Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques-Reference-Cited by-同舟云学术

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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques

Published:2024-05 Issue: Volume: Page:
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Simhadri Chinna Gopi^ORCID,Kondaveeti Hari Kishan^ORCID,Vatsavayi Valli Kumari^ORCID,Mitra Alakananda^ORCID,Ananthachari Preethi^ORCID

Publisher

Elsevier BV

Reference166 articles.

1. Agriculture and development: A brief review of the literature;Dethier;Econ Syst,2012

2. Crop losses due to diseases and their implications for global food production losses and food security;Savary;Food Secur,2012

3. Crops that feed the world 7: Rice;Seck;Food Secur,2012

4. Detection and classification of leaf diseases using K-means-based segmentation and;Al Bashish;Inform Technol J,2011

5. Digital image processing techniques for detecting, quantifying and classifying plant diseases;Arnal Barbedo;SpringerPlus,2013

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. A Lightweight Crop Pest Detection Method Based on Improved RTMDet;Information;2024-08-26

2. Efficient Damage Assessment of Rice Bacterial Leaf Blight Disease in Agricultural Insurance Using UAV Data;Agronomy;2024-06-19

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