ClientMobile Applications•2023
Agriculture Management Application
Comprehensive mobile app for farmers featuring crop lifecycle tracking, pest/disease identification, weather forecasts, and mandi price updates. Built for a farmer cooperative.
Project Overview
Comprehensive mobile app for farmers featuring crop lifecycle tracking, pest/disease identification, weather forecasts, and mandi price updates. Built for a farmer cooperative.
Problem Statement
Smallholder farmers lack access to timely agricultural information, market prices, and expert advice, leading to suboptimal decisions and income loss.
Proposed Solution
Farmer-centric mobile app with offline-first architecture, localized content, voice-based navigation for low-literacy users, and integration with government agricultural schemes.
Key Features
Crop calendar with stage-wise activities and reminders
Pest/disease identification via camera (ML on-device)
Weather forecasts with agricultural advisories
Real-time mandi (market) prices for 200+ crops
Government scheme eligibility and application guidance
Expert consultation booking (voice/video)
Input calculator (seeds, fertilizer, pesticide)
Expense and income tracking per crop cycle
Multi-language support (12 Indian languages)
Voice-based navigation for accessibility
Offline-first with background sync
Community forum for peer advice
Technology Stack
FlutterDartFirebaseFirebase MLREST APIsSQLiteProvider/BlocGoogle MapsOpenWeather APIAgmarknet APIGitHub ActionsFastlane
Project Screenshots
Development Process
01
Field Research
3 weeks- Farmer interviews (50+)
- Cooperative workshops
- Literacy and tech access assessment
02
Architecture & Offline Design
2 weeks- Data model for offline-first
- Sync conflict resolution
- Storage optimization
03
Development
10 weeks- Flutter app development
- ML model integration
- API integrations
- Voice UI implementation
04
Pilot & Scale
6 weeks- 500-farmer pilot
- Feedback iteration
- Cooperative training
- Play Store launch
Challenges
- Offline-first architecture with large data sync
- On-device ML for pest detection (TensorFlow Lite)
- Supporting 12 languages with RTL layouts
- Voice UI for low-literacy users
Results & Outcomes
- 10,000+ active farmers across 3 states
- 25% average income increase reported
- Featured in state agriculture department newsletter
- Integrated with PM-KISAN scheme database