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Title: PS ID 25263 | Farm-Level Yield Estimation Using Very-High Spatial Resolution Data & Robust Crop Models | Team Hexonic | SIH 2025

Description:

🌾 Project Overview:
In this project, our team Hexonic focuses on revolutionizing farm-level yield estimation using very-high spatial resolution satellite data combined with robust crop models. Traditional methods like manual Crop Cutting Experiments (CCEs) are time-consuming, error-prone, and inconsistent. Our system leverages advanced AI/ML techniques, remote sensing data, and IoT-enabled field monitoring to provide accurate, real-time yield predictions for farmers.

📊 Key Features:

🔹 High-Resolution Data Integration: Combines satellite, UAV, and sensor data for precise analysis.
🔹 Robust Crop Modeling: Uses advanced crop growth models for reliable yield estimation.
🔹 Farmer-Level Insights: Provides actionable insights to farmers for improving productivity.
🔹 Admin & Insurance Support: Streamlines data reporting for government agencies and insurance claim processing.
🔹 Smart Risk Management: Addresses gaps due to cloud cover, sensor failures, and connectivity issues using AI and IoT solutions.

🌱 Impact & Benefits:

✅ Increased crop yield estimation accuracy by over 10%
✅ Optimized usage of water, fertilizer, and pesticides
✅ Faster and more reliable insurance claim processing
✅ Data-driven support for farmers, administrators, and policy makers

💡 Technology Stack:

Satellite & UAV imagery
IoT field sensors
Machine Learning & Federated Learning models
Cloud-based analytics and dashboards

🌟 Team Hexonic @ SIH 2025:
We are proud to present this innovative solution at Smart India Hackathon 2025, aiming to empower farmers and improve agricultural productivity through technology.

📢 Follow & Support:
Stay tuned for more updates and demos on our solution. Your support can help bring technology to the field and create smarter farming!