Computer Vision & Predictive Maintenance

AGRO

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.