摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx编辑在印度瓦拉纳西的新闻报道，研究表明，“陆地表面通量，如土壤湿度E(SM)和土壤温度(ST)，对于许多应用来说是非常重要的变量，包括农业水管理、天气和气候预测、自然灾害等。此外，它们对于了解土壤过程、水文平衡以及微生物种群的变化也很重要。”这项研究的资助者包括Banaras印度教大学杰出研究所，Response。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Varanasi, Indi a, by NewsRx editors, research stated, “Land surface fluxes such as Soil Moistur e (SM) and Soil Temperature (ST) are very important variables for many applicati ons that includes agriculture water management, weather and climate prediction, natural disasters etc. Further, they are important for understanding soil proces ses, hydrological balances as well as changes in microbial population.” Funders for this research include Institute of Eminence, Banaras Hindu Universit y, RESPOND.
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