Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on artificial intelligence have bee n presented. According to news reporting out of Thiagarajar College of Engineeri ng by NewsRx editors, research stated, “Paddy is a major crop in India which is highly affected by the weather variables resulting in drastic reduction of its y ield; adverse all the variables drastically reduce the paddy yield.” Our news correspondents obtained a quote from the research from Thiagarajar Coll ege of Engineering: “In this research, machine learning model was developed for prediction of paddy yield production by linear regression (LR), random forest re gression (RFR), support vector regression (SVR), cat boost regression (CBR), and hybrid machine learning with variance inflation factor (VIF) LR-VIF, RFR-VIF, S VR-VIF, and CBR-VIF techniques. The dataset consists of variables (weather) for more than 15 years collected for the study area which is Madurai district, Tamil Nadu in India. Analysis was carried out by fixing 70% of data cal ibration & remaining 30% for validation in Jupyter n otebook (Python programming). Results showed that CBR-VIF performed having nRMSE value 1.23 to 1.40% for Madurai South, nRMSE value 0.56 to 1.40% for Melur, nRMSE value 1.10 to 1.25% for Usilampatti, and nRMSE va lue 0.75 to 1.10% for Thirumangalam.”
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