Southwest University Reports Findings in Machine Learning (Identifying heavy met al sources and health risks in soil-vegetable systems of fragmented vegetable fi elds based on machine learning, positive matrix factorization model and Monte Ca rlo ...)

Robotics & Machine Learning Daily News2024，Issue(Aug.23) ：45-46.

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Southwest University Reports Findings in Machine Learning (Identifying heavy met al sources and health risks in soil-vegetable systems of fragmented vegetable fi elds based on machine learning, positive matrix factorization model and Monte Ca rlo ...)

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Abstract

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 newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “Urbanfragmented vegetable fields offer fresh produce but pose a potential risk of heavy metal (HM) exposu re.Thus, this study investigated HM sources and health risks in the soil-vegeta ble systems of Chongqing’scentral urban area.”

Key words

Chongqing/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention

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出版年

2024

Robotics & Machine Learning Daily News

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