AI-Powered Agricultural Analytics Platform
We created a comprehensive AI-driven agricultural analytics platform aimed at assisting farmers and land managers in making informed decisions based on satellite imagery and real-time environmental data. The system features a contemporary React frontend paired with a strong ASP.NET Core backend, ensuring a fast, scalable, and user-friendly experience. It offers both a public interface and a powerful admin dashboard to oversee land parcels, users, and analytics. A standout component of the platform is its integration with satellite data, which facilitates sophisticated vegetation analysis using indices like NDVI, NDRE, and EVI, among others. Users can track crop health, identify stress factors, and visualize changes over time using an interactive GIS map. Additionally, the platform provides real-time weather information and AI-driven analytics powered by Python, enabling predictive insights and automated recommendations to enhance agricultural performance and mitigate operational risks. Designed with scalability and performance as priorities, the system effectively manages large datasets and provides precise insights, making it ideal for ongoing use in modern smart farming setups. Technologies utilized include React, TypeScript, ASP.NET Core, Python, GIS Mapping, Satellite Data Processing, and REST APIs.