首页|Chang’an University Reports Findings in Machine Learning (Reevaluating the Drive rs of Fertilizer-Induced N2O Emission: Insights from Interpretable Machine Learn ing)

Chang’an University Reports Findings in Machine Learning (Reevaluating the Drive rs of Fertilizer-Induced N2O Emission: Insights from Interpretable Machine Learn ing)

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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 newsreporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Direct nitrousoxide (NO) em issions from fertilizer application are the largest anthropogenic source of glob al NO, butthe factors influencing these emissions remain debated. Here, we comp ile 1134 observations of fertilizerinducedNO emission factor (EF) from 229 pub lications, covering various regions and crops globally.”

Xi’anPeople’s Republic of ChinaAsiaAgrochemicalsCyborgsEmerging TechnologiesFertilizersMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.29)