1. Machine learning algorithms in predicting soil moisture content in intercropping systems under reduced tillage in a clay soil in semi-arid Zimbabwe

Integration of legumes into maize-based cropping systems is advocated as a means to increase on-farm productivity in smallholder farming systems. However, in semi-arid areas of southern Zimbabwe soil water availability remains one of the major challenges to smallholder crop production. Although bio-physical models have been used in simulating soil water dynamics, results have been varied and incorporating machine learning (ML) algorithms can complement deterministic modelling tools in predicting... E. Masvaya