Use Of Artificial Intelligence To Improve Agricultural Management Practices, Boost Yield And Market Returns

This document highlights the key findings in the application of Earth Observation Satellite (EOS) image observables, geospatial data layers and Artificial Intelligence algorithms to improve crop management practices, boost yield and increase market return for local farmers. Site suitability analysis was carried out to identify the most suitable site for the cultivation of rice, cassava and cashew using a fuzzy weighted overlay machine learning algorithm. Critical factors including terrain, topography, temperature, precipitation and soil variables were used for analysis. This is necessitated due to the incessant flooding event that occurs in Kogi State, which is now a reoccurring episode, where…

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