BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.

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cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.initiativeAccelerated Breeding
cg.contributor.initiativeSustainable Animal Productivity
cg.creator.identifierDarwin Alexis Arrechea-Castillo: 0000-0002-2395-2181en
cg.creator.identifierPaula Espitia-Buitrago: 0000-0002-6610-1491en
cg.creator.identifierronald david estupiñan arboleda: 0009-0000-1006-4401en
cg.creator.identifierAndres Felipe Ruiz-Hurtado: 0000-0003-1293-8736en
cg.creator.identifierRosa Noemi Jauregui: 0000-0001-5403-7392en
cg.creator.identifierJuan Andrés Cardoso Arango: 0009-0001-8761-0578en
cg.identifier.doihttps://doi.org/10.1016/j.softx.2025.102181en
cg.isijournalISI Journalen
cg.issn2352-7110en
cg.journalSoftwareXen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaGenetic Innovation
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatINFORMATICSen
cg.subject.alliancebiovciatLIVESTOCKen
cg.subject.alliancebiovciatPLANT BREEDINGen
cg.subject.alliancebiovciatPLANT GENETIC RESOURCESen
cg.subject.alliancebiovciatTROPICAL FORAGESen
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.sdgSDG 1 - No povertyen
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 13 - Climate actionen
cg.volume30en
dc.contributor.authorArrechea-Castillo, Darwin Alexisen
dc.contributor.authorEspitia-Buitrago, Paulaen
dc.contributor.authorArboleda, Ronald Daviden
dc.contributor.authorGallego-Muñoz, Ana Marcelaen
dc.contributor.authorMoreno-Domínguez, Valeriaen
dc.contributor.authorGaviria-Valencia, Juan Manuelen
dc.contributor.authorBravo, Valeria Andreaen
dc.contributor.authorRuiz-Hurtado, Andres Felipeen
dc.contributor.authorJauregui, Rosa Noemien
dc.contributor.authorCardoso, Juan Andresen
dc.date.accessioned2025-05-13T09:23:35Zen
dc.date.available2025-05-13T09:23:35Zen
dc.identifier.urihttps://hdl.handle.net/10568/174538
dc.titleBrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.en
dcterms.abstractSeed yield prediction in forage plants involves the detection and counting of individual racemes that comprise an inflorescence. However, this task is labor-intensive to perform manually across large numbers of plants and overly complex for classical machine learning techniques due to challenges such as high raceme overlap, large variations in raceme numbers per image and spectral signature similarities between the racemes and the vegetative parts of the plant. To address these challenges, a deep learning-based desktop tool was implemented to count individual racemes in RGB images of Urochloa genotypes, showing different phenological stages and wide variation in number of racemes per plant.en
dcterms.accessRightsOpen Access
dcterms.available2025-05-08en
dcterms.bibliographicCitationArrechea-Castillo, D.A.; Espitia-Buitrago, P.; Arboleda, R.D.; Gallego-Muñoz, A.M.; Moreno-Domínguez, V.; Gaviria-Valencia, J.M.; Bravo, V.A.; Ruiz-Hurtado, A.F.; Jauregui, R.N.; Cardoso, J.A. (2025) BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.. SoftwareX 30: 102181. ISSN: 2352-7110en
dcterms.extent102181en
dcterms.issued2025-05-08en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevier BVen
dcterms.subjectmachine learningen
dcterms.subjectaprendizaje automáticoen
dcterms.subjectforageen
dcterms.subjectfloweringen
dcterms.subjectdetectionen
dcterms.subjectimagery-computer visionen
dcterms.subjectimagen-visión por ordenadoren
dcterms.subjectforrajeen
dcterms.subjectfloraciónen
dcterms.subjectdetecciónen
dcterms.typeJournal Article

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