首页|Institute of Agricultural Sciences Reports Findings in Machine Learning (Quantif ication of species composition in grass-clover swards using RGB and multispectra l UAV imagery and machine learning)
Institute of Agricultural Sciences Reports Findings in Machine Learning (Quantif ication of species composition in grass-clover swards using RGB and multispectra l UAV imagery and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Madrid, Spain, by News Rx correspondents, research stated, “Growing grass-legume mixturesfor forage pr oduction improves both yield productivity and nutritional quality, while also be nefitingthe environment by promoting species biodiversity and enhancing soil fe rtility (through nitrogen fixation). Consequently, assessing legume proportions in grass-legume mixed swards is essential for breeding andcultivation.”
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