Remote sensing technology has been increasingly applied in agriculture to monitor crop health and productivity across various regions of Africa. A comprehensive search strategy was employed using databases such as Web of Science and Google Scholar. Studies published between and were included. Remote sensing applications have shown significant potential in identifying crop stress, enabling timely interventions to improve yields. The review underscores the utility of remote sensing tools for monitoring crops in Senegal's agricultural landscape. Further research should explore integration with local climate and soil data to enhance predictive models. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Camara et al. (Mon,) studied this question.