Convolution network model based leaf disease detection using augmentation techniques-Reference-Cited by-同舟云学术

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Convolution network model based leaf disease detection using augmentation techniques

Published:2021-11-18 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Nagaraju Mamillapally¹,Chawla Priyanka¹^ORCID,Upadhyay Shuchi²,Tiwari Rajeev³

Affiliation:

1. School of Computer Science and Engineering Lovely Professional University Phagwara India

2. Department of Allied Sciences, School of Health Sciences University of Petroleum and Energy Studies Dehradun India

3. SoCS University of Petroleum and Energy Studies Dehradun India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12885

Reference34 articles.

1. Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features;Arivazhagan S.;CIGR Journal,2013

2. Plant disease identification from individual lesions and spots using deep learning;Arnal Barbedo J. G.;Biosystems Engineering,2019

3. Solving current limitations of deep learning based approaches for plant disease detection;Arsenovic M.;Symmetry,2019

4. A new automatic method for disease symptom segmentation in digital photographs of plant leaves

5. Identifying multiple plant diseases using digital image processing

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