2025-04-18
7 min read

Rice Leaf Disease Detection – Hybrid Deep Learning Model

A high-accuracy hybrid deep learning model combining ResNet-50v2 and a custom classifier to detect and classify rice leaf diseases with 99.53% accuracy, supporting smart agriculture and early crop protection.

🌾 Rice Leaf Disease Detection – Hybrid Deep Learning Model

A high-accuracy deep learning system built to identify and classify rice leaf diseases using computer vision.

This project combines a pretrained ResNet-50v2 model* with a **custom-connected neural network**, trained on a large image dataset to support *timely and precise agricultural diagnostics.

🌟 Features

  • 🔍 Identifies multiple rice leaf diseases from uploaded images

  • 🤝 Hybrid architecture: ResNet-50v2 + custom classifier
  • 🧠 Applied advanced techniques: Batch Normalization, Dropout, L2 Regularization
  • 📈 Achieved 99.53% accuracy* on a dataset of *15,023 rice leaf images
  • 📊 Supports real-time prediction with user-uploaded leaf images

    • 🧪 Model Architecture

  • Base Model: ResNet-50v2 (pretrained on ImageNet)
  • Custom Layers: Fully connected layers with ReLU, Dropout, and L2 regularization
  • Training: Data augmentation (zoom, rotation, flipping), Adam optimizer, early stopping
  • Evaluation: Accuracy curves, confusion matrix, precision & recall

    • 📸 Example Accuracy Plot:

    ![Training Accuracy Plot](/images/Rice_Accuracy.png)

    🌍 Impact

    ✅ Supports farmers in early detection of rice diseases

    🌱 Reduces crop loss through AI-based disease recognition

    🤖 Promotes smart agriculture & precision farming in rural areas

    💡 Use Cases

  • 📷 Mobile app for farmers to click & diagnose rice leaves

  • 🛰 Drone surveillance integration for large-scale field scanning
  • 🧪 Agricultural research & disease tracking
  • 🌾 Government & NGO programs for rural AI adoption

    • 🛑 Disclaimer

    This model was trained on publicly available data and is intended for educational and prototyping purposes only.

    It is not suitable for clinical or commercial deployment without further validation.

    🔖 Hashtags

    #AI #ComputerVision #DeepLearning #ResNet #SmartFarming #AgricultureAI #RiceLeafDetection #AIProjects