Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method

Bibliographic Details
Authors:	Hernández, Inés [0000-0003-3093-8238], Gutiérrez, Salvador [0000-0002-8205-9772], Ceballos, Sara, Palacios, Fernando [0000-0001-9801-8206], Toffolatti, Silvia L., Maddalena, Giuliana, Diago, María P. [0000-0003-4049-0879], Tardaguila, Javier [0000-0002-6639-8723]
Format:	article
Status:	Published version
Publication Date:	2022
Country:	España
Institution:	Universidad de La Rioja (UR)
Repository:	RIUR. Repositorio Institucional de la Universidad de La Rioja
OAI Identifier:	oai:portal.dialnet.es:doc/62e5c35ce5f0e01a6a1d0918
Online Access:	https://investigacion.unirioja.es/documentos/62e5c35ce5f0e01a6a1d0918
Access Level:	Open access
Keyword:	non-invasive sensing technologies plant disease detection Plasmopara viticola precision viticulture

Description
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