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| Filter results2 paper(s) found. |
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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. 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 |