首页|Researchers from Indian Agricultural Research Institute Report Details of New Studies and Findings in the Area of Machine Learning (Reference Evapotranspiration Prediction Using Machine Learning Models: an Empirical Study From Minimal Climate …)
Researchers from Indian Agricultural Research Institute Report Details of New Studies and Findings in the Area of Machine Learning (Reference Evapotranspiration Prediction Using Machine Learning Models: an Empirical Study From Minimal Climate …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating from New Delhi, India, by NewsRx correspondents, research stated, “The scarcity of climaticdata is the biggest challenge for developing countries, and the development of models for reference evapotranspiration(ET0) estimation with limited datasets is crucial. Therefore, the current investigation assessedthe efficacy of four machine learning (ML) models, namely, linear regression (LR), support vector machine(SVM), random forest (RF), and neural networks (NN), to predict ET0 based on minimal climate data incomparison with the standard FAO-56 Penman-Monteith (PM) method.”
New DelhiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesIndian Agricultural Research Institute
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