Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1186341
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dc.contributor.authorFURUYA, D. E. G.
dc.contributor.authorBOLFE, E. L.
dc.contributor.authorPARREIRAS, T. C.
dc.date.accessioned2026-04-22T18:48:57Z-
dc.date.available2026-04-22T18:48:57Z-
dc.date.created2026-04-22
dc.date.issued2026
dc.identifier.citationIn: CONVERGENCE OF RESEARCH IN DIGITAL AGRICULTURE LEADING LABS (CORDIALL) CONFERENCE, 2026, Montpellier. Book of abstracts. Paris: INRAE, 2026. p. 59.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1186341-
dc.descriptionMobile phones images of Fuji and Gala apples are being used to evaluate the performance of neural networks for fruit detection, which can serve as the basis for developing future mobile applications not only for fruit detection but also for the assessment of different characteristics and parameters, such as size, color, or quality. Such applications may support farmers and technicians by offering practical and low-cost tools for monitoring orchard conditions.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectAgricultura digital
dc.subjectPomar de maçã
dc.subjectDistrito Agrotecnológico de Vacaria
dc.subjectRedes neurais
dc.subjectImagem de satélite
dc.subjectSatellite imagery
dc.titleFrom satellites to smartphones: opportunities for digital agriculture in apple orchards.
dc.typeResumo em anais e proceedings
dc.subject.nalthesaurusApples
dc.subject.nalthesaurusNeural networks
riaa.ainfo.id1186341
riaa.ainfo.lastupdate2026-04-22
dc.contributor.institutionDANIELLE ELIS GARCIA FURUYA, UNIVERSIDADE ESTADUAL DE CAMPINAS; EDSON LUIS BOLFE, CNPTIA; TAYA CRISTO PARREIRAS, UNIVERSIDADE ESTADUAL DE CAMPINAS.
Appears in Collections:Resumo em anais de congresso (CNPTIA)

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