A Deep Learning Approach to Predict Dissolved Oxygen in Aqua…

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2022
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  • DOI 10.1109/aris56205.2022.9910453
  • OpenAlex ID W4304208397
  • Type Conference-paper
  • Language EN
  • Published 24 Aug 2022
  • Pages 1–6
  • Source International Conference on Advanced Rob…
  • FWCI 8.29
  • Countries 1
  • Institutions 2
  • Added 11 Oct 2022
  • Updated 16 Oct 2026
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A Deep Learning Approach to Predict Dissolved Oxygen in Aquaculture

Conference-paper 2022 EN

Fish is one of the major sources of protein nutrients for people. Most fish supply comes from the natural habitants which include rivers, lakes, seas and oceans. However, the high demand has necessitated fish farming from man-made lakes, ponds and swamps. There are various issues that pose risks to fish survival and growth, and among these include the level of dissolved oxygen (DO) in the water wh…

14

Citations

22

References

2

Authors

8.29

FWCI

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UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
2 authors
#AuthorInstitutionsORCID
1 Simon Peter Khabusi National Taipei University of … (TW)
2 Yo-Ping Huang National Taipei University of … (TW) National Penghu University of … (TW) —

Data: OpenAlex