Smart Farming: AI-Powered Yield Prediction for AgriGrow

AgriGrow Farms sought to enhance their crop management by leveraging AI for more accurate yield predictions and optimized resource use. Traditional methods were proving insufficient for large-scale operations.

AI Booster's Launchpad program helped them develop a tailored AI solution.

• Inaccurate manual yield estimations leading to waste.
• Inefficient use of water and fertilizers.
• Lack of real-time insights into crop health across vast areas.

We developed an AI model that integrates satellite imagery, weather data, and soil sensor readings to predict crop yields. The solution included:

1. Data Fusion: Combining diverse data sources for a holistic view.
2. Predictive Modeling: Using machine learning to forecast yields with high accuracy.
3. Resource Optimization: Providing recommendations for irrigation and fertilization based on predictions.

• 15% improvement in crop yield prediction accuracy.
• 10% reduction in water and fertilizer usage.
• Enabled proactive decision-making for harvesting and resource allocation.