Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress.
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress.
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DOI：
10.1186/s13007-017-0233-z
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发表时间：
2017
期刊：
影响因子：
5.1
通讯作者：
French AP
中科院分区：
文献类型：
--
作者：
Lowe A;Harrison N;French AP
这篇综述探讨了成像技术是如何发展的，重点是应用于作物监测方法。讨论了与田间和温室植物相关的成像应用，并将技术分为“健康和患病植物分类”，重点是分类准确性、早期检测压力和疾病严重程度。本次审查的一个中心焦点是高光谱成像的使用，以及如何利用高光谱成像来发现有关植物健康的额外信息，以及预测疾病发病的能力。概述了用于检测植物中生物和非生物胁迫的技术，包括与每种方法相关的准确性水平。
This review explores how imaging techniques are being developed with a focus on deployment for crop monitoring methods. Imaging applications are discussed in relation to both field and glasshouse-based plants, and techniques are sectioned into ‘healthy and diseased plant classification’ with an emphasis on classification accuracy, early detection of stress, and disease severity. A central focus of the review is the use of hyperspectral imaging and how this is being utilised to find additional information about plant health, and the ability to predict onset of disease. A summary of techniques used to detect biotic and abiotic stress in plants is presented, including the level of accuracy associated with each method.
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DOI：
10.1016/j.isprsjprs.2014.03.016
发表时间：
2014-07-01
影响因子：
12.7
作者：
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影响因子：
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作者：
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