首页|New Machine Learning Findings from International Centre for Agricultural Researc h in the Dry Areas (ICARDA) Discussed (Prediction of Pulse Suitability In Rice F allow Areas Using Fuzzy Ahp-based Machine Learning Methods In Eastern India)
New Machine Learning Findings from International Centre for Agricultural Researc h in the Dry Areas (ICARDA) Discussed (Prediction of Pulse Suitability In Rice F allow Areas Using Fuzzy Ahp-based Machine Learning Methods In Eastern India)
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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 reportingout of Cairo, Egypt, by NewsRx edito rs, research stated, “In Eastern India, a widespread practice knownas ‘rice fal low pulse’ (RFP) involves using the soil’s remaining moisture to grow a short-du ration pulsecrop. For rainfed systems, it is an excellent practice of climate a daptation.”
CairoEgyptAfricaCybersecurityCyb orgsEmerging TechnologiesMachine LearningInternational Centre for Agricult ural Research in the Dry Areas (ICARDA)
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