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)

Robotics & Machine Learning Daily News2024，Issue(Apr.5) ：52-53.

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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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Abstract

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.”

Key words

Cairo/Egypt/Africa/Cybersecurity/Cyb orgs/Emerging Technologies/Machine Learning/International Centre for Agricult ural Research in the Dry Areas (ICARDA)

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2024

Robotics & Machine Learning Daily News

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