UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review
文献类型：期刊论文
| 作者 | Awais, M.; Li, W.; Cheema, M. J. M.; Zaman, Q. U.; Shaheen, A.; Aslam, B.; Zhu, W.; Ajmal, M.; Faheem, M.; Hussain, S. |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
 |
| 出版日期 | 2023 |
| 卷号 | 20期号:1页码:1135-1152 |
| 关键词 | Unmanned aerial vehicle (UAV) Crop water stress index Precision agriculture Vegetation index Image processing Intelligent irrigation |
| DOI | 10.1007/s13762-021-03801-5 |
| 文献子类 | Review |
| 英文摘要 | Water management is becoming a critical issue for sustainable agriculture, especially in the semi-arid region, where problems with water scarcity are rising. More accurate water status recovery in crops is required for precise irrigation through remote sensing technologies. These technologies have a lot of potential in intelligent irrigation because they allow for real-time environmental data collection. Nowadays, digital practices have been used, such as unmanned aerial vehicle (UAV), which plays an essential role in various applications related to crop management. Drones offer an exciting opportunity to track crop fields with high spatial and temporal resolution remote sensing to enhance water stress management in irrigation. Farmers have historically depended on soil moisture measurements and weather conditions to detect crop water status for irrigation scheduling. This review paper summarizes the use of UAV remote sensing data in crops for estimating the water status and gives a detailed summary of the potential capacity of UAV remote sensing for water stress application. The remote sensing techniques help modify agricultural practices to meet this significant challenge by providing repeated information on crop status at different scales and various performances during the season. UAVs successful implementation in water stress estimations depends on UAV features, such as flexibility of use in flight planning, low cost, reliability, autonomy, and capability of timely provision of high-resolution data. UAV with a thermal sensor is considered the most effective technique for detecting water stress using specific indices. Thermal imaging can identify water status variations and crop water stress index (CWSI). This CWSI acquired through UAV thermal sensors imagery can be acceptable for managing real-time irrigation to achieve optimum crop water efficiency. |
| WOS关键词 | CROP-WATER STATUS ; LEAF-AREA INDEX ; CANOPY TEMPERATURE ; IRRIGATION MANAGEMENT ; CHLOROPHYLL CONTENT ; VISIBLE IMAGERY ; USE EFFICIENCY ; VEGETATION ; DEFICIT ; YIELD |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:000739278200004 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200973]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Ajmal, M. 2.[Awais, M. 3.Li, W. 4.Liu, C.] Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Jiangsu, Peoples R China 5.[Cheema, M. J. M. 6.Zaman, Q. U.] PMAS Arid Agr Univ, Fac Agr Engn & Technol, Rawalpindi 46000, Pakistan 7.[Cheema, M. J. M.] PMAS Arid Agr Univ, NCIB Project, Rawalpindi, Pakistan 8.[Zaman, Q. U.] Dalhousie Univ, Dept Engn, Agr Campus, Truro, NS B2N 5E3, Canada 9.[Shaheen, A.] Univ Sargodha, Dept Earth Sci, Sargodha 40100, Pakistan 10.[Aslam, B.] Qingdao Univ, Sch Business, Qingdao 266071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Awais, M.,Li, W.,Cheema, M. J. M.,et al. UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY,2023,20(1):1135-1152. |
| APA | Awais, M..,Li, W..,Cheema, M. J. M..,Zaman, Q. U..,Shaheen, A..,...&Liu, C..(2023).UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review.INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY,20(1),1135-1152. |
| MLA | Awais, M.,et al."UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review".INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 20.1(2023):1135-1152. |
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。