Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration-Reference-Cited by-同舟云学术

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Enhanced deep learning technique for sugarcane leaf disease classification and mobile application integration

Published:2024-04 Issue:8 Volume:10 Page:e29438
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Daphal Swapnil Dadabhau^ORCID,Koli Sanjay M.

Publisher

Elsevier BV

Reference31 articles.

1. Threat to future global food security from climate change and ozone air pollution;Tai;Nat. Clim. Change,2014

2. A review of imaging techniques for plant disease detection;Singh;Artif. Intell. Agric.,2020

3. Machine learning in plant disease research;Yang;Eur. J. BioMed. Res.,2017

4. Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: methodologies, applications, and challenges;Wani;Arch. Comput. Methods Eng.,2022

5. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging;Bock;Crit. Rev. Plant Sci.,2010

Cited by 1 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. Progresses in Sugarcane Leaf Defect Identification : A Review;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05

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