Filahati AI: Intelligent Plant Disease Detection & Agricultural Health Monitoring

Project Overview

Filahati AI is a next-generation plant health intelligence platform that leverages state-of-the-art Deep Learning to detect, diagnose, and provide treatment solutions for plant diseases across multiple crops.

Key Achievements

Technical Implementation

• Data Processing: Curated and processed 50,000+ plant images from multiple sources, implementing advanced data augmentation and train/validation splits
• Model Training: Developed ensemble of Vision Transformers and EfficientNet architectures with transfer learning and self-supervised pre-training
• Multi-task Learning: Implemented simultaneous disease classification, localization (YOLOv8), and severity quantification (U-Net segmentation)
• Dashboard Development: Built comprehensive monitoring system with real-time health checks, treatment recommendations, and performance analytics
• Explainable AI: Integrated Grad-CAM visualizations to provide transparent diagnosis reasoning

Results & Impact

• Achieved 96.7% top-1 accuracy in disease classification across multiple crop types
• Reduced false positives by 40% through multi-modal data fusion and temporal analysis
• Enabled early disease detection with severity quantification for precision treatment
• Deployed scalable solution with sub-second inference times for real-time field use
• Built comprehensive treatment recommendation engine based on disease severity and environmental factors