中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Identifying Peach Trees in Cultivated Land Using U-Net Algorithm

文献类型：期刊论文

作者Li, Qing1,2; Zhang, Xueyan1
刊名LAND
出版日期2022-07-01
卷号11期号:7页码:15
关键词peach trees non-grain production U-net unmanned aerial vehicle cultivated land land policy
DOI10.3390/land11071078
通讯作者Zhang, Xueyan(xyzhang@igsnrr.ac.cn)
英文摘要Non-grain production has emerged as a potential threat to grain production capacity and security in China. Agricultural products with higher economic returns are beginning to replace traditional grain crops, which have relatively low economic returns on a large scale. In this study, we proposed and verified an identification method utilizing an unmanned aerial vehicle and a U-net algorithm to distinguish peach trees in cultivated land; the overall accuracy for verification and prediction were 0.90 and 0.92, respectively. Additionally, a non-grain production index was developed to assess the degree of non-grain production in target plots. The index was 76.90% and 91.38% in the projected plots, representing a high degree of non-grain production. This combination of an identification method and non-grain production index could provide efficient tools for agricultural management to inspect peach trees in cultivated land, thus replacing field measurements to achieve significant labor savings. Furthermore, this method can provide a reference for creating high-standard farmland, sustainable development of cultivated land, and policymaking.
WOS关键词AGRICULTURE ; CHINA ; EXPANSION ; MODELS
资助项目National Key R&D Program of China[2019YFA0607403] ; National Key R&D Program of China[2021xjkk0903] ; Central Public-interest Scientific Institution Basal Research Fund[Y2020PT05] ; Central Public-interest Scientific Institution Basal Research Fund[BSRF201901] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010302]
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:000832250900001
资助机构National Key R&D Program of China ; Central Public-interest Scientific Institution Basal Research Fund ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/181352]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Xueyan
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Li, Qing,Zhang, Xueyan. Identifying Peach Trees in Cultivated Land Using U-Net Algorithm[J]. LAND,2022,11(7):15.
APA Li, Qing,&Zhang, Xueyan.(2022).Identifying Peach Trees in Cultivated Land Using U-Net Algorithm.LAND,11(7),15.
MLA Li, Qing,et al."Identifying Peach Trees in Cultivated Land Using U-Net Algorithm".LAND 11.7(2022):15.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。