摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果将在一份新报告中讨论。根据致《中华人民共和国杨凌》记者的新闻报道，研究表明：“准确地评估根区土壤水分对于精确灌溉至关重要，因为它是一个非常重要的直接影响作物产量。温度-植被指数(Ts-VI)温度空间，结合了地表温度(Ts)和植被指数(VI)是评价根区土壤水分的常用指标在植被丰富的地区。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Yang ling, People’s Republic of China, by NewsRx correspondents,research stated, “Ac curately assessing root-zone soil moisture is crucial for precision irrigation, as itdirectly influences crop yield. The Temperature-Vegetation Index (Ts-VI) F eature Space, which combinesland surface temperature (Ts) and vegetation index (VI), is widely used to evaluate root-zone soil moisturein vegetated areas.”
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