首页|Recent Findings in Machine Learning Described by Researchers from Jilin Agricultural University (Gully Erosion Susceptibility Prediction In Mollisols Using Machine Learning Models)
Recent Findings in Machine Learning Described by Researchers from Jilin Agricultural University (Gully Erosion Susceptibility Prediction In Mollisols Using Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated,“In recent years, gully erosion has caused soil loss, land degradation, and a large sediment yield in theMollisols in northeastern China, threatening agricultural development and national food security. Moreover,the prediction of gully erosion remains a great challenge owing to the difficulty of determining suitableenvironmental indicators and identifying the best models for predicting gully erosion prone areas.”
ChangchunPeople’s Republic of ChinaAsiaCybersecurityCyborgsEmerging TechnologiesMachine LearningJilin Agricultural University
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