Cropin digitally transformed farm operations and enabled plot-level predictive intelligence to increase yield, predict diseases and improve operational efficiency.
Our client, one of North America’s largest food and beverage processing companies, aimed to maintain a steady flow of top-notch potatoes. Nevertheless, potato cultivation involves intricate and uncertain processes, with varying conditions and disease risks that can affect crop output and quality. To tackle these obstacles, they sought to digitize and oversee their farming practices, enabling them to access next-to-real-time updates on crop development, yield, and possible disease hazards.
How Cropin helped
The client adopted Cropin’s Plot-level Intelligence, a tool that allows them to oversee their potato crop value chain and valuable data on yield, crop health, and irrigation-related issues throughout multiple farms and regions in Asia. Plot-level Intelligence delivered detailed and practical insights at the plot level, aiding in the optimization of farm operations and profitability. It offered data on yield estimation, crop stage, crop health, harvest date prediction, and weather conditions. The solutions provided insights using field-tested AI/ML models:
- Canopy greenness index
- Canopy water stress
- Crop progression index
- Disease early warning system
Results
Cropin helped the client to achieve:
- 90% Weather prediction accuracy
- 87% Disease early warning system accuracy
- 87% Crop stage progression accuracy
- 84% Canopy greenness accuracy
- 80% Nitrogen uptake accuracy
- 80% Water stress identification accuracy