AI-Powered Rice Leaf NPK Deficiency Detector
Unlock the potential of precision agriculture with XR Vision, a cutting-edge Expo React Native app designed to analyze NPK deficiencies in rice leaves.
- Quick Overview: View a preview of past analysis results.
- Statistics: See the total count of analyzed results for a snapshot of your field's health.
- Capture or Import:
- Use your device camera to capture rice leaf images directly.
- Alternatively, import images from your gallery for quick analysis.
- Detailed Analysis: View all results, including NPK deficiency status and confidence levels.
- Track History: Keep a record of your analysis for future reference.
- Login & Sync:
- Securely log in to manage your account.
- Sync your data across devices for seamless access.
- Framework: Expo (React Native)
- State Management: Legend State
- Backend: Supabase
- Database: MMKV Storage with Legend State
- AI-Powered Precision: Leverages advanced models to accurately detect nitrogen (N), phosphorus (P), and potassium (K) deficiencies.
- User-Friendly: Intuitive interface designed for quick navigation.
- Data Security: Accounts feature ensures your data is safe and synced.
- Offline Capability: Analyze and store results offline, perfect for fieldwork.