Detection of Bacterial Infection in Melon Plants by Classification Methods Based on Imaging Data-Reference-Cited by-同舟云学术

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Detection of Bacterial Infection in Melon Plants by Classification Methods Based on Imaging Data

Published:2018-02-14 Issue: Volume:9 Page:
ISSN:1664-462X
Container-title:Frontiers in Plant Science
language:
Short-container-title:Front. Plant Sci.

Author:

Pineda Mónica,Pérez-Bueno María L.,Barón Matilde

Funder

Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía

Ministerio de Economía y Competitividad

European Regional Development Fund

Publisher

Frontiers Media SA

Subject

Plant Science

Reference50 articles.

1. Non-invasive presymptomatic detection of Cercospora beticola infection and identification of early metabolic responses in sugar beet.;Arens;Front. Plant Sci.,2016

2. Hyperspectral and thermal imaging of oilseed rape (Brassica napus) response to fungal species of the genus Alternaria.;Baranowski;PLOS ONE,2015

3. Picturing pathogen infection in plants.;Barón;Z. Naturforsch. C,2016

4. A review of advanced machine learning methods for the detection of biotic stress in precision crop protection.;Behmann;Precis. Agric.,2015

5. Fusion of sensor data for the detection and differentiation of plant diseases in cucumber.;Berdugo;Plant Pathol.,2014

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