首页|Data from Anna University Provide New Insights into Machine Learning (Effective Monitoring of Noyyal River Surface Water Quality Using Remote Sensing and Machin e Learning and Gis Techniques)
Data from Anna University Provide New Insights into Machine Learning (Effective Monitoring of Noyyal River Surface Water Quality Using Remote Sensing and Machin e Learning and Gis Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Tamil Nadu, In dia, by NewsRx editors, research stated, "This study utilizes Geographic Informa tion System (GIS) and remote sensing techniques to predict water quality metrics in the Noyyal River. Satellite data is employed to construct statistical models,with preprocessing involving adjustments from Landsat 8 images." Our news journalists obtained a quote from the research from Anna University, "T he hybrid LASSO model demonstrates superior performance in predicting water qual ity parameters, supported by key performance metrics such as RMSE, R-squared, an d ANOVA results. The study focuses on assessing the suitability of the hybrid LA SSO model for predicting the Water Quality Index (WQI) in the Noyyal region, hig hlighting its ability to handle high-dimensional data and provide interpretable results. Prediction models employing the LASSO approach yield promising results, with Rsquared values exceeding 0.87 for temperature and pH. Incorporating spect ral indices significantly enhances model performance, with an average R-squared of 0.8. These models offer cost-effective options for monitoring water quality, revealing poor conditions in the Noyyal River and projecting deterioration for 2 023."
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningRemote SensingAnna University
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