65 Using 3D images and deep learning to predict feeder occupancy in grow-finish pigs
Abstract
A common source of outlying data in automatic feed recording systems used with grow-finish pigs is multiple pig occupancy of a single space feeder. Tracking these events is difficult and may require continuous observation or time-consuming manual decoding of video recordings. An alternative to manual decoding is use of algorithms for automatic image classification. The aim of this work was to build a hierarchical model to classify images from...
Paper Details
Title
65 Using 3D images and deep learning to predict feeder occupancy in grow-finish pigs
Published Date
Jul 1, 2019
Journal
Volume
97
Issue
Supplement_2
Pages
33 - 33
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