ArticleJournal of animal science2025
Adaptive high-distance RGB imaging for accurate dairy cow feed intake estimation.
Xiaoning Niu, Liyong Zhou, Yongxing Du, Weijian Hu, Yi Zhang, Lingfang Li, Minchao Li
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In one paragraphArticle in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 · Who and what moneyAuthors and funding
7 authors.
Xiaoning NiuPrairie Animal Husbandry Artificial Intelligence Engineering Research Center of Inner Mongolia Autonomous Region, School of Digital Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China.ORCID 0009-0007-9503-229X Liyong ZhouPrairie Animal Husbandry Artificial Intelligence Engineering Research Center of Inner Mongolia Autonomous Region, School of Digital Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China.
Yongxing DuPrairie Animal Husbandry Artificial Intelligence Engineering Research Center of Inner Mongolia Autonomous Region, School of Digital Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China.
Weijian HuPrairie Animal Husbandry Artificial Intelligence Engineering Research Center of Inner Mongolia Autonomous Region, School of Digital Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China.
Yi ZhangState Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.ORCID 0000-0003-1642-5890 Lingfang LiPrairie Animal Husbandry Artificial Intelligence Engineering Research Center of Inner Mongolia Autonomous Region, School of Digital Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China.
Minchao LiPrairie Animal Husbandry Artificial Intelligence Engineering Research Center of Inner Mongolia Autonomous Region, School of Digital Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China.
Funding
Central Guidance Fund for Local Science and Technology Development of China 2024ZY0084Inner Mongolia Autonomous Region Key Research and Development and Achievement Transformation ProgramNatural Science Foundation of Inner Mongolia Autonomous Region 2024QN06017Natural Science Foundation of Inner Mongolia Autonomous Region 2025MS06022Natural Science Foundation of Inner Mongolia Autonomous Region CARS36Science and Technology Major Project of Inner Mongolia 2019ZD025Special Fund for Basic Scientific Research Operations in Inner Mongolia Universities 2023XKJX019Special Fund for Basic Scientific Research Operations in Inner Mongolia Universities 2023XKJX023Special Fund for Basic Scientific Research Operations in Inner Mongolia Universities 2023XKJX024
6 · The paper itselfAbstract
This study proposes a method for estimating the total feeding amount in the feeding area of dairy cows based on Red-Green-Blue (RGB) images, with the aim of providing ranch management with a cost-effective and efficient intelligent measurement solution. The method utilizes a stereo camera mounted at a height of 2.95 m to capture RGB images of different feed piles, constructing a dedicated differential image dataset. In order to effectively exclude the interference of background factors in the feeding scene, we used the U2-Net network to segment these images. Furthermore, we innovatively integrate the self-attention mechanism and multiscale fusion techniques with ResNet, designing and implementing a deep learning model for estimating the total feeding amount within the camera's field of view. The experimental results show that, within the 0 to 10 kg range, the proposed method achieves the mean absolute error of 0.3487 kg and the root-mean-squared error of 0.4456 kg, outperforming commonly used methods in real-world scenarios.
Indexed as
DairyingEatingImage Processing, Computer-AssistedAnimal FeedAnimalsCattleFemaledairy cow feeding amount estimationmultiscale fusionranch managementResNetself-attention mechanism
Identifiers
PMID40972117
PMCPMC12501609
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