干旱区生态环境知识资源中心(Arid): The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review

Arid

DOI	10.1016/j.compag.2024.109008
	The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review
	Zhang, Kun; Yan, Fangfang; Liu, Ping
通讯作者	Liu, P
来源期刊	COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN	0168-1699
EISSN	1872-7107
出版年	2024
卷号	221
英文摘要	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.
英文关键词	Hyperspectral imaging Wheat Biotic stress Abiotic stress
类型	Review
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001238959400001
WOS关键词	FUSARIUM HEAD BLIGHT ; TRITICUM-AESTIVUM L. ; WATER-STRESS ; YELLOW RUST ; FIELD ; PLANTS ; REFLECTANCE ; TOLERANCE ; DAMAGE ; GROWTH
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向	Agriculture ; Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403252
推荐引用方式 GB/T 7714	Zhang, Kun,Yan, Fangfang,Liu, Ping. The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review[J],2024,221.
APA	Zhang, Kun,Yan, Fangfang,&Liu, Ping.(2024).The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review.COMPUTERS AND ELECTRONICS IN AGRICULTURE,221.
MLA	Zhang, Kun,et al."The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review".COMPUTERS AND ELECTRONICS IN AGRICULTURE 221(2024).