AI-powered tool for spidermite damage assessment in tropical grasses

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cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeAccelerated Breedingen_US
cg.coverage.countryColombiaen_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2COen_US
cg.coverage.iso3166-alpha2KEen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionAmericasen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionSub-Saharan Africaen_US
cg.coverage.regionSouth Americaen_US
cg.coverage.regionLatin America and the Caribbeanen_US
cg.creator.identifierAndres Felipe Ruiz-Hurtado: 0000-0003-1293-8736en_US
cg.creator.identifierPaula Espitia-Buitrago: 0000-0002-6610-1491en_US
cg.creator.identifierJuan Andrés Cardoso Arango: 0000-0002-0252-4655en_US
cg.creator.identifierRosa Noemi Jauregui: 0000-0002-1058-3735en_US
cg.identifier.urlhttps://github.com/afruizh/damage_assessment_pipelineen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.alliancebiovciatAGRICULTUREen_US
cg.subject.alliancebiovciatCROP PRODUCTIONen_US
cg.subject.alliancebiovciatPESTS AND DISEASESen_US
cg.subject.alliancebiovciatPLANT BREEDINGen_US
cg.subject.alliancebiovciatTROPICAL FORAGESen_US
cg.subject.impactAreaEnvironmental health and biodiversityen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.subject.sdgSDG 3 - Good health and well-beingen_US
cg.subject.sdgSDG 8 - Decent work and economic growthen_US
cg.subject.sdgSDG 12 - Responsible production and consumptionen_US
cg.subject.sdgSDG 13 - Climate actionen_US
cg.subject.sdgSDG 15 - Life on landen_US
cg.subject.sdgSDG 17 - Partnerships for the goalsen_US
dc.contributor.authorRuiz-Hurtado, Andres Felipeen_US
dc.contributor.authorEspitia Buitrago, Paula Andreaen_US
dc.contributor.authorKimani, Adrian Matinglen_US
dc.contributor.authorChidawanyika, Franken_US
dc.contributor.authorCardoso Arango, Juan Andresen_US
dc.contributor.authorJauregui, Rosa Noemien_US
dc.date.accessioned2024-12-21T12:46:59Zen_US
dc.date.available2024-12-21T12:46:59Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/168237en_US
dc.titleAI-powered tool for spidermite damage assessment in tropical grassesen_US
dcterms.abstractThis tool is an AI-powered tool designed for assessing spidermite damage in tropical grasses. This software uses advanced image processing and machine learning models to perform damage classification for field images and plant segmentation using a salient object detection approach. Further refinement of models and fine-tuning is being actively researched. A deployed Gradio web application version is available on Hugging Face for online use, and users can also run the tool locally.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationRuiz-Hurtado, A.F.; Espitia Buitrago, P.A.; Kimani, A.M.; Chidawanyika, F.; Cardoso Arango, J.A.; Jauregui, R.N. (2024) AI-powered tool for spidermite damage assessment in tropical grasses.en_US
dcterms.issued2024en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.subjectartificial intelligenceen_US
dcterms.subjectphenotypingen_US
dcterms.subjectfenotipadoen_US
dcterms.subjectinteligencia artificialen_US
dcterms.subjectinsect diseasesen_US
dcterms.subjectimage processingen_US
dcterms.subjectprocesamiento digital de imágenesen_US
dcterms.subjecttolerance to pestsen_US
dcterms.subjecttolerancia a enfermedadesen_US
dcterms.typeSoftwareen_US

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