• Jul 3, 2026 remote sensing of global croplands for food secur uracy especially in heterogeneous landscapes. Advances in machine learning and artificial intelligence further enhance classification accuracy, enabling automated and scalable cropland mapping across diverse regions. Assessing Cropland Productivity and Health Using Remote Sen By Ruthe Oberbrunner
