Optimizing Citrus Disease Prediction: A Hybrid CNN-SVM Approach for Enhanced Accuracy
V Kumar, D Banerjee, R Chauhan… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) were expertly
combined in this study to create a powerful hybrid model for the automated diagnosis of …
combined in this study to create a powerful hybrid model for the automated diagnosis of …
A Deep Learning for Early Tomato Leaf Disease Detection: A CNN Approach
This article introduces automated tomato leaf disease detection using Convolutional Neural
Networks (CNNs). The work trains a CNN-based model to reliably distinguish healthy and …
Networks (CNNs). The work trains a CNN-based model to reliably distinguish healthy and …
CNN-Random Forest Hybrid Model for Improved Ginger Leaf Disease Classification
V Kumar, D Banerjee, D Upadhyay… - … Conference on E …, 2024 - ieeexplore.ieee.org
The abstract summarizes the key findings and performance indicators of the customized
model that is intended for the categorization of illnesses affecting Gingerleaves. Utilizing …
model that is intended for the categorization of illnesses affecting Gingerleaves. Utilizing …
Revolutionizing Agriculture through Leaf Disease Prediction in Plants
SS Anand, S Sankaran, S Ravi… - 2023 Global …, 2023 - ieeexplore.ieee.org
India's agricultural strength is hindered by plant diseases due to limited understanding of
disease markers and remedies. Deep learning, particularly Convolutional Neural Networks …
disease markers and remedies. Deep learning, particularly Convolutional Neural Networks …
Accurate Anthracnose Disease Classification using a Hybrid CNN-Random Forest Architecture
Using a strong classification model, this research work examines mango powdered leaf
disease evaluation and mitigation. The research findings should summarised in the table …
disease evaluation and mitigation. The research findings should summarised in the table …