首页|Findings on Machine Learning Discussed by Investigators at Indian Council of Agricultural Research (ICAR) Indian Grassland and Fod- der Research Institute (Evaluation of Machine Learning Models for Prediction of Daily Reference Evapotranspiration ...)
Findings on Machine Learning Discussed by Investigators at Indian Council of Agricultural Research (ICAR) Indian Grassland and Fod- der Research Institute (Evaluation of Machine Learning Models for Prediction of Daily Reference Evapotranspiration ...)
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NETL
NSTL
Range Management Soc India
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Jhansi, India, by NewsRx correspondents, research stated, “Reference evapotranspiration (ET0) is controlled by climatic factors; hence, its estimation provides an idea about the atmospheric demand of water. Machine learning techniques like elastic net (ELNET), K-nearest neighbours (KNN), multivariate adaptive regression splines (MARS), partial least squares regression (PSLR), random forest (RF), support vector regression (SVR), XGBoost and cubist were employed to predict daily reference evapotranspiration based on daily weather parameters of twenty years.”
JhansiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningIndian Council of Agricultural Research (ICAR) Indian Grassland and Fodder Research Institute
NETL
NSTL
Range Management Soc India
