Data for Detecting and Assessing Maize Stress

Assesses the capabilities of Earth observation and machine learning algorithms, specifically Random Forest and Support Vector Machines, in detecting maize disease stress using drone data. The study was conducted on a small-scale farm in Limpopo, South Africa, focusing on healt… Notes / challenges: Fair Forward portfolio. Dataset