Crop water stress detection based on UAV remote sensing systems

Hao Dong; Jiahui Dong; Shikun Sun; Ting Bai; Dongmei Zhao; Yali Yin; Xin Shen; Yakun Wang; Zhitao Zhang; Yubao Wang

Agricultural Water Management (Oct 2024)

Crop water stress detection based on UAV remote sensing systems

Hao Dong,
Jiahui Dong,
Shikun Sun,
Ting Bai,
Dongmei Zhao,
Yali Yin,
Xin Shen,
Yakun Wang,
Zhitao Zhang,
Yubao Wang

Affiliations

Hao Dong: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Jiahui Dong: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Shikun Sun: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China; Correspondence to: No. 23, Weihui Road, Yangling, Shaanxi, China.
Ting Bai: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Dongmei Zhao: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Yali Yin: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Xin Shen: National Agro-Tech Extension and Service Center, Beijing, China
Yakun Wang: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Zhitao Zhang: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China
Yubao Wang: Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; Institute of Water Saving Agriculture in Arid regions of China, Northwest A&F University, Yangling, Shaanxi 712100, China; National Engineering Research Center for Water Saving Irrigation at Yangling, Yangling, Shaanxi 712100, China

Journal volume & issue: Vol. 303
p. 109059

Abstract

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Agricultural water accounts for more than 70 % of the total global water usage, and the scarcity of global freshwater resources will largely limit global agricultural production. Precision irrigation is the key to improving water efficiency and achieving sustainable agriculture. Accurate and rapid access to crop water information is an essential prerequisite for precise irrigation decisions. Traditional moisture detection methods based on soil moisture and crop physiological parameters are faced with the problems of variable field conditions, low efficiency and lack of spatial information, which can be extremely limited in practical applications. By contrast, unmanned aerial vehicle (UAV) remote sensing has the advantages of low cost, small size, flexible data acquisition time, and easy acquisition of high-resolution image data. Therefore, UAV remote sensing has become an easy and efficient method for crop water information monitoring. This study systematically introduces the principles, methods and applications of crop water stress analysis using the UAV technology. First, the mechanism of crop water stress analysed by UAV is elaborated, focusing on the relationship between canopy temperature, evapotranspiration, sun-induced chlorophyll fluorescence (SIF) and crop water stress. Next, various UAV imaging technologies for crop water stress monitoring are presented, including optical sensing systems, red, green and blue (RGB) images, multi-spectral sensing systems, and hyper-spectral sensing systems. Subsequently, the application of machine learning algorithms in the field of UAV monitoring of crop water information is outlined, demonstrating their potential for data processing and analysis. Finally, new directions and challenges in UAV-based crop water information acquisition and processing are synthesised and discussed, with special emphasis on the prospects of data assimilation algorithms and non-stomatal restriction in monitoring crop water information in the future. This study provides a comprehensive comparison and assessment of the mechanisms, technologies and challenges of UAV-based crop water information monitoring, providing insights and references for researchers in related fields.

Published in Agricultural Water Management

ISSN: 1873-2283 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Agriculture: Agriculture (General); Social Sciences: Industries. Land use. Labor: Special industries and trades: Agricultural industries
Website: https://www.sciencedirect.com/journal/agricultural-water-management

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