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    Innovation Village | Technology, Product Reviews, Business
    You are at:Home»Agriculture»Babban Gona leverages AI, machine learning to enhance farmers’ yields
    babban gona agriculture

    Babban Gona leverages AI, machine learning to enhance farmers’ yields

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    By Tajudeen Adegbenro on July 7, 2021 Agriculture, Agritech, Nigeria

    Babban Gona is using technology to enhance agricultural productivity and said it is leveraging machine learning and Artificial Intelligence to enhance small-scale farmers’ yield per hectare. To achieve this goal of utilizing technology to improve farmers’ yield and profitability, Babban Gona invested in mobile and web-based applications that evade the challenges of limitation to internet access in this area of operation.

    The applications are enhanced to embed offline functionalities that gather and process data without the need for an internet connection and can synchronize when the user is in a location with internet access.

    Masah added that “Beyond the linear increase in efficiency, it is a pragmatic solution which cut across the entire value chain from production stage to the processing and manufacturing phase, storage and distribution until the final product gets to the consumer. “

    “Integration of technology in agriculture has increased our strategic resilience, provided employment for youths, and reduced the impact we have on the environment.

    In 2020 the company’s GPS application mapped more than 50,000 fields members’ fields provide support for more than 18500 women entrepreneurs and more than 38,000 farmers across 36 states of Nigeria.

    Babban Gona said the integration of technology will enable them to support its member harvest of 10 ocean liners worth of grain, a feat that positions the company as the largest producer of maize in West Africa.

    It deploys technology to train its members through effective channels and design that allow them to take proactive climate-smart decisions in the field during the preseason, post-season, and in-season.

    The company is driven by a decade of evidence in using agricultural technology that enables farmers to make tailored decisions which leads to more efficient use of agricultural inputs such as fertilizers. The technology investments have proven to provide the best return on investment for poverty alleviation through the creation of sustainable value chains to allow smallholder farmers to improve their yields and earning twice the national average.

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    Tajudeen Adegbenro

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