首页|Research Results from Michigan State University Update Knowledge of Machine Lear ning (Estimation of physico-chemical properties of soil using machine learning)
Research Results from Michigan State University Update Knowledge of Machine Lear ning (Estimation of physico-chemical properties of soil using machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom East Lansing, Michigan , by NewsRx correspondents, research stated, “Alternatives to traditional soilq uality estimation methods, often costly and inaccessible in resource-poor region s, are needed. Thisstudy explored the use of soil images to determine physico-c hemical characteristics of soil samples from two locations in Benue State, North -Central Nigeria: Vandeikya (7.099653°, 8.572102°) and Konshisha(6.783539°, 9.0 69549°).”
Michigan State UniversityEast LansingMichiganUnited StatesNorth and Central AmericaCyborgsEmerging Technolog iesMachine Learning
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