Hands-On Iii: Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges

Jian Tao, Egleu D. M. Mendes,Yalong Pi, Alyssa Cassity, Revanth Reddy Male,Karun Kaniyamattam,Nick Duffield,Luis O. Tedeschi

JOURNAL OF ANIMAL SCIENCE(2023)

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摘要
Abstract Precision livestock farming (PLF) is an emerging field that uses technology to optimize livestock production and management. It involves using sensors, cameras, and other data collection devices to gather information on animal behavior, health, and welfare. A digital twin is a virtual replica of a physical system that can be used for simulation, testing, and optimization. This tutorial will provide an overview of the procedure for creating a PLF digital twin with cameras and sensors. We will discuss the benefits of PLF, the hardware and software components needed, and the steps involved in creating a digital twin. PLF digital twins have a range of potential applications and benefits, including improved livestock health and welfare, increased productivity, and efficiency, and reduced environmental impact. At the end of the tutorial, we will host a roundtable discussion of the potential applications and benefits of PLF digital twins.
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关键词
big data,data analysis,digital twin,machine learning,precision livestock farming,tutorial
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