Harnessing image processing for precision disease diagnosis in sugar beet agriculture-Reference-Cited by-同舟云学术

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Harnessing image processing for precision disease diagnosis in sugar beet agriculture

Published:2024-11 Issue:4 Volume:3 Page:100075
ISSN:2772-8994
Container-title:Crop Design
language:en
Short-container-title:Crop Design

Author:

Misra Varucha,Mall A.K.

Publisher

Elsevier BV

Reference157 articles.

1. Disease detection of Cercospora leaf spot in sugar beet by robust template matching;Zhou;Comput. Electron. Agric.,2014

2. A sugar beet leaf disease classification method based on image processing and deep learning;Adem;Multimed. Tool. Appl.,2023

3. Advancements and prospects of CRISPR/Cas9 technologies for abiotic and biotic stresses in sugar beet;Misra;Front. Genet.,2023

4. Rhizoctonia root-rot diseases in sugar beet: pathogen diversity, pathogenesis and cutting-edge advancements in management research;Misra;Microbe,2023

5. Rhizoctonia Root Rot. Technical Leaflet. SESVanderhave;Wounde,2015

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