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

DOI Web Site Web Site Web Site 被引用文献1件
  • Xinting Yang
    Beijing Research Center for Information Technology in Agriculture Beijing China
  • Song Zhang
    Beijing Research Center for Information Technology in Agriculture Beijing China
  • Jintao Liu
    Beijing Research Center for Information Technology in Agriculture Beijing China
  • Qinfeng Gao
    Key Laboratory of Mariculture Ministry of Education Ocean University of China Qingdao Shandong Province China
  • Shuanglin Dong
    Key Laboratory of Mariculture Ministry of Education Ocean University of China Qingdao Shandong Province China
  • Chao Zhou
    Beijing Research Center for Information Technology in Agriculture Beijing China

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 creates both new opportunities and a series of challenges for information and data processing in smart fish farming. This paper focuses on applications of DL in aquaculture, including live fish identification, species classification, behavioural analysis, feeding decisions, size or biomass estimation, and water quality prediction. The technical details of DL methods applied to smart fish farming are also analysed, including data, algorithms and performance. The review results show that the most significant contribution of DL is its ability to automatically extract features. However, challenges still exist; DL is still in a weak artificial intelligence stage and requires large amounts of labelled data for training, which has become a bottleneck that restricts further DL applications in aquaculture. Nevertheless, DL still offers breakthroughs for addressing complex data in aquaculture. In brief, our purpose is to provide researchers and practitioners with a better understanding of the current state of the art of DL in aquaculture, which can provide strong support for implementing smart fish farming applications.</jats:p>

収録刊行物

被引用文献 (1)*注記

もっと見る

問題の指摘

ページトップへ