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Volume 11, Issue 5 (May 2025)

Optimized Convolutional Network With Adaptive Augmentation For Multi-class Plant Disease Detection

Impact Factor
7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Dr.K.Geetha Bhuvaneshwaran G Aravindhan K Syed AhamedB.A

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

Bus Tracking Rural Transportation MERN Stack React Native WebSocket GPS Tracking

Paper ID

IJSARTV11I5103500

Publication Date

May 8, 2025

Research Area

Information Technology

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