机译:基于稳健的基于高光谱视觉的多季节杂草制图分类
Department of Biological and Agricultural Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States;
Department of Biological and Agricultural Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States;
Department of Biological and Agricultural Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States;
computer vision; plant recognition; machine learning; multiclassifier system; weed control; seasonal variability;
机译:基于树模型的多季节NDVI在不同热带落叶生态系统中的生态气候植被分类和模糊映射
机译:甜菜中基于视觉和人工杂草定位的比较
机译:有效的基于视觉的分类方法,用于甜菜和杂草的分离,用于精准农业
机译:在加工番茄中进行高光谱成像的强大杂草映射系统的开发
机译:基于高光谱视觉的机器学习在杂草控制中的鲁棒植物识别
机译:香附子克隆和形态相似杂草的高光谱分类
机译:评估基于视觉的杂草和水果检测与分类算法的贝叶斯框架
机译:JERs-1亚马逊多季节制图研究(Jamms):科学目标及对未来任务的启示