Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Abstract
This Project Builds Upon Existing Research In Plant Disease Classification By Introducing Key Innovations That Enhance Model Efficiency, Accuracy, And Interpretability. While The Document Outlines A Model Based On EfficientNetB3, This Implementation Leverages DenseNet121, Which Improves Feature Reuse, Reduces Overfitting, And Requires Fewer Parameters. Additionally, Extensive Data Augmentation Techniques Such As Random Flipping, Edge Detection, Convolutional Filtering, And Blurring Enhance The Model’s Ability To Generalize Across Diverse Real-world Conditions.
Keywords
Paper ID
IJSARTV11I5103500
Publication Date
May 8, 2025
Research Area
Information Technology