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

• Author(s):

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

• Keywords:

  Bus Tracking, Rural Transportation, MERN Stack, React Native, WebSocket, GPS Tracking

• 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.

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Other Details

• Paper id:

  IJSARTV11I5103500

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-08

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