摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx编辑在中国三亚的新闻报道，研究表明：“倒伏是油菜种子生产中的一个巨大挑战，严重影响种子产量和质量。通过无人驾驶飞行器(UAVS)-基于ASED的框架预测倒伏敏感性和种子产量为农业应用提供了广阔的前景。”本研究的资助单位包括国家自然科学基金(NSFC)、海南省自然科学基金、海南大学科学研究基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Sanya, People’s Republic of China, by NewsRx editors, research stated, “Lodging is a great challenge in rape seed production that significantly affects seed yield and quality. Prediction of lodging susceptibility and seed yield through unmanned aerial vehicles (UAVs)-b ased framework offers remarkable prospects for higher applicability in agricultu re.” Funders for this research include National Natural Science Foundation of China ( NSFC), Hainan Provincial Nautral Science Foundation of China, Scientific Researc h Foundation of Hainan University.
NETL
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