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| Filter results3 paper(s) found. |
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1. The Future of Farming: Bringing Biophotonics and Machine Learning to Revolutionize AgricultureThe future of farming is set to be revolutionized by biophotonics and machine learning. Biophotonics is the study of the interaction of light and living matter, and machine learning is a form of artificial intelligence that allows computers to learn from data. Together, these two technologies will allow for more precise and efficient farming, as well as greater yields and less wastage. Biophotonics will allow for more precise targeting of crops with pesticides and herbicides, as well as more efficient... S. Ndlovu |
2. Rainwater Harvesting and Nutrient Intensification in Maize-Legume Farming Systems in Semi-Arid ZimbabweAgricultural productivity in Zimbabwe is declining mainly due to climate change and inherently poor soil fertility. The situation is worsened by the high cost of fertilizers beyond the reach of many smallholder farmers. In response to these challenges, most smallholder farmers are implementing either rainwater harvesting (RWH) or integrated soil fertility management (ISFM). This study sought to investigate the role of integrating the tied-contour RWH (TC-RWH) technique and ISFM on soil moisture,... E. Mutsamba-magwaza, D. Nyamayevu, G. Nyamadzawo, R. Mandumbu, I. Nyagumbo |
3. Real-Time Moisture Control in Irrigation Systems for Water Use Efficiency and Climate Change Resilience. A ReviewDue to the increasing water scarcity and uncertainties of climate change, improving crop water use efficiency and productivity, at the same time minimizing detrimental effects on the environment to meet the world's rising food demand. Thus, is necessary to adopt innovative irrigation strategies, such as drip irrigation. Smart irrigation has a potential of improving water use efficiency in precision agriculture. Conventionally, irrigation systems rely on heuristic methods in order to schedule... D. Kindikiza |