首页|Data on Machine Learning Detailed by Researchers at Concordia University (Estimating Rainfed Groundnut’s Leaf Area Index Using Sentinel-2 Based On Machine Learn ing Regression Algorithms and Empirical Models)
Data on Machine Learning Detailed by Researchers at Concordia University (Estimating Rainfed Groundnut’s Leaf Area Index Using Sentinel-2 Based On Machine Learn ing Regression Algorithms and Empirical Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Machine Learning is now available. According to news reporting originating from Montreal, Canada, by NewsRx corres pondents, research stated, “The leaf area index (LAI), a crucial biophysical ind icator, is used to assess and monitor crop growth for effective agricultural man agement. This study assessed the LAI at the seedling stage after conducting a field experiment with rainfed groundnut.” Financial support for this research came from School of Agriculture, Food and Wine.
MontrealCanadaNorth and Central AmericaAlgorithmsBiophysicsCyborgsEmerging TechnologiesMachine LearningConcordia University
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