Munbat is an application designed specifically for coffee farmers, researchers, and professionals in the fields of agriculture and environmental science. It aims to provide early detection of coffee plant diseases and pests through advanced technology, helping to protect coffee crops and support sustainable farming practices.
Coffee crops face a range of threats from diseases and pests, which can significantly impact yield and quality. Munbat uses AI and IoT to detect these issues at an early stage, giving farmers and researchers the tools they need to take preventive action.
- Early Detection: Munbat enables early identification of coffee plant diseases and pests, allowing for timely intervention.
- Real-Time Monitoring: Utilizes IoT sensors and AI to monitor coffee crops in real-time, providing actionable insights directly to users.
- User-Friendly Interface: Developed with an intuitive interface for farmers and researchers to easily access, understand, and act on crop health data.
- Flutter: For cross-platform mobile app development.
- Firebase: For secure, scalable cloud-based data storage and real-time database management.
- Internet of Things (IoT): Integration with IoT sensors for real-time monitoring and data collection.
- Artificial Intelligence (AI): Machine learning models to analyze data and detect potential crop health issues automatically.
Munbat is developed by a passionate team dedicated to supporting sustainable agriculture:
- Lujain Alharbi
- Riman Ba’iti
- Ahmed Hattan
- Haitham Hattan
