Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease
Fungal diseases not only influence the economic importance of the plants and its products but also abate their ecological prominence. Mango tree, specifically the fruits and the leaves are highly affected by the fungal disease named as <italic>Anthracnose</italic>. The main aim of this p...
Saved in:
| Main Authors: | Uday Pratap Singh, Siddharth Singh Chouhan, Sukirty Jain, Sanjeev Jain |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8675730/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering
by: Unmesh Shukla, et al.
Published: (2021-01-01) -
Image Classification of Indonesian Snacks using Convolutional Neural Network
by: Kunti Eliyen, et al.
Published: (2025-05-01) -
Enhancing geometric modeling in convolutional neural networks: limit deformable convolution
by: Wei Wang, et al.
Published: (2025-03-01) -
Lung Nodule Classification Based on 3D Convolutional Neural Network
by: WANG Wei-bing, et al.
Published: (2021-08-01) -
Research note: Application of convolutional neural networks for feather classification in chickens
by: Jiajia Niu, et al.
Published: (2025-11-01)