Plant disease diagnosis and solution system based on neural networks
- Title
- Plant disease diagnosis and solution system based on neural networks
- Creator
- Megha Chandra Reddy N.V.; Ashish Reddy K.; Sushanth G.; Sujatha S.
- Description
- Plant diseases are one of the major factors affecting crop yield. Early identification of these diseases can improve productivity and save money and time for the farmer. This paper presents a novel technique to diagnose plant diseases using a mobile application. A Convolutional Neural Network (CNN) model was built and trained using MobileNetV2 architecture with the help of image processing techniques and transfer learning. A dataset comprising 87,000 images that contain 38 classes of diseases belonging to 14 different crops was used to train the model. The model achieved an accuracy of 98.69% and a loss of 0.5373. A mobile application was built in Android Studio with the help of a trained model. The mobile application built works without a need for a remote server. The application can identify the disease, gives information regarding the identified disease and also suggests necessary remedies to tackle the disease. 2021, Engg Journals Publications. All rights reserved.
- Source
- Indian Journal of Computer Science and Engineering, Vol-12, No. 4, pp. 1084-1092.
- Date
- 2021-01-01
- Publisher
- Engg Journals Publications
- Subject
- Convolutional Neural Network (CNN); Image Processing; MobileNet
- Coverage
- Megha Chandra Reddy N.V., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India; Ashish Reddy K., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India; Sushanth G., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India; Sujatha S., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 9765166
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Megha Chandra Reddy N.V.; Ashish Reddy K.; Sushanth G.; Sujatha S., “Plant disease diagnosis and solution system based on neural networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/15742.