Kenyan Startup FarmDrive Uses Data Analytics to Connect Unbanked Farmers to Financial S... - 0 views
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In its next phase of algorithm development, FarmDrive seeks to expand the environmental arm of the algorithm by incorporating more alternative data-sets, including satellite imagery and remote sensing data. They are currently engaging with Planet, a satellite company from Silicone Valley, and The Impact Lab, a Chicago-based data analytics firm to analyze the possibilities of using satellite images in predicting a farmer’s creditworthiness.In addition, FarmDrive also plans to use these environmental data-sets, in combination with crop cycle data to predict seasonal yield and influence agricultural insurance products.The startup also uses machine learning in generating the farmer’s profile by learning from the farmer’s input. Data points about the farmer’s behaviour, education level, and their interaction with the app are all analyzed to contribute to the farmers profile score.
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hibaerrai on 13 Feb 21FarmDrive employs different advanced methods to predict a client's creditworthiness. They also conduct psychometric tests to figure out their clients' characters. This makes the process professional and the customer base monitored.
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Smallholder farmers, especially in Kenya face difficulties when it comes to accessing loans and financing from banks and other financial institutions. The agricultural sector is the backbone to Kenya’s economy, yet banks have very little incentive to work with farmers.
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FarmDrive founded in 2014 has built an innovative solution that provides “detailed risk profiles of smallholder farmers to financial institutions”. FarmDrive does this through a credit score, generated by an algorithm developed by the team, in-house. The algorithm relies on data-sets collected from the farmers through their mobile phones, alternative data and machine learning.