Exhibit entry

SmartAgro Diagnoser: AI System for Plant Disease Detection

SmartAgro Diagnoser uses AI to detect and classify plant diseases in real-time from leaf images, helping farmers protect their crops.

• Productivity
• AI Models:
• Convolutional Neural Network (CNN) — for image classification and disease detection
• Transfer Learning Models (optional
• for improved accuracy and faster training)
• e.g.
• MobileNet
• ResNet
• or EfficientNet
• Libraries & Frameworks:
• TensorFlow / Keras — for building and training deep learning models
• OpenCV — for image preprocessing and augmentation
• NumPy and Pandas — for data manipulation
• Matplotlib / Seaborn — for visualization during model training and analysis