首页|Tsinghua University Details Findings in Machine Learning (Estimating Distributed Autumn Irrigation Water Use In a Large Irrigation District By Combining Machine Learning With Water Balance Models)
Tsinghua University Details Findings in Machine Learning (Estimating Distributed Autumn Irrigation Water Use In a Large Irrigation District By Combining Machine Learning With Water Balance Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Autumn irrigation (AI)after crop harvesting is vital for agricultural production in cold arid regions, typically requiring more waterthan regular irrigation during crop growth phases. Underst anding distributed AI water use (AIWU) is keyto optimizing irrigation strategie s and refining agro-hydrological simulations.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTsinghua University
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