首页|New Machine Learning Study Results Reported from Chungbuk National University [Classification of Garlic (* * Allium sativum* * L.) Crops by Fertilizer Differen ces Using Ground-Based Hyperspectral Imaging System]
New Machine Learning Study Results Reported from Chungbuk National University [Classification of Garlic (* * Allium sativum* * L.) Crops by Fertilizer Differen ces Using Ground-Based Hyperspectral Imaging System]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Chungbuk Natio nal University by NewsRx correspondents, research stated, "In contemporary agric ulture, enhancing the efficient production of crops and optimizing resource util ization have become paramount objectives. Garlic growth and quality are influenc ed by various factors, with fertilizers playing a pivotal role in shaping both a spects." Funders for this research include Korea Institute of Planning And Evaluation For Technology in Food, Agriculture, And Forestry (Ipet) Through The Open Field Sma rt Agriculture Technology Short-term Advancement Program; Ministry of Agricultur e, Food, And Rural Affairs.
Chungbuk National UniversityAgrochemic alsCyborgsEmerging TechnologiesFertilizersMachine Learning
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