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1. Machine learning algorithms in predicting soil moisture content in intercropping systems under reduced tillage in a clay soil in semi-arid ZimbabweIntegration 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 |
2. A Synopsis of Water and Nutrient Requirements of Hass Avocado for Uganda and Sub-saharan Africa PractitionersHass avocado production is increasing in Uganda and sub-Saharan Africa (SSA) to tap into the lucrative market especially in Western Europe, China, Japan, and Russia. However, there is limited information about its water and nutrient requirements in end-user-friendly formats especially in Uganda and SSA. We consolidated the scanty information about water and nutrient requirements of Hass avocado and made necessary recalculations and unit conversions to aid meaningful uptake of the information by... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot |
3. An Innovation System for Improving Crop Potato ManagementSmart systems in agriculture has become imperative to overcome future challenges such as population growth and the consequent increase in food demand and the food gap. At the end of 2019, challenges increased, and production almost stopped all over the world due to the Corona pandemic, which posed a great threat to the world's governments to face these challenges for the continuation of life. Hence, smart agriculture has become ideal solutions in the agricultural sector for the continuation... E. Mohamed |