首页|Researchers from International Centre for Agricultural Research in the Dry Areas (ICARDA) Describe Findings in Machine Learning (Predicting Wheat Yield Gap and Its Determinants Combining Remote Sensing, Machine Learning, and Survey Approach es …)
Researchers from International Centre for Agricultural Research in the Dry Areas (ICARDA) Describe Findings in Machine Learning (Predicting Wheat Yield Gap and Its Determinants Combining Remote Sensing, Machine Learning, and Survey Approach es …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Rabat, Morocco, by NewsRx correspondents, research stated, “Wheat plays a crucial rolein Morocco ‘ s food security, economic stability, and livelihoods of farming communities. Ass essing keyvegetation indices (as yield predictors), along with understanding po tential yield, yield gap, and majordeterminants for this gap at regional and na tional scales, is vital for improving food security with resiliencein variable climatic conditions.”
RabatMoroccoAfricaCyborgsEmergin g TechnologiesMachine LearningRemote SensingInternational Centre for Agric ultural Research in the Dry Areas (ICARDA)
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