Dane T. Kuper,Dustin C. Balsley,Paul Gray,William Justin Sexten
申请号：
US16569503
公开号：
US10628756B1
申请日:
2019.09.12
申请国别(地区):
US
年份:
2020
代理人:
摘要：
An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.
