首页|Study Data from Northeastern University Update Understanding of Machine Learning (Mapping vertical distribution of SOC and TN in reclaimed mine soils using point and imaging spectroscopy)
Study Data from Northeastern University Update Understanding of Machine Learning (Mapping vertical distribution of SOC and TN in reclaimed mine soils using point and imaging spectroscopy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news originatingfrom Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Soil organiccarbon (SOC) and total nitrogen (TN) contents in different soil horizons are essential for vegetation growthand crucial indicators to evaluate soil quality in reclaimed mining areas. Compared with conventional wetchemistry methods, soil spectroscopy, including imaging spectroscopy, can be used as a cost and timeefficientsoil analysis technique.”
Northeastern UniversityShenyangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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