Plant Methods· 2017Q1· Review
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
- 637citations
- Q1SCImago
- 2017year
Short summary
Hyperspectral imaging offers advanced capabilities for early detection and classification of plant diseases and stress, providing more detailed information on plant health than traditional methods.
AI-generated from the title and abstract; the full text is not read.
Key points
- Hyperspectral imaging provides detailed information on plant health beyond visual detection.
- Techniques are categorized by their accuracy in classifying healthy vs. diseased plants.
- Emphasis is placed on early detection of stress and prediction of disease onset.
- The review covers methods for detecting both biotic and abiotic plant stresses.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Plant Methods, 2017 · DOI ↗
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Field: Analytical Chemistry
Analytical ChemistryChemistry