干旱区生态环境知识资源中心(Arid): UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review

Arid

DOI	10.1007/s13762-021-03801-5
	UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: a meta-review
	Awais, M.; Li, W.; Cheema, M. J. M.; Zaman, Q. U.; Shaheen, A.; Aslam, B.; Zhu, W.; Ajmal, M.; Faheem, M.; Hussain, S.; Nadeem, A. A.; Afzal, M. M.; Liu, C.
通讯作者	Li, W (corresponding author)，Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Jiangsu, Peoples R China.
来源期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
ISSN	1735-1472
EISSN	1735-2630
出版年	2022-01
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.
英文关键词	Unmanned aerial vehicle (UAV) Crop water stress index Precision agriculture Vegetation index Image processing Intelligent irrigation
类型	Review ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000739278200004
WOS关键词	CROP-WATER STATUS ; LEAF-AREA INDEX ; CANOPY TEMPERATURE ; IRRIGATION MANAGEMENT ; CHLOROPHYLL CONTENT ; VISIBLE IMAGERY ; USE EFFICIENCY ; VEGETATION ; DEFICIT ; YIELD
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377180
作者单位	[Awais, M.; Li, W.; Liu, C.] Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Jiangsu, Peoples R China; [Cheema, M. J. M.; Zaman, Q. U.] PMAS Arid Agr Univ, Fac Agr Engn & Technol, Rawalpindi 46000, Pakistan; [Cheema, M. J. M.] PMAS Arid Agr Univ, NCIB Project, Rawalpindi, Pakistan; [Zaman, Q. U.] Dalhousie Univ, Dept Engn, Agr Campus, Truro, NS B2N 5E3, Canada; [Shaheen, A.] Univ Sargodha, Dept Earth Sci, Sargodha 40100, Pakistan; [Aslam, B.] Qingdao Univ, Sch Business, Qingdao 266071, Peoples R China; [Awais, M.; Zhu, W.; Ajmal, M.; Faheem, M.] Jiangsu Univ, Sch Agr Equipment Engn, Zhenjiang 212013, Jiangsu, Peoples R China; [Faheem, M.] Univ Agr Faisalabad, Dept Farm Machinery & Power, Faisalabad 38000, Pakistan; [Hussain, S.] King Abd Ul Aziz Univ, Dept Hydrol & Water Resources, Jeddah, Saudi Arabia; [Nadeem, A. A.] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China; [Afzal, M. M.] Univ Chinese Acad Sci, Inst Geog Sci, Key Lab Eco...
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],2022.
APA	Awais, M..,Li, W..,Cheema, M. J. M..,Zaman, Q. U..,Shaheen, A..,...&Liu, C..(2022).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.
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 (2022).