HIGHLIGHTS
- What: In recent years, the acceptance of smart aquaculture practices, such as machine_learning and computer vision, has significantly improved efficiency, automation, and accuracy in aquaculture systems.
- Who: Dipak Roy from the Department of Electronics and Communication Engineering, Tezpur UniversityTezpur, Assam, India, have published the paper: Artificial Intelligence-Driven Smart Aquaculture: Revolutionizing Sustainability through Automation and Machine Learning, in the Journal: (JOURNAL)
- How: This is training models on labelled datasets meaning the input data are presented with the right output.
SUMMARY
Such technologies, for example, AI and IoT, are already . . .
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