| Deep learning for smart fish farming: applications, opportunities and challenges Xinting Yang, Song Zhang, Jintao Liu, Qinfeng Gao, Shuanglin Dong, Chao Zhou Reviews in Aquaculture 13 (1), 66-90, 2021 | 304 | 2021 |
| Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network X Hu, Y Liu, Z Zhao, J Liu, X Yang, C Sun, S Chen, B Li, C Zhou Computers and Electronics in Agriculture 185, 106135, 2021 | 214 | 2021 |
| Intelligent feeding control methods in aquaculture with an emphasis on fish: a review C Zhou, D Xu, K Lin, C Sun, X Yang Reviews in Aquaculture 10 (4), 975-993, 2018 | 191 | 2018 |
| Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision C Zhou, D Xu, L Chen, S Zhang, C Sun, X Yang, Y Wang Aquaculture 507, 457-465, 2019 | 190 | 2019 |
| Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture C Zhou, K Lin, D Xu, L Chen, Q Guo, C Sun, X Yang Computers and Electronics in Agriculture 146, 114-124, 2018 | 178 | 2018 |
| Near-infrared imaging to quantify the feeding behavior of fish in aquaculture C Zhou, B Zhang, K Lin, D Xu, C Chen, X Yang, C Sun Computers and Electronics in Agriculture 135, 233-241, 2017 | 144 | 2017 |
| Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos Z Zhao, Y Liu, X Sun, J Liu, X Yang, C Zhou IEEE Transactions on Image Processing 30, 4719-4734, 2021 | 122 | 2021 |
| Automatic Fish Population Counting by Machine Vision and a Hybrid Deep Neural Network Model S Zhang, X Yang, Y Wang, Z Zhao, J Liu, Y Liu, C Sun, C Zhou Animals 10 (2), 364, 2020 | 109 | 2020 |
| Feed intake prediction model for group fish using the MEA-BP neural network in intensive aquaculture L Chen, X Yang, C Sun, Y Wang, D Xu, C Zhou Information Processing in Agriculture 7 (2), 261-271, 2020 | 67 | 2020 |
| Fish school feeding behavior quantification using acoustic signal and improved Swin Transformer Y Zeng, X Yang, L Pan, W Zhu, D Wang, Z Zhao, J Liu, C Sun, C Zhou Computers and Electronics in Agriculture 204, 107580, 2023 | 38 | 2023 |
| Fish feeding intensity quantification using machine vision and a lightweight 3D ResNet-GloRe network S Feng, X Yang, Y Liu, Z Zhao, J Liu, Y Yan, C Zhou Aquacultural Engineering 98, 102244, 2022 | 38 | 2022 |
| An adaptive image enhancement method for a recirculating aquaculture system C Zhou, X Yang, B Zhang, K Lin, D Xu, Q Guo, C Sun Scientific reports 7 (1), 6243, 2017 | 36 | 2017 |
| Anti-counterfeit code for aquatic product identification for traceability and supervision in China CH Sun, WY Li, C Zhou, M Li, ZT Ji, XT Yang Food Control 37, 126-134, 2014 | 35 | 2014 |
| Evaluation of feeding activity of fishes based on image texture C Chen, Y Du, C Zhou, C Sun Transactions of the Chinese Society of Agricultural Engineering 33 (5), 232-237, 2017 | 27 | 2017 |
| Anti-counterfeit system for agricultural product origin labeling based on GPS data and encrypted Chinese-sensible Code C Sun, W Li, C Zhou, M Li, X Yang Computers and electronics in agriculture 92, 82-91, 2013 | 20 | 2013 |
| Three-dimensional location of target fish by monocular infrared imaging sensor based on a L–z correlation model K Lin, C Zhou, D Xu, Q Guo, X Yang, C Sun Infrared Physics & Technology 88, 106-113, 2018 | 18 | 2018 |
| Handling water reflections for computer vision in aquaculture C Zhou, C Sun, K Lin, D Xu, Q Guo, L Chen, X Yang Transactions of the ASABE 61 (2), 469-479, 2018 | 18 | 2018 |
| Nonintrusive and automatic quantitative analysis methods for fish behaviour in aquaculture J Liu, F Bienvenido, X Yang, Z Zhao, S Feng, C Zhou Aquaculture Research 53 (8), 2985-3000, 2022 | 12 | 2022 |
| Image Super-Resolution Reconstruction Using Generative Adversarial Networks Based on Wide-Channel Activation X Sun, Z Zhao, S Zhang, J Liu, X Yang, C Zhou IEEE Access 8, 33838-33854, 2020 | 12 | 2020 |
| Computer vision and feeding behavior based intelligent feeding controller for fish in aquaculture C Zhou, K Lin, D Xu, C Sun, L Chen, S Zhang, Q Guo Computer and Computing Technologies in Agriculture XI: 11th IFIP WG 5.14 …, 2019 | 9 | 2019 |
Xinting YangBeijing Academy of agriculture and forestry scienceVerified email at nercita.org.cn
