A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques
A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques
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Author / Creator
Publisher
London: Cogent
Journal title
Language
English
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Publisher
London: Cogent
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Scope and Contents
Contents
Cotton diseases are disastrous for quality and sustainable production of the yield. Cotton leaf curl virus (CLCuV) is one of the most damaging diseases for cotton crops. Symptoms-based CLCuV identification is tedious, time consuming, error prone and needs exceptional expertise. Sensor-based machine vision approaches have great potential to detect t...
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Full title
A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_3154240350
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3154240350
Other Identifiers
ISSN
2331-1932
E-ISSN
2331-1932
DOI
10.1080/23311932.2024.2339572
