock sensor data upon receipt from the at least one sensor to detect at least one anomaly in the livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH. Any one or more health-related anomalies may be analyzed and detected and stored in the system provided herein. The method further includes the step of generating a customized livestock health management plan that includes one or more recommended nutritional changes for the livestock in the form of a customized feedstock recipe. The recipe is particularly suited and customized to cure the at least one detected anomaly. The method further includes the step of transmitting the livestock health management plan wirelessly to at least one livestock owner interface as provided herein. Upon transmission to the livestock owner interface, the livestock owner confirms acceptance of the plan. Upon confirmation of acceptance of the livestock health management plan, a wireless signal is sent to a feedstock producer including instructions to manufacture the customized feedstock recipe for the livestock owner. The method further includes the step of manufacturing the customized livestock feed according to the customized livestock feed recipe. According to a particular embodiment, the method further includes the step of shipping the customized livestock feed to the livestock owner.

“These and other features and advantages of the present disclosure will be further understood and appreciated by those skilled in the art by reference to the following specification, claims and appended drawings.”

The claims supplied by the inventors are:

“1. A method of managing livestock health in real-time, the method comprising obtaining real-time livestock sensor data from at least one sensor located on or around one or more livestock, the data comprising at least one of livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH; analyzing, by processor, the real-time livestock sensor data to detect at least one anomaly in the livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH; and generating a customized livestock health management plan.

“2. The method of claim 1, wherein the livestock health management plan includes a customized feedstock recipe adapted to cure the at least one detected anomaly upon being fed to the livestock.

“3. The method of claim 2, wherein the customized feedstock recipe includes a change in protein, vitamin, mineral or caloric intake to correct the anomaly.

“4. The method of claim 1, further comprising the steps of: transmitting the livestock health management plan wirelessly to at least one livestock owner interface; and confirming or denying acceptance of the livestock health management plan by the livestock owner.

“5. The method of claim 4, wherein upon confirmation of acceptance of the livestock health management plan, a wireless signal is sent to a feedstock producer including instructions to manufacture the customized feedstock recipe for the livestock owner.

“6. The method of claim 4, wherein the livestock owner interface includes a livestock owner portal.

“7. The method of claim 6, wherein the livestock owner interface is a laptop or smart device.

“8. The method of claim 1, wherein the livestock sensor data is obtained from a plurality of sensors located on a plurality of livestock and the customized feedstock recipe may be fed to the plurality of livestock.

“9. The method of claim 1, wherein the livestock sensor data is obtained from at least one sensor on or around an individual livestock animal and the customized feedstock recipe may be fed to the individual livestock animal.

“10. The method of claim 9, wherein the at least one livestock sensor transmits a particular code associated with an individual livestock animal.

“11. The method of claim 1, wherein the health management plan further includes at least one livestock medical diagnosis and, optionally, at least one prescribed medicament.

“12. A system for livestock health management comprising: at least one server; at least one livestock owner interface including a data entry system, the livestock owner interface in wireless communication with a gateway and the at least one server; at least one livestock sensor, the livestock sensor coupled to a gateway that is in wireless communication with the at least one server; a livestock feed producer interface including a data entry system, the livestock manufacturer interface in wireless communication with the at least one server and livestock feed manufacturing equipment; and a memory and processor in wireless communication with the server, livestock owner interface, at least one livestock sensor and livestock producer interface, the memory and processor configured to perform the steps of: obtaining real-time livestock sensor data from at least one sensor located on or around one or more livestock, the data comprising at least one of livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH; analyzing the real-time livestock sensor data to detect at least one anomaly in the livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH; and generating a customized livestock health management plan that includes a tailored feedstock recipe adapted to cure the at least one detected anomaly upon being fed to the livestock.

“13. The system of claim 12, wherein the memory and processor are configured to perform the additional step of transmitting the livestock health management plan wirelessly to at least one livestock owner interface.

“14. The system of claim 12, further comprising at least one livestock scale, the livestock scale coupled to a gateway that is in wireless communication with the at least one server, memory and processor.

“15. The system of claim 12, further comprising at least one database coupled to or in wireless communication with a gateway that is in wireless communication with the at least one server, memory and processor.

“16. The system of claim 12, wherein the livestock owner interface allows the livestock owner to enter individual livestock input data regarding at least one of feeding method, feed type, feeding schedule, medical history, breed, gender, breeding status, age, and body condition.

“17. The system of claim 12, wherein the at least one server, memory and processor are configured to process one or more of owner input data, sensor data, and any normalized data to produce a health management plan that includes a customized livestock feedstock recipe that cures the at least one anomaly.

“18. A method for manufacturing a customized feed for at least one livestock animal, the method comprising the steps of: obtaining real-time livestock sensor data from at least one sensor located on or around one or more livestock, the data comprising at least one of livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH; analyzing, by processor, the real-time livestock sensor data to detect at least one anomaly in the livestock weight, livestock activity level, livestock ammonia level, body temperature, body weight, water intake, or body pH; and generating a customized livestock health management plan that includes a tailored feedstock recipe adapted to cure the at least one detected anomaly upon being fed to the livestock.

“19. The method of claim 18, further comprising the steps of: transmitting the livestock health management plan wirelessly to at least one livestock owner interface; and confirming acceptance of the livestock health management plan by the livestock owner;

“20. The method of 19, further comprising the steps of: transmitting the confirmed livestock health management plan from the livestock owner to a feedstock producer; manufacturing the customized livestock feed according to the customized livestock feed recipe; and shipping the customized livestock feed to the livestock owner.”

URL and more information on this patent application, see: Moreno, Andres Felipe Posada; Mejia, Daniel Jimenez. Method And System For Real-Time Livestock Management. Filed October 14, 2020 and posted February 4, 2021. Patent URL: http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220210029971%22.PGNR.&OS=DN/20210029971&RS=DN/20210029971

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