Fish Vista : Comprehensive Intelligent Fish Farming Assistant and Automation

Is an innovative IoT- and AI-based system developed to transform traditional aquaculture into a smart, efficient, and sustainable process. Conventional fish farming often depends on manual monitoring and human experience, resulting in inefficiencies, higher mortality rates, and resource wastage. FISH VISTA overcomes these challenges through real-time data collection, machine learning, and automation. The system employs IoT sensors to monitor key parameters such as temperature, pH, dissolved oxygen, and ammonia levels, transmitting data to a cloud-based platform for AI-driven analysis. This enables early disease detection, anomaly identification, and optimized feeding schedules. Deep learning–based computer vision techniques analyse fish behaviour and estimate growth and biomass. Automation modules control feeding, aeration, and water filtration through adaptive feedback loops, enhancing operational precision. A user-friendly dashboard allows remote monitoring and management. Edge computing minimizes latency, while cloud integration supports large-scale data analytics and predictive insights. Designed for scalability, FISH VISTA benefits both small and large aquaculture setups by reducing feed waste, improving water quality, and increasing productivity. Overall, the system empowers farmers with intelligent decision-making tools and promotes sustainable fish farming practices that balance technological advancement with environmental responsibility

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-11-09
DOI
https://doi.org/10.48175/ijarsct-29718
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
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article

Fish Vista : Comprehensive Intelligent Fish Farming Assistant and Automation

Daniel Vilas, B. Sunil, Prof. Gadge S. S, Waman Mayuri Devidas
International Journal of Advanced Research in Science Communication and Technology
Water Quality Monitoring Technologies
article

Fish Vista : Comprehensive Intelligent Fish Farming Assistant and Automation

Daniel Vilas, B. Sunil, Prof. Gadge S. S, Waman Mayuri Devidas
article en

Abstract

Is an innovative IoT- and AI-based system developed to transform traditional aquaculture into a smart, efficient, and sustainable process. Conventional fish farming often depends on manual monitoring and human experience, resulting in inefficiencies, higher mortality rates, and resource wastage. FISH VISTA overcomes these challenges through real-time data collection, machine learning, and automation. The system employs IoT sensors to monitor key parameters such as temperature, pH, dissolved oxygen, and ammonia levels, transmitting data to a cloud-based platform for AI-driven analysis. This enables early disease detection, anomaly identification, and optimized feeding schedules. Deep learning–based computer vision techniques analyse fish behaviour and estimate growth and biomass. Automation modules control feeding, aeration, and water filtration through adaptive feedback loops, enhancing operational precision. A user-friendly dashboard allows remote monitoring and management. Edge computing minimizes latency, while cloud integration supports large-scale data analytics and predictive insights. Designed for scalability, FISH VISTA benefits both small and large aquaculture setups by reducing feed waste, improving water quality, and increasing productivity. Overall, the system empowers farmers with intelligent decision-making tools and promotes sustainable fish farming practices that balance technological advancement with environmental responsibility

International Journal of Advanced Research in Science Communication and Technology
John D. and Catherine T. MacArthur Foundation (US)
Openalex Percentile: Top 69%
Water Quality Monitoring Technologies
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