The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review

• Published in: Computers and electronics in agriculture Vol. 221; p. 109008
• Main Authors: Zhang, Kun, Yan, Fangfang, Liu, Ping
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2024
• Subjects: Abiotic stress; agriculture; Biotic stress; drought; electronics; fungi; greenhouses; hyperspectral imagery; Hyperspectral imaging; physiological state; plant protection; temperature; Triticum aestivum; Wheat; Biotic stress; Abiotic stress; Wheat; Hyperspectral imaging
• ISSN: 0168-1699
• DOI: 10.1016/j.compag.2024.109008

•The use of hyperspectral images (HSI) in wheat biotic and abiotic stress is analyzed.•Applications on HSI-based wheat stress were reviewed and summarized in detail.•More than 200 peer-reviewed articles were considered.•Hyperspectral image data and deep/machine learning methods have been comprehensively applied to wheat stress analysis.•Major challenges are identified and discussed, and possible directions for future research are suggested. Wheat (Triticum aestivum L.), as one of the three major food crops, predominantly thrives in arid and semi-arid regions of the world, and it is particularly vulnerable to various stress factors. Promptly identifying and assessing the levels of stress in wheat is crucial for implementing effective plant protection strategies in its cultivation. In recent years, hyperspectral imaging (HSI) has emerged as a significant non-destructive technology, offering both spatial and spectral insights into the subject under examination. This technology holds considerable potential in diagnosing stress in wheat crops. This review primarily explores the utilization of HSI in analyzing both biotic and abiotic stress in wheat, showcasing its effectiveness in identifying various conditions such as temperature stress, nutritional imbalances, drought, salinity-alkalinity, fungal infections, and other pest-related issues. The basic principle of HSI technology and the basic components of the hyperspectral sensor system platform are briefly introduced. Research shows that hyperspectral sensors can be mounted on different equipment platforms and can be effectively applied in laboratory, greenhouse, and field environment. In addition, HSI can also monitor the effects of biotic or abiotic stress on the physiological state of wheat at different scales. Finally, the limitations of hyperspectral technology in monitoring wheat stress are summarized and future research needs are proposed.