首页|Findings from Clemson University Broaden Understanding of Machine Learning (Appl ication of Machine Learning Approaches In Supporting Irrigation Decision Making: a Review)
Findings from Clemson University Broaden Understanding of Machine Learning (Appl ication of Machine Learning Approaches In Supporting Irrigation Decision Making: a Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news originatingfrom Clemson, South Carolina, by NewsRx correspondents, research stated, “Irrigation decision-making hasevolved from solely depending on farmers’ decisions taken based on the visual analysis o f field conditions tomaking decisions based on crop water need predictions gene rated using machine learning (ML) techniques.This paper reviews ML related arti cles to discuss how ML has been used to enhance irrigation decisionmaking.”
ClemsonSouth CarolinaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCle mson University
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