Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM
Authors
Keywords
-
Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-02-11
DOI
10.1038/s41598-020-59108-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Visual Tea Leaf Disease Recognition Using a Convolutional Neural Network Model
- (2019) Jing Chen et al. Symmetry-Basel
- Rice Blast Disease Recognition Using a Deep Convolutional Neural Network
- (2019) Wan-jie Liang et al. Scientific Reports
- Factors influencing the use of deep learning for plant disease recognition
- (2018) Jayme G.A. Barbedo BIOSYSTEMS ENGINEERING
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
- (2018) Artzai Picon et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Deep learning models for plant disease detection and diagnosis
- (2018) Konstantinos P. Ferentinos COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A comparative study of fine-tuning deep learning models for plant disease identification
- (2018) Edna Chebet Too et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network
- (2018) Juncheng Ma et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
- (2018) Jayme Garcia Arnal Barbedo COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Identification of rice diseases using deep convolutional neural networks
- (2017) Yang Lu et al. NEUROCOMPUTING
- Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks
- (2017) Bin Liu et al. Symmetry-Basel
- Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning
- (2017) Guan Wang et al. Computational Intelligence and Neuroscience
- A review on the main challenges in automatic plant disease identification based on visible range images
- (2016) Jayme Garcia Arnal Barbedo BIOSYSTEMS ENGINEERING
- Deep learning for visual understanding: A review
- (2016) Yanming Guo et al. NEUROCOMPUTING
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- Prevalence of Tobacco mosaic virus in Iran and Evolutionary Analyses of the Coat Protein Gene
- (2013) Athar Alishiri et al. Plant Pathology Journal
- An image-processing based algorithm to automatically identify plant disease visual symptoms
- (2008) A. Camargo et al. BIOSYSTEMS ENGINEERING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now