首页|University of Nottingham Researcher Details Research in Machine Learning (Integr ating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms E nhances the Prediction of Grapevine Yield and Berry Composition)
University of Nottingham Researcher Details Research in Machine Learning (Integr ating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms E nhances the Prediction of Grapevine Yield and Berry Composition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on artificial intelligence have bee n presented. According to news reporting fromLoughborough, United Kingdom, by N ewsRx journalists, research stated, “Accurately predicting grapevineyield and q uality is critical for optimising vineyard management and ensuring economic viab ility. Numerousstudies have reported the complexity in modelling grapevine yiel d and quality due to variability in thecanopy structure, challenges in incorpor ating soil and microclimatic factors, and management practicesthroughout the gr owing season. The use of multimodal data and machine learning (ML) algorithms could overcome these challenges.”
University of NottinghamLoughboroughUnited KingdomEuropeAlgorithmsCyborgsEmerging TechnologiesMachine Lear ning
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