Deep convolutional neural network-based cassava plant leaf disease classification

Cassava is a woody plant in which leaf disease affects the productivity that primarily influences the farmers, as it occurs naturally. A Deep Convolutional Neural Network (DCNN) based leaf disease classification model is proposed. Automatic detection of cassava leaf disease assists humans in monitor...

Full description

Saved in:
Bibliographic Details
Main Authors: Arulkumaran, G., Gopi, B., Khan, Vijitha, Parameshwaran, R.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Blight
Cassava
Classification
Datasets
Farms
Feature extraction
Machine learning
Plant diseases
Signs and symptoms
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Cassava is a woody plant in which leaf disease affects the productivity that primarily influences the farmers, as it occurs naturally. A Deep Convolutional Neural Network (DCNN) based leaf disease classification model is proposed. Automatic detection of cassava leaf disease assists humans in monitoring the huge farm of crops manually. Early detection of the disease symptoms on plant leaves aids in avoiding the spreading of leaf diseases throughout the farmland. The diseased leaf region is segmented. Its statistical features are extracted using Deep Learning (DL) technique and fed as input to the classifier with the training dataset model with various leaf diseases. First, the given input image is identified as a normal leaf or infected leaf. Followed by classifying the type of disease based on the pre-trained database with various datasets, namely Cassava Green Mite (CGM), Cassava Brown Streak Disease (CBSD), Cassava Bacterial Blight (CBB), Cassava Mosaic Disease (CMD) diseases.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0110659