首页|Central South University Reports Findings in Machine Learning (Development and A pplication of Machine Learning Models for Prediction of Soil Available Cadmium B ased on Soil Properties and Climate Features)
Central South University Reports Findings in Machine Learning (Development and A pplication of Machine Learning Models for Prediction of Soil Available Cadmium B ased on Soil Properties and Climate Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Changsha, Peop le's Republic of China, by NewsRx journalists, research stated, "Identifying the key influencing factors in soil available cadmium (Cd) is crucial for preventin g the Cd accumulation in the food chain. However, current experimental methods a nd traditional prediction models for assessing available Cd are time-consuming a nd ineffective." The news reporters obtained a quote from the research from Central South Univers ity, "In this study, machine learning (ML) models were developed to investigate the intricate interactions among soil properties, climate features, and availabl e Cd, aiming to identify the key influencing factors. The optimal model was obta ined through a combination of stratified sampling, Bayesian optimization, and 10 -fold cross-validation. It was further explained through the utilization of perm utation feature importance, 2D partial dependence plot, and 3D interaction plot. The findings revealed that pH, surface pressure, sensible heat net flux and org anic matter content significantly influenced the Cd accumulation in the soil. By utilizing historical soil surveys and climate change data from China, this stud y predicted the spatial distribution trend of available Cd in the Chinese region , highlighting the primary areas with heightened Cd activity. These areas were p rimarily located in the eastern, southern, central, and northeastern China. This study introduces a novel methodology for comprehending the process of available Cd accumulation in soil."
ChangshaPeople's Republic of ChinaAs iaCadmiumCyborgsEmerging TechnologiesMachine LearningTransition Elemen ts
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