研究论文
Development of fish spatio-temporal identifying technology using SegNet in aquaculture net cages
S. Abe, Tsutomu Takagi, Shinsuke Torisawa, K. Abe, Hitoshi Habe, Nobukazu Iguchi, Kosei TAKEHARA, Shukei Masuma 等 11 位
Hokkaido University Kindai University Furuno (Japan)
来源Aquacultural Engineering
年份2021
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物理Water Quality Monitoring Technologies
Advanced Neural Network Applications · Smart Agriculture and AI
参考文献 37
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
被引 19,468Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017
Completion of the Pacific bluefin tuna Thunnus orientalis (Temminck et Schlegel) life cycle
被引 276Yoshifumi Sawada, Tokihiko Okada, Shigeru Miyashita · Aquaculture Research · 2005
A dual camera system for counting and sizing Northern Bluefin Tuna (Thunnus thynnus; Linnaeus, 1758) stock, during transfer to aquaculture cages, with a semi automatic Artificial Neural Network tool
被引 86Corrado Costa, Michele Scardi, Vitalini Valerio · Aquaculture · 2009
此处列出前 3 条
引用本文 31
A Review on the Use of Computer Vision and Artificial Intelligence for Fish Recognition, Monitoring, and Management
被引 90Jayme Garcia Arnal Barbedo · Fishes · 2022
Fish feeding intensity quantification using machine vision and a lightweight 3D ResNet-GloRe network
被引 74Shuangxing Feng, Xinting Yang, Yang Liu · Aquacultural Engineering · 2022
Ephemeral gully recognition and accuracy evaluation using deep learning in the hilly and gully region of the Loess Plateau in China
被引 51Boyang Liu, Biao Zhang, Hao Feng · International Soil and Water Conservation Research · 2021
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