Early detection of Botrytis cinerea symptoms using deep learning multi-spectral image segmentation-Reference-Cited by-同舟云学术

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Early detection of Botrytis cinerea symptoms using deep learning multi-spectral image segmentation

Published:2024-08 Issue: Volume:8 Page:100481
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Giakoumoglou Nikolaos,Kalogeropoulou Eleni,Klaridopoulos Christos^ORCID,Pechlivani Eleftheria Maria^ORCID,Christakakis Panagiotis^ORCID,Markellou Emilia,Frangakis Nikolaos^ORCID,Tzovaras Dimitrios

Publisher

Elsevier BV

Reference48 articles.

1. Botrytis cinerea : the cause of grey mould disease;Williamson;Mol. Plant Pathol.,2007

2. Fungal small RNAs suppress plant immunity by hijacking host RNA interference pathways;Weiberg;Science,2013

3. The Top 10 fungal pathogens in molecular plant pathology;Dean;Mol. Plant Pathol.,2012

4. Evaluating potential importance of cucumber (Cucumis sativus L. -Cucurbitaceae): a brief review;Mallick;Int. J. Appl. Sci. Biotechnol.,2022

5. Controlling gray mould caused by Botrytis cinerea in cucumber plants by means of chitosan;Ben-Shalom;Crop Protect.,2003

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vision Transformers in Optimization of AI-Based Early Detection of Botrytis cinerea;AI;2024-08-01

2. Smartphone-Based Citizen Science Tool for Plant Disease and Insect Pest Detection Using Artificial Intelligence;Technologies;2024-07-03

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