Reprint

2nd U.S. Precision Livestock Farming Conference

Edited by
June 2024
212 pages
  • ISBN978-3-7258-1041-3 (Hardback)
  • ISBN978-3-7258-1042-0 (PDF)
https://doi.org/10.3390/books978-3-7258-1042-0 (registering)

Print copies available soon

This book is a reprint of the Special Issue 2nd U.S. Precision Livestock Farming Conference that was published in

Biology & Life Sciences
Summary

This Special Issue presents a collection of 16 articles extracted from the conference proceedings of the 2nd U.S. Precision Livestock Farming Conference in Knoxville, TN, held May 21–24, 2023. These articles cover a broad range of topics, including sensors and sensing in PLF, data management and algorithm development, the measuring, modeling, and managing of dynamic responses, and the societal impacts of PLF. With their diverse subject matter, these articles serve as an invaluable resource for an array of readers, including researchers, extension practitioners, producers, legislators, manufacturers, and beyond. By delving into the latest advancements in precision livestock farming, readers can gain a deeper understanding of emerging trends and foster collaborations that drive progress within the field. We extend our heartfelt appreciation to the authors who have made significant contributions to this Special Issue. 

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
swine; mortality; data-wrangling; forecasting; machine-learning; broiler; feeding time; YOLO; image processing; precision livestock farming; precision livestock ranching; internet of things; long range wide area network; broiler; welfare; mobility; YOLOv5; semi-supervised learning; neo-deep sort; precision supplementation; technology adaptation; beef cattle; precision livestock farming; Q-methodology; stakeholder; pork industry; broiler cooling; climate change; sprinkler; sustainability; water efficiency; animal behavior; beef cattle; drinking time; computer vision; precision livestock farming; precision livestock farming; transparency; philosophy of science; responsible innovation; open science; community epistemic capacity; stakeholder engagement; epistemic justice; pigs; animal welfare; sound camera; behaviour; piglet crushing; virtual fence; conditional behavior; animal tracking; precision livestock farming; GPS location; accelerometer and activity; deep learning; clinical mastitis; automated milking systems; image recognition; clots in milk; precision weighing; beef cattle; precision technology; precision system models; 3D deep learning; PointNet; weight estimation; shoulder lesions; ulcers; sows; deep learning; YOLO; U-Net; methane emission; ammonia emission; modelling; manure; pig house; n/a