首页|Study Findings on Machine Learning Published by a Researcher at School of Engine ering (Rapid Classification of Sugarcane Nodes and Internodes Using Near-Infrare d Spectroscopy and Machine Learning Techniques)
Study Findings on Machine Learning Published by a Researcher at School of Engine ering (Rapid Classification of Sugarcane Nodes and Internodes Using Near-Infrare d Spectroscopy and Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting from Bangkok, Thailand, by NewsRx journalists, research stated, “Accurate and rapiddiscrimina tion between nodes and internodes in sugarcane is vital for automating planting processes,particularly for minimizing bud damage and optimizing planting materi al quality.”
School of EngineeringBangkokThailandAsiaCyborgsEmerging TechnologiesMachine Learning
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