Automatic detection of rice disease in images of various leaf sizes
Automatic detection of rice disease in images of various leaf sizes
About this item
Full title
Automatic detection of rice disease in images of various leaf sizes
Author / Creator
Journal title
IET image processing, 2025-01, Vol.19 (1)
Language
English
Formats
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Scope and Contents
Contents
To help farmers manage limited resources, rice disease diagnosis must be accurate, timely, and affordable. This study addresses challenges in rice field images, such as environmental variability and differences in rice leaf sizes. The proposed technique combines convolutional neural network object detection with image tiling, using estimated rice l...
Alternative Titles
Full title
Automatic detection of rice disease in images of various leaf sizes
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1049_ipr2_13301
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1049_ipr2_13301
Other Identifiers
ISSN
1751-9659
E-ISSN
1751-9667
DOI
10.1049/ipr2.13301
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