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    Innovation Village | Technology, Product Reviews, Business
    You are at:Home»Agriculture»Manolin develops machine learning software to improve prediction in aquaculture
    aquaculture

    Manolin develops machine learning software to improve prediction in aquaculture

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    By Tajudeen Adegbenro on April 14, 2021 Agriculture, Agritech, Innovation

    Manolin, a US-based software and data Analytics Company founded in 2018, develops disease detection models to enhance aquaculture sustainability. The company has announced breakthrough progress with its machine learning software which helps to detect the risk of disease on aquaculture farms with a claim of over 93% accuracy.

    Historically, despite the availability of some academic models uses in predicting aquaculture disease, Norwegian farmers rely on visual signs or intuition to make decisions on the farm. Manolin software has a prediction accuracy of over 93% which helps to make better decisions than the old model. This closes the gap between enterprise and research technology which enables farmers to use it in their daily farm operations.

    “Development of new technology is critical to improve the resource efficiency of farming operations and reduce negative impacts on marine wildlife,” says Robert Jones, Global Lead of Aquaculture at The Nature Conservancy.

    Pests and disease treatments are a growing cost and environmental concern

    Aquaculture is the fastest-growing food production sector which provides more than half of worldwide fish consumption. Treatment of pest and disease are a growing cost and treatment environmental concern. Norway spends around $1 billion yearly to fight pancreas disease in its salmon farm. Manolin’s forecasting technology plans to solve disease to help develop a sustainable future food system.

    “COVID-19 showed us that it’s more important than ever to build resilient seafood supply chains. When it’s done well, aquaculture can bring nutrient-rich protein to more communities through one of the least resource-intensive forms of food production,” says Håvard Olsen, owner at third-generation Atlantic salmon farm Kvarøy Arctic. “Manolin is breaking down barriers in data to help us reach this.”

    Manolin’s machine learning software are now available for Norwegian farmers, equipped with millions of data points which include the health status of the country’s 400 million active farmed salmon, more than 50 daily environmental and farm production factors, satellite imagery, oceanographic forecasts, marine sensors, boat traffic, and over two decades of historic data.

    Current customers represent some of the most sustainable and innovative fish farms in the world that provide fish to stores in the US which includes Whole Foods Market (Kvarøy Arctic), Sam’s Club, and Costco.

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    Tajudeen Adegbenro

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