研究论文
C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming
Yongliang Qiao, Yangyang Guo, Keping Yu, Dongjian He
The University of Sydney Northwest A&F University Global Information and Telecommunication Institute, Waseda University
来源Computers and Electronics in Agriculture
年份2022
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF,后续可基于全文生成更完整的速读。
逐年被引趋势
27140
22
23
24
2725
26
关键指标
86
被引次数 · OpenAlex
9.36
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
45
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:文献信息
论文问答
当前基于文献信息回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Smart Agriculture and AI
Human Pose and Action Recognition · Animal Behavior and Welfare Studies
参考文献 45
Cow Talk: Understanding Dairy Cow Behaviour to Improve Their Welfare on Asian Farms
被引 21John Moran, Rebecca Doyle · 2015
How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior
被引 60Tucker R. Balch, Frank Dellaert, A. Feldman · Proceedings of the IEEE · 2006
Rethinking the Inception Architecture for Computer Vision
被引 32,129Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2016
此处列出前 3 条
引用本文 86
Deep learning based computer vision approaches for smart agricultural applications
被引 305V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha · Artificial Intelligence in Agriculture · 2022
Technological revolutions in smart farming: Current trends, challenges & future directions
被引 301Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal · Computers and Electronics in Agriculture · 2022
Cattle body detection based on YOLOv5-ASFF for precision livestock farming
被引 119Yongliang Qiao, Yangyang Guo, Dongjian He · Computers and Electronics in Agriculture · 2022
按被引量排序,此处列出前 3 条