Título:	From satellites to smartphones: opportunities for digital agriculture in apple orchards.
Autor:	FURUYA, D. E. G. BOLFE, E. L. PARREIRAS, T. C.
Afiliación:	DANIELLE ELIS GARCIA FURUYA, UNIVERSIDADE ESTADUAL DE CAMPINAS; EDSON LUIS BOLFE, CNPTIA; TAYA CRISTO PARREIRAS, UNIVERSIDADE ESTADUAL DE CAMPINAS.
Año:	2026
Referencia:	In: CONVERGENCE OF RESEARCH IN DIGITAL AGRICULTURE LEADING LABS (CORDIALL) CONFERENCE, 2026, Montpellier. Book of abstracts. Paris: INRAE, 2026. p. 59.
Descripción:	Mobile 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.
NAL Thesaurus:	Apples Neural networks
Palabras clave:	Agricultura digital Pomar de maçã Distrito Agrotecnológico de Vacaria Redes neurais Imagem de satélite Satellite imagery
Tipo de Material:	Resumo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Resumo em anais de congresso (CNPTIA)