The Challenge
Crop losses due to pest and disease outbreaks remain one of the biggest threats to food security. Traditional detection methods are reactive — by the time farmers notice symptoms, significant damage has already occurred.
The Solution
Space4Good partnered with Cropin to develop an AI-powered early warning system:
- Satellite-based monitoring of vegetation health indicators
- Machine learning models trained to detect early signs of pest/disease stress
- Automated alert system delivering advisories to farmers via mobile
- Integration with local weather data for risk prediction
The Results
- 2-3 weeks early detection before visible symptoms appear
- Up to 30% reduction in crop losses in pilot regions
- Cost-effective monitoring covering thousands of hectares
- Scalable model applicable to multiple crops and geographies

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