首页|Nanjing Agricultural University Reports Findings in Machine Learning (Machine learning-based estimation and mitigation of nitric oxide emissions from Chinese vegetable fields)
Nanjing Agricultural University Reports Findings in Machine Learning (Machine learning-based estimation and mitigation of nitric oxide emissions from Chinese vegetable fields)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “High fertilizerinput and nitric oxide (NO) emissions characterize the intensive vegetable production system. However, theamount, geographic distribution, and effective mitigation strategies of NO emissions over Chinese vegetablefields remain largely uncertain.”
JiangsuPeople’s Republic of ChinaAsiaChemicalsCyborgsEmerging TechnologiesMachine LearningNitric OxideNitrogen OxidesReactive Nitrogen Species
NETL
NSTL
