ADAPTIVE LIVESTOCK GROWTH MODELING USING MACHINE LEARNING APPROACHES TO PREDICT GROWTH AND RECOMMEND LIVESTOCK MANAGEMENT OPERATIONS AND ACTIVITIES

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专利权人:

PERFORMANCE LIVESTOCK ANALYTICS, INC.

发明人:

KUPER, Dane,BALSLEY, Dustin,BLAIR, Thomas

申请号：

WO2018US35757

公开号：

WO2018223102(A1)

申请日:

2018.06.02

申请国别(地区):

世界知识产权组织国际局

年份:

2018

代理人:

摘要：

A method and system is provided in an adaptive framework for modeling livestock growth. The adaptive framework processes input data relative to livestock growth in an ensemble of one or more models and an artificial intelligence layer configured to select the most appropriate or primary model to optimize, predict, and recommend livestock feed operations based upon environmental, physiological, location and time variables within such input data. The adaptive framework also optimizes workflow by pen and by producer, based upon historical performance, gender and breed and the management practices of the producer.

来源网站：

中国工程科技知识中心

来源网址：

http://www.ckcest.cn/home/