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

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cg.authorship.typesCGIAR single centre
cg.contributor.affiliationInternational Center for Tropical Agriculture
cg.contributor.initiativeAccelerated Breeding
cg.contributor.initiativeSustainable Animal Productivity
cg.contributor.programAcceleratorBreeding for Tomorrow
cg.contributor.programAcceleratorSustainable Animal and Aquatic Foods
cg.creator.identifierDarwin Alexis Arrechea-Castillo: 0000-0002-2395-2181
cg.creator.identifierPaula Espitia-Buitrago: 0000-0002-6610-1491
cg.creator.identifierronald david estupiñan arboleda: 0009-0000-1006-4401
cg.creator.identifierAndres Felipe Ruiz-Hurtado: 0000-0003-1293-8736
cg.creator.identifierRosa Noemi Jauregui: 0000-0001-5403-7392
cg.creator.identifierJuan Andrés Cardoso Arango: 0009-0001-8761-0578
cg.identifier.doihttps://doi.org/10.1016/j.softx.2025.102181
cg.isijournalISI Journal
cg.issn2352-7110
cg.journalSoftwareX
cg.number102181
cg.reviewStatusPeer Review
cg.subject.actionAreaGenetic Innovation
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatINFORMATICS
cg.subject.alliancebiovciatLIVESTOCK
cg.subject.alliancebiovciatPLANT BREEDING
cg.subject.alliancebiovciatPLANT GENETIC RESOURCES
cg.subject.alliancebiovciatTROPICAL FORAGES
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.sdgSDG 1 - No poverty
cg.subject.sdgSDG 2 - Zero hunger
cg.subject.sdgSDG 13 - Climate action
cg.volume30
dc.contributor.authorArrechea-Castillo, Darwin Alexis
dc.contributor.authorEspitia-Buitrago, Paula
dc.contributor.authorArboleda, Ronald David
dc.contributor.authorGallego-Muñoz, Ana Marcela
dc.contributor.authorMoreno-Domínguez, Valeria
dc.contributor.authorGaviria-Valencia, Juan Manuel
dc.contributor.authorBravo, Valeria Andrea
dc.contributor.authorRuiz-Hurtado, Andres Felipe
dc.contributor.authorJauregui, Rosa Noemi
dc.contributor.authorCardoso, Juan Andres
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.available2025-05-08
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.issued2025-05
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevier
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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