首页> Frontiers in plant science> Weed Density Extraction Based on Few-Shot Learning Through UAV Remote Sensing RGB and Multispectral Images in Ecological Irrigation Area.

Weed Density Extraction Based on Few-Shot Learning Through UAV Remote Sensing RGB and Multispectral Images in Ecological Irrigation Area.

导出 LinkOut

翻译打印收藏纠错

第一作者： Shubo,Wang

第一单位： College of Engineering, China Agricultural University, Beijing, China.;Centre for Chemicals Application Technology, College of Science, China Agricultural University, Beijing, China.

作者： Shubo,Wang ^[1] ; Yu,Han ^[2] ; Jian,Chen ^[3] ; Xiongkui,He ^[4] ; Zichao,Zhang ^[5] ; Xuzan,Liu ^[3] ; Kai,Zhang ^[3]

作者单位： College of Engineering, China Agricultural University, Beijing, China.;Centre for Chemicals Application Technology, College of Science, China Agricultural University, Beijing, China. ^[1] State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China.;College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China. ^[2] College of Engineering, China Agricultural University, Beijing, China. ^[3] Centre for Chemicals Application Technology, College of Science, China Agricultural University, Beijing, China. ^[4] College of Engineering, China Agricultural University, Beijing, China.;Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China. ^[5]

关键词 UAV remote sensing bat algorithm bionic optimization convolutional neural network model-agnostic meta-learning multispectral weeds density

DOI 10.3389/fpls.2021.735230

PMID 35399196

发布时间 2023-11-03

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交