Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence-Reference-Cited by-同舟云学术

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Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence

Published:2019-02 Issue: Volume:157 Page:63-76
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Cruz Albert,Ampatzidis Yiannis^ORCID,Pierro Roberto,Materazzi Alberto,Panattoni Alessandra,De Bellis Luigi,Luvisi Andrea

Funder

California Consolidated Table Grape and Pest Control District

California State University Program for Education & Research in Biotechnology

National Institute of Food and Agriculture, U.S. Department of Agriculture

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference48 articles.

1. Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado;Abdulridha;Comput. Electron. Agric.,2018

2. Symptom based automated detection of citrus diseases using color histogram and textural descriptors;Ali;Comput. Electron. Agric.,2017

3. iPathology: robotic applications and management of plants and plant diseases;Ampatzidis;Sustainability,2017

4. A new TaqMan method for the identification of phytoplasmas associated with grapevine yellows by real-time PCR assay;Angelini;J. Microbiol. Methods,2007

5. A review on Otsu image segmentation algorithm;Baxi;Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET),2013

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