Inspiration
The idea of EcoSoil started when we noticed the harmful effects of chemical fertilizers and pesticides on soil and the environment. We decided to develop a smart application that analyzes soil images and collects input from farmers—such as fertilizer type and soil pH—to improve assessment accuracy.
What it does
An AI-powered app that analyzes the impact of chemical fertilizers and pesticides on soil health and fertility through imaging, prediction, recommendations, weather-based insights, reports, authority integration, chatbot, FAQ library, and alerts.
How we built it
We built EcoSoil by combining AI-powered image analysis with environmental data inputs such as fertilizer type and soil pH. We trained the model on labeled soil samples, designed a user-friendly interface for farmers, integrated real-time alerts and recommendations, and linked the system with expert databases and governmental platforms for reporting and validation.
Challenges we ran into
- One challenge was collecting accurate and diverse soil data for AI training.
- We also struggled to design a simple interface suitable for farmers with varying tech skills.
- Finally, integrating real-time alerts with official platforms required complex coordination.
Accomplishments that we're proud of
- Developed a working AI model that analyzes soil images accurately.
- Built a user-friendly prototype tested with real farmers.
- Created partnerships with environmental experts and local advisors.
What we learned
- We learned how to apply AI in agriculture to analyze and predict soil health risks.
- We discovered the importance of user-centered design for non-technical users.
- We gained experience in coordinating with experts and official entities for validation.
What's next for EcoSoil
- Expanding the soil database with more diverse regional samples.
- Adding satellite data integration to enhance environmental analysis.
- Partnering with agricultural ministries to scale impact and adoption.
Built With
- ai
- amazon-web-services
- azure
- chatbot
- computervision
- dart
- earthengine
- fastapi
- firebase
- flutter
- gcp
- google-maps
- iot
- javascript
- machine-learning
- mongodb
- opencv
- openweathermap
- postgresql
- python
- restfulapis
- sql
- tensorflow
- twilio
Log in or sign up for Devpost to join the conversation.