AgroVision AI

Inspiration## Inspiration

Agriculture plays a vital role in our economy, yet many farmers still rely on traditional methods to monitor crop health and irrigation. We were inspired by the frequent crop losses caused by late disease detection and improper water usage. Seeing how technology can solve real-world problems motivated us to build a smart and sustainable farming solution.

What it does

AgroVision AI is an intelligent agriculture solution that helps farmers detect crop diseases at an early stage and manage irrigation efficiently. Farmers can upload crop leaf images to identify diseases using AI. The system also analyzes soil moisture and weather data to recommend optimal irrigation schedules.

How we built it

We built AgroVision AI using Artificial Intelligence and IoT concepts. A machine learning model is used for crop disease detection through image analysis. Soil moisture data is collected using sensors or simulated data. The backend processes this information along with weather data to generate accurate recommendations for farmers.

Challenges we faced

One of the main challenges was collecting and preparing quality datasets for crop disease detection. Integrating multiple components such as AI models, sensor data, and weather APIs was also challenging. Additionally, designing a simple and farmer-friendly system within a limited time frame required careful planning.

What we learned

Through this project, we gained hands-on experience in machine learning, data integration, and problem-solving. We learned how AI can be applied to agriculture to create impactful solutions. This project also helped us understand the importance of designing technology that is accessible and beneficial to real users.