Precision Agriculture and Object Detection: Deep Learning Models for Crop Disease Management
Precision Agriculture and Object Detection: Deep Learning Models for Crop Disease Management
About this item
Full title
Author / Creator
Publisher
Jiutepec: International Journal of Combinatorial Optimization Problems & Informatics
Journal title
Language
English
Formats
Publication information
Publisher
Jiutepec: International Journal of Combinatorial Optimization Problems & Informatics
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More information
Scope and Contents
Contents
This study presents a comprehensive dataset designed for the visual detection of crop diseases, comprising 43,267 images of 12 crop species across 15 disease classes. The dataset was developed over 14 months of dedicated human effort. To evaluate its effectiveness, several plant disease detection and classification algorithms were tested. The model...
Alternative Titles
Full title
Precision Agriculture and Object Detection: Deep Learning Models for Crop Disease Management
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Record Identifier
TN_cdi_proquest_journals_3182339068
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3182339068
Other Identifiers
ISSN
2007-1558
E-ISSN
2007-1558
DOI
10.61467/2007.1558.2025.v16i2.870
