How AI Is Helping This IIT Alumnus Who Has Pledged To Save The Aquaculture In India

#News(AgriTech) [ via IoTGroup ]

Founded in 2017, Aquaconnect is a full-stack aquaculture technology venture that offers data-driven farm advisory solutions and market place solutions to Shrimp and Fish farmers.
They have an AI-powered farm advisor tool FarmMOJO, that is helping farmers to enhance their farm productivity.
Around 2 million rural farmers and coastal communities depend on shrimp & fish aquaculture, where traditional farming practices prevents them in achieving production efficiency and diseases prediction.
Our data-driven marketplace helps aqua farmers to connect with the upstream and downstream supply chain in the aqua industry.
Impact on aqua farmers: AI helps farmers in various aqua farming activities such as decision making, production planning, disease prevention and growth management.
And AI unleashes the real potential of farm data and encourages farmers to practice data-driven farming.
FarmMOJO’s AI helps farmers to reduce 10% feed cost through its feed efficiency model.
Disease prediction and prevention: Implementing AI technologies in aquaculture make possible for aqua farmers to detect diseases well in advance and take preventive measures to secure the animals.
RS: The Fish and shrimp farmers have been facing several problems such as high costs in unscientific farming practice, constant monitoring of water quality, feed intake, identifying anomalies and biomass conversion.
Therefore, a need for the technology that enables AI-driven real-time analysis and promotes sustainable farming to achieve production efficiency, predict diseases and traceability.
To address these challenges we have built AI models that analyse the pond level data continuously such as morby-mass model, pond Health Monitoring model, healthcare management model, growth Prediction Model and feed optimization model.
RS: FarmMOJO, an AI-based mobile farm advisor, record and monitors the real-time production data gathered from the farms through the mobile application interface.

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