Abstract
This paper presents a citizen science approach implemented in the Upper Blue Nile (UBN) region of Ethiopia to study the farmers’ perceptions towards adequacy of the quantity of the provided water and the fairness of the irrigation distribution system. The paper also includes preliminary Machine Learning (ML) based results on finding the optimal initial cultivation time in Ethiopia as a means to alleviate heat-induced crop losses in a warmer climate.
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