Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
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 emph...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
BioMed Central
2017
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/47309/ |
| _version_ | 1848797513131229184 |
|---|---|
| author | Lowe, Amy Harrison, Nicola French, Andrew P. |
| author_facet | Lowe, Amy Harrison, Nicola French, Andrew P. |
| author_sort | Lowe, Amy |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:05:04Z |
| format | Article |
| id | nottingham-47309 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:05:04Z |
| publishDate | 2017 |
| publisher | BioMed Central |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-473092020-05-04T19:12:14Z https://eprints.nottingham.ac.uk/47309/ Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress Lowe, Amy Harrison, Nicola French, Andrew P. 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. BioMed Central 2017-10-10 Article PeerReviewed Lowe, Amy, Harrison, Nicola and French, Andrew P. (2017) Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress. Plant Methods, 13 . 80/1-80/12. ISSN 1746-4811 Hyperspectral imaging; Image analysis techniques; Vegetation Indices; Plant disease and stress; Early detection of stress; Hyperspectral image analysis https://plantmethods.biomedcentral.com/articles/10.1186/s13007-017-0233-z doi:10.1186/s13007-017-0233-z doi:10.1186/s13007-017-0233-z |
| spellingShingle | Hyperspectral imaging; Image analysis techniques; Vegetation Indices; Plant disease and stress; Early detection of stress; Hyperspectral image analysis Lowe, Amy Harrison, Nicola French, Andrew P. Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| title | Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| title_full | Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| title_fullStr | Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| title_full_unstemmed | Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| title_short | Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| title_sort | hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| topic | Hyperspectral imaging; Image analysis techniques; Vegetation Indices; Plant disease and stress; Early detection of stress; Hyperspectral image analysis |
| url | https://eprints.nottingham.ac.uk/47309/ https://eprints.nottingham.ac.uk/47309/ https://eprints.nottingham.ac.uk/47309/ |