Researchers from Stanford University recently developed a deep learning-based system that can predict soybean production from satellite imagery. ��Accurate prediction of crop yields in developing countries in advance of harvest time is central to preventing famine, improving food security, and sustainable development of agriculture,�� the researchers stated in their paper.
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