2nd U.S. Precision Livestock Farming Conference
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 alg...
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| Format: | Online |
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| Idioma: | anglès |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Accés en línia: | ONIX_20240704_9783725810413_208 |
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| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-139412 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1394122024-07-04T09:51:40Z 2nd U.S. Precision Livestock Farming Conference Zhao, Yang Berckmans, Daniel Gan, Hao Ramirez, Brett Siegford, Janice Wang-Li, Lingjuan Burns, Robert T. 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 welfare mobility YOLOv5 semi-supervised learning neo-deep sort precision supplementation technology adaptation beef cattle Q-methodology stakeholder pork industry broiler cooling climate change sprinkler sustainability water efficiency animal behavior drinking time computer vision 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 GPS location accelerometer and activity deep learning clinical mastitis automated milking systems image recognition clots in milk precision weighing precision technology precision system models 3D deep learning PointNet weight estimation shoulder lesions ulcers sows U-Net methane emission ammonia emission modelling manure pig house n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences 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. 2024-07-04T09:51:33Z 2024-07-04T09:51:33Z 2024 book ONIX_20240704_9783725810413_208 9783725810413 9783725810420 https://directory.doabooks.org/handle/20.500.12854/139412 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9413 https://mdpi.com/books/pdfview/book/9413 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1042-0 10.3390/books978-3-7258-1042-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725810413 9783725810420 212 open access |
| spellingShingle | 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 welfare mobility YOLOv5 semi-supervised learning neo-deep sort precision supplementation technology adaptation beef cattle Q-methodology stakeholder pork industry broiler cooling climate change sprinkler sustainability water efficiency animal behavior drinking time computer vision 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 GPS location accelerometer and activity deep learning clinical mastitis automated milking systems image recognition clots in milk precision weighing precision technology precision system models 3D deep learning PointNet weight estimation shoulder lesions ulcers sows U-Net methane emission ammonia emission modelling manure pig house n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences 2nd U.S. Precision Livestock Farming Conference |
| title | 2nd U.S. Precision Livestock Farming Conference |
| title_full | 2nd U.S. Precision Livestock Farming Conference |
| title_fullStr | 2nd U.S. Precision Livestock Farming Conference |
| title_full_unstemmed | 2nd U.S. Precision Livestock Farming Conference |
| title_short | 2nd U.S. Precision Livestock Farming Conference |
| title_sort | 2nd u s precision livestock farming conference |
| topic | 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 welfare mobility YOLOv5 semi-supervised learning neo-deep sort precision supplementation technology adaptation beef cattle Q-methodology stakeholder pork industry broiler cooling climate change sprinkler sustainability water efficiency animal behavior drinking time computer vision 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 GPS location accelerometer and activity deep learning clinical mastitis automated milking systems image recognition clots in milk precision weighing precision technology precision system models 3D deep learning PointNet weight estimation shoulder lesions ulcers sows U-Net methane emission ammonia emission modelling manure pig house n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences |
| topic_facet | 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 welfare mobility YOLOv5 semi-supervised learning neo-deep sort precision supplementation technology adaptation beef cattle Q-methodology stakeholder pork industry broiler cooling climate change sprinkler sustainability water efficiency animal behavior drinking time computer vision 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 GPS location accelerometer and activity deep learning clinical mastitis automated milking systems image recognition clots in milk precision weighing precision technology precision system models 3D deep learning PointNet weight estimation shoulder lesions ulcers sows U-Net methane emission ammonia emission modelling manure pig house n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences |
| url | ONIX_20240704_9783725810413_208 |