Maize yield prediction and condition monitoring at the sub-county scale in Kenya: synthesis of remote sensing information and crop modeling
Abstract Agricultural production assessments are crucial for formulating strategies for closing yield gaps and enhancing production efficiencies.While in situ crop yield measurements can provide valuable and accurate information, such approaches are costly and lack scalability for large-scale assessments.Therefore, crop modeling and remote sensing