Image-based Mangifera indica pathogen recognition using artificial intelligence

Simple item page
creativework.keywordsdefect recognition, disease detection, fruit defect recognition, object detection frameworks
dc.contributor.authorBaculo, Maria Jeseca C.
dc.contributor.authorRivera, Nema Rose D.
dc.contributor.authorCuison, Floribeth P.
dc.date.accessioned2026-04-14T07:17:02Z
dc.date.available2026-04-14T07:17:02Z
dc.date.issued26-08-2024
dc.description.abstractMangifera Indica, holds significant global export value. This study focuses on implementing object detection frameworks to identify five surface defects in this mango variety, which is crucial for maintaining its export quality. The methodology involves training four object detection frameworks. Results show that the modified region extraction technique, which uses adaptive binarization and morphological operations catered to detect mango surface defects, with EfficientNet as the base learner, demonstrated improved accuracy with a mean Average Precision (mAP) of 0.842 at an Intersection over the Union (IoU) threshold of 0.75.
dc.identifier.citationBaculo, M. J. C., Rivera, N. R. D., & Cuison, F. P. (2024). Image-based Mangifera indica pathogen recognition using artificial intelligence. Association for Computing Machinery (ACM). 157-161. https://doi.org/10.1145/3674558.36745
dc.identifier.doihttps://doi.org/10.1145/3674558.3674580
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/1300
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urihttps://dl.acm.org/doi/10.1145/3674558.3674580
dc.sdgSDG 9
dc.sdgSDG 2
dc.sdgSDG 12
dc.subjectMangifera indica
dc.subjectMango diseases
dc.subjectPlant pathogen detection
dc.subjectImage-based recognition
dc.subjectArtificial intelligence
dc.subjectComputer vision
dc.subjectPrecision agriculture
dc.subject.ddcPlant injuries, diseases, and pests
dc.subject.ddcImage recognition (AI aspect)
dc.subject.ddcAgricultural technology
dc.subject.lcshMango--Diseases and pests
dc.subject.lcshPlant diseases--Identification
dc.subject.lcshComputer vision
dc.subject.lcshArtificial intelligence
dc.subject.lcshImage processing--Digital techniques
dc.subject.lcshPrecision agriculture
dc.titleImage-based Mangifera indica pathogen recognition using artificial intelligence
dc.typeArticle
local.subject.scientificnameMangifera indica L.
local.subject.scientificnameMangifera indica
oaire.citation.endPage161
oaire.citation.startPage157
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
PUB-JAPE-2024-BaculoMJC-FT.pdf
Size:
646.01 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Journal articles published externally