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To enhance agricultural productivity and sustainability in Kenya we need to deploying artificial intelligence technologies that optimize farming practices, improve yield forecasts, and increase market accessibility for smallholder farmers. To learn more about AI Technologies click on the image
3 Applications of AI in Agriculture.
Applications of Artificial Intelligence (AI) and Machine Learning (ML) in Agriculture.
5 Uses of AI in Agriculture! - 5 Mins 5 Ideas.
Applications of Remote Sensing in Precision Farming
Applications of Artificial Intelligence (AI) and Machine Learning (ML) in Agriculture.
Case Studies and Success Stories
SunCulture Solar: SunCulture Solar is a company based in Kenya that is using AI to design and manufacture affordable, easy-to-install and use solar-powered water pumps for small-scale farmers. SunCulture Solar’s goal is to reduce the cost and labor associated with pump-dependent irrigation practices, and to improve efficiency and productivity for Kenya’s small-scale farmers.
Gro Intelligence: Gro Intelligence is a data-driven tech company focused on agriculture that provides farmers with real-time, personalized, data-driven advice on how to optimize their agricultural performance. Its AI-backed platform allows farmers to use data points such as temperature, soil moisture, disease and pest risk, soil fertility, and weather models to make informed cropping decisions.