Small Scale Crop Mapping Using Artificial Intelligence (AI)/Machine Learning (ML)

A KSA project evaluation team visited 5 public universities (University of Nairobi, Jomo Kenyatta University of Agriculture and Technology, Dedan Kimathi University of Technology, Egerton University and Taita Taveta University) in March 2022 to assess progress of project implementation for development of Small-Scale Crop Mapping Application. The universities won KSA Research Grant awards of Kshs 500,000 each in November 2021 to develop the applications using Google Earth Engine and incorporating Artificial Intelligence (AI) and Machine Learning (ML).

The project aims to promote and build capacity in the use of AI/ML algorithms together with satellite data to generate agricultural products that can be used by the stakeholders in the agricultural sector to improve food production in the country especially for small holder farms.

The deliverables for the project include developing Artificial Intelligence and Machine Learning algorithms (AI/ML) for characterizing and classifying small scale crop types, estimating crop surface coverage and yield prediction.