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IoT and ML for identification and behavioural analysis in shrimp aquaculture

Abstract Shrimp aquaculture is a major contributor to the global seafood supply, with India playing a key role. However, disease outbreaks and suboptimal farm management continue to cause substantial production losses. This study presents an integrated IoT–machine learning framework for real-time mo...

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Principais autores: Liton Paul, Vinod Kumar Yadav, Tanushree Bhowmik, Vidya Shree Bharti, Arun Sharma, Ashutosh Deo, Arpita Sharma
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2026-04-01
Serier:Discover Sustainability
Fag:
Internet of things (IoT)
Machine learning (ML)
YOLO
Shrimp
Aquaculture
Online adgang:https://doi.org/10.1007/s43621-026-03086-z
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