研究论文
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
Arthur Fernandes, Eduardo Maldonado Turra, Érika Ramos de Alvarenga, Tiago Luciano Passafaro, Fernando Brito Lopes, Gabriel Francisco de Oliveira Alves, Vikas Singh, Guilherme J. M. Rosa
University of Wisconsin–Madison Universidade Federal de Minas Gerais
来源Computers and Electronics in Agriculture
年份2020
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学术脉络
学科主题
物理Water Quality Monitoring Technologies
Fish biology, ecology, and behavior · Fish Ecology and Management Studies
参考文献 25
Morphometric traits as selection criteria for carcass yield and body weight in Nile tilapia (Oreochromis niloticus L.) at five ages
被引 29Arthur Fernandes, Martinho de Almeida Silva, Érika Ramos de Alvarenga · Aquaculture · 2015
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被引 92,248Olaf Ronneberger, Philipp Fischer, Thomas Brox · Lecture notes in computer science · 2015
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被引 284Nicholas D. Lane, Petko Georgiev · 2015
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引用本文 179
Deep learning for smart fish farming: applications, opportunities and challenges
被引 364Xinting Yang, Song Zhang, Jintao Liu · Reviews in Aquaculture · 2020
Application of machine learning in intelligent fish aquaculture: A review
被引 306Shili Zhao, Song Zhang, Jincun Liu · Aquaculture · 2021
Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network
被引 266Xuelong Hu, Yang Liu, Zhengxi Zhao · Computers and Electronics in Agriculture · 2021
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