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1. (WO2018223102) ADAPTIVE LIVESTOCK GROWTH MODELING USING MACHINE LEARNING APPROACHES TO PREDICT GROWTH AND RECOMMEND LIVESTOCK MANAGEMENT OPERATIONS AND ACTIVITIES

Pub. No.:    WO/2018/223102    International Application No.:    PCT/US2018/035757
Publication Date: Fri Dec 07 00:59:59 CET 2018 International Filing Date: Sun Jun 03 01:59:59 CEST 2018
IPC: G01G 17/08
A01K 29/00
G06F 19/00
Applicants: PERFORMANCE LIVESTOCK ANALYTICS, INC.
Inventors: KUPER, Dane
BALSLEY, Dustin
BLAIR, Thomas
Title: ADAPTIVE LIVESTOCK GROWTH MODELING USING MACHINE LEARNING APPROACHES TO PREDICT GROWTH AND RECOMMEND LIVESTOCK MANAGEMENT OPERATIONS AND ACTIVITIES
Abstract:
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.