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The Application of Hyperspectral Imaging in Plant Pathology
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Narjes Maleki    , Davoud Koolivand * |
| Department of Plant Protection, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran , d.koolivand@gmail.com |
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Abstract: (282 Views) |
Annually, a significant portion of agricultural products is lost due to biotic and abiotic stresses, making the identification of plant diseases crucial for crop protection. Laboratory diagnostic methods are time-consuming and not ideal for large-scale applications. Modern agricultural approaches with innovative perspectives have the ability to detect diseases at an early stage before visible symptoms appear, providing an opportunity for intervention to control or prevent the spread of contamination prior to the infection or damage of the entire crop. Hyperspectral imaging technology is one of these approaches that has shown remarkable results in the early identification of plant diseases and stresses as a rapid and non-destructive measurement technology. This technique utilizes various sensors and platforms, combining spectral analysis and image analysis methods to simultaneously evaluate physiological and morphological components. This article focuses on the fundamentals of hyperspectral imaging technology, image acquisition, pre-processing, modeling, and analysis of hyperspectral data, as well as its application in plant pathology.
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Article number: 12 |
| Keywords: Platforms in Hyperspectral Imaging, Hyperspectral Cameras, Machine Learning |
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Type of Study: Review |
Subject:
Divers
Received: 2024/03/5 | Accepted: 2024/09/13 | Published: 2024/09/19
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