首页|Huazhong University of Science and Technology Reports Findings in Machine Learni ng (Contribution assessment and accumulation prediction of heavy metals in wheat grain in a smelting-affected area using machine learning methods)
Huazhong University of Science and Technology Reports Findings in Machine Learni ng (Contribution assessment and accumulation prediction of heavy metals in wheat grain in a smelting-affected area using machine learning methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Wuhan, People’s Republ ic of China, by NewsRx correspondents, research stated, “Dueto the diverse cont rolling factors and their uneven spatial distribution, especially atmospheric de positionfrom smelters, assessing and predicting the accumulation of heavy metal s (HM) in crops across smeltingaffectedareas becomes challenging. In this stud y, integrating HM influx from atmospheric deposition, aboosted regression tree model with an average R> 0.8 was obtained to predict acc umulation of Pb, As,and Cd in wheat grain across a smelting region.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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