Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - Reviews in …, 2021 - Wiley Online Library
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …
被引用次数：240 相关文章

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - arXiv e …, 2020 - ui.adsabs.harvard.edu
With the rapid emergence of deep learning (DL) technology, it has been successfully used in
various fields including aquaculture. This change can create new opportunities and a series …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - arXiv preprint arXiv …, 2020 - arxiv.org
With the rapid emergence of deep learning (DL) technology, it has been successfully used in
various fields including aquaculture. This change can create new opportunities and a series …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong, C Zhou - Reviews in Aquaculture, 2020 - infona.pl
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …
[PDF] researchgate.net

[PDF][PDF] Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong, C Zhou - researchgate.net
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - Reviews in Aquaculture, 2020 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> The rapid emergence of deep learning (DL)
technology has resulted in its successful use in various fields, including aquaculture. DL …

Deep learning for smart fish farming: applications, opportunities and challenges.

X Yang, S Zhang, J Liu, Q Gao, S Dong, C Zhou - 2021 - cabidigitallibrary.org
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong, C Zhou - Reviews in Aquaculture, 2020 - infona.pl
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao… - Reviews in …, 2021 - ui.adsabs.harvard.edu
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …
[PDF] arxiv.org

[PDF][PDF] Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong, C Zhou - arxiv.org
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …