Toward digital agricultural mapping in Africa: evidence of Northern Nigeria

The outcomes show that S-2A images are appropriate for mapping maize fields and other land covers when the image is accessible during the growing season and the SVM classifier with a radial basis function (RBF) kernel is superior to a polynomial, linear, and sigmoid kernel functions, and the RF classifiers.