Computer Vision & Predictive Maintenance
About the Project
AgroLens AI is a mobile-first diagnostic tool that empowers farmers to identify crop issues instantly using their smartphone camera, reducing the need for expensive on-site agronomists.
The Business Challenge
01 OCR Receipt Extraction: High-accuracy extraction from blurry or crumpled photos.
02 Auto-Categorization: Maps expenses to tax categories based on local laws.
03 Anomaly Detection: Flags duplicate invoices or suspicious spending patterns.
04 90% Faster month-end closing process for accounting teams.
Strategic Roadmap
Mobile-First Diagnostic Design: Built the entire experience around smartphone camera usage so farmers can scan crop issues directly from the field.
AI Vision Training Pipeline: Trained image models on real crop disease, pest, and nutrient-deficiency datasets for high recognition accuracy.
Low-Bandwidth Optimization: Optimized image upload and inference flow to work reliably in rural and low-network areas.
Guided Action Framework: Designed AI responses to include clear next-step treatment guidance, not just problem detection.
Key Features
- Instant Crop Scan Engine: AI-powered camera detection that identifies diseases, pests, and leaf stress patterns in seconds.
- On-Device Image Preprocessing: Enhances blurry or low-light photos before diagnosis for better accuracy.
- Localized Treatment Suggestions: Provides region-aware recommendations for fertilizers, pesticides, and preventive care.
- Farmer-Friendly UX Flow: Simple, icon-led interface so non-technical users can operate without training.
The Results
- →Faster Field Diagnosis: Farmers can identify crop problems instantly without waiting for agronomist visits.
- →Cost Reduction: Reduced dependency on expensive on-site expert inspections.
- →Higher Yield Protection: Early detection enabled quicker intervention and minimized crop loss.
- →Scalable Rural Adoption: Mobile-first design made the tool practical for large-scale farmer usage.