Maximizing yield through predictive intelligence & remote sensing solutions

The Challenge

A global food and beverage major needed to significantly improve yield predictions and crop quality monitoring across thousands of contract farms. Legacy methods relied on manual field visits and historical averages, resulting in inaccurate supply forecasts.

The Solution

Cropin deployed its predictive intelligence engine combined with remote sensing capabilities:

• Multi-spectral satellite imagery for crop health monitoring at scale
• AI-based yield prediction models trained on 5 years of historical data
• Real-time alert system for crop stress, pest, and disease detection
• Integration with existing ERP systems for seamless data flow

The Results

• 35% improvement in yield prediction accuracy
• 20% reduction in field visit costs through remote monitoring
• Early detection of crop issues 2-3 weeks before visible symptoms
• Scalable model deployed across 15 countries