Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
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’ wit...
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| Series: | Plant Methods |
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| Online Access: | http://link.springer.com/article/10.1186/s13007-017-0233-z |
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doaj-af55dd390dfa453b84fc5081d5ff9f932020-11-25T01:39:11ZengBMCPlant Methods1746-48112017-10-0113111210.1186/s13007-017-0233-zHyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stressAmy Lowe0Nicola Harrison1Andrew P French2School of Biosciences, University of NottinghamNIAB EMRSchool of Biosciences, University of NottinghamAbstract 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.http://link.springer.com/article/10.1186/s13007-017-0233-zHyperspectral imagingImage analysis techniquesVegetation IndicesPlant disease and stressEarly detection of stressHyperspectral image analysis |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Amy Lowe Nicola Harrison Andrew P French |
| spellingShingle |
Amy Lowe Nicola Harrison Andrew P French Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress Plant Methods Hyperspectral imaging Image analysis techniques Vegetation Indices Plant disease and stress Early detection of stress Hyperspectral image analysis |
| author_facet |
Amy Lowe Nicola Harrison Andrew P French |
| author_sort |
Amy Lowe |
| title |
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_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_sort |
hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress |
| publisher |
BMC |
| series |
Plant Methods |
| issn |
1746-4811 |
| publishDate |
2017-10-01 |
| description |
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. |
| topic |
Hyperspectral imaging Image analysis techniques Vegetation Indices Plant disease and stress Early detection of stress Hyperspectral image analysis |
| url |
http://link.springer.com/article/10.1186/s13007-017-0233-z |
| work_keys_str_mv |
AT amylowe hyperspectralimageanalysistechniquesforthedetectionandclassificationoftheearlyonsetofplantdiseaseandstress AT nicolaharrison hyperspectralimageanalysistechniquesforthedetectionandclassificationoftheearlyonsetofplantdiseaseandstress AT andrewpfrench hyperspectralimageanalysistechniquesforthedetectionandclassificationoftheearlyonsetofplantdiseaseandstress |
| _version_ |
1725050016652853248 |