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- W3151882058 endingPage "736724" @default.
- W3151882058 startingPage "736724" @default.
- W3151882058 abstract "Among the background of developments in automation and intelligence, machine learning technology has been extensively applied in aquaculture in recent years, providing a new opportunity for the realization of digital fishery farming. In the present paper, the machine learning algorithms and techniques adopted in intelligent fish aquaculture in the past five years are expounded, and the application of machine learning in aquaculture is explored in detail, including the information evaluation of fish biomass, the identification and classification of fish, behavioral analysis and prediction of water quality parameters. Further, the application of machine learning algorithms in aquaculture is outlined, and the results are analyzed. Finally, several current problems in aquaculture are highlighted, and the development trend is considered." @default.
- W3151882058 created "2021-04-13" @default.
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- W3151882058 creator A5035730229 @default.
- W3151882058 creator A5071008544 @default.
- W3151882058 creator A5085001507 @default.
- W3151882058 date "2021-07-01" @default.
- W3151882058 modified "2023-10-06" @default.
- W3151882058 title "Application of machine learning in intelligent fish aquaculture: A review" @default.
- W3151882058 cites W1596717185 @default.
- W3151882058 cites W1901616594 @default.
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- W3151882058 cites W1981425595 @default.
- W3151882058 cites W2014273956 @default.
- W3151882058 cites W2022173539 @default.
- W3151882058 cites W2024591926 @default.
- W3151882058 cites W2025568499 @default.
- W3151882058 cites W2037069310 @default.
- W3151882058 cites W2040870580 @default.
- W3151882058 cites W2044523229 @default.
- W3151882058 cites W2047161049 @default.
- W3151882058 cites W2048150867 @default.
- W3151882058 cites W2053731316 @default.
- W3151882058 cites W2059904880 @default.
- W3151882058 cites W2062439858 @default.
- W3151882058 cites W2063422727 @default.
- W3151882058 cites W2084376682 @default.
- W3151882058 cites W2085613249 @default.
- W3151882058 cites W2089468765 @default.
- W3151882058 cites W2096118443 @default.
- W3151882058 cites W2111072639 @default.
- W3151882058 cites W2112199544 @default.
- W3151882058 cites W2118023920 @default.
- W3151882058 cites W2137900839 @default.
- W3151882058 cites W2138178898 @default.
- W3151882058 cites W2145339207 @default.
- W3151882058 cites W2158863190 @default.
- W3151882058 cites W2162698522 @default.
- W3151882058 cites W2163647009 @default.
- W3151882058 cites W2169864249 @default.
- W3151882058 cites W2171033594 @default.
- W3151882058 cites W2186155590 @default.
- W3151882058 cites W2289660828 @default.
- W3151882058 cites W2472213348 @default.
- W3151882058 cites W2472889286 @default.
- W3151882058 cites W2498589235 @default.
- W3151882058 cites W2519132385 @default.
- W3151882058 cites W2522256182 @default.
- W3151882058 cites W2563091109 @default.
- W3151882058 cites W2572655489 @default.
- W3151882058 cites W2589255103 @default.
- W3151882058 cites W2589687845 @default.
- W3151882058 cites W2603699330 @default.
- W3151882058 cites W2617137052 @default.
- W3151882058 cites W2618530766 @default.
- W3151882058 cites W2728026583 @default.
- W3151882058 cites W2728420778 @default.
- W3151882058 cites W2747582412 @default.
- W3151882058 cites W2751646556 @default.
- W3151882058 cites W2774037339 @default.
- W3151882058 cites W2779799900 @default.
- W3151882058 cites W2782329899 @default.
- W3151882058 cites W2782812883 @default.
- W3151882058 cites W2785645041 @default.
- W3151882058 cites W2790639095 @default.
- W3151882058 cites W2791905659 @default.
- W3151882058 cites W2793879976 @default.
- W3151882058 cites W2795250396 @default.
- W3151882058 cites W2796018820 @default.
- W3151882058 cites W2797538836 @default.
- W3151882058 cites W2799416393 @default.
- W3151882058 cites W2799423120 @default.
- W3151882058 cites W2806315586 @default.
- W3151882058 cites W2885097378 @default.
- W3151882058 cites W2885770726 @default.
- W3151882058 cites W2891182582 @default.
- W3151882058 cites W2897654901 @default.
- W3151882058 cites W2909334078 @default.
- W3151882058 cites W2911964244 @default.
- W3151882058 cites W2915575695 @default.
- W3151882058 cites W2919115771 @default.
- W3151882058 cites W2922223194 @default.
- W3151882058 cites W2937875535 @default.
- W3151882058 cites W2941123315 @default.
- W3151882058 cites W2944299331 @default.
- W3151882058 cites W2952279304 @default.
- W3151882058 cites W2954959100 @default.
- W3151882058 cites W2955212504 @default.
- W3151882058 cites W2957922443 @default.
- W3151882058 cites W2963165400 @default.
- W3151882058 cites W2967802864 @default.
- W3151882058 cites W2969756003 @default.
- W3151882058 cites W2979720982 @default.
- W3151882058 cites W2981482662 @default.
- W3151882058 cites W2982993655 @default.