Cropwise
powered by syngenta
Abiotic stress risk

smarter crop decisions with Environmental stress intelligence

predictive environmental stress

A proactive risk management tool providing risk insights on environmental stress timing and severity to optimize pre-season crop planning and adapt in-season operational response.

Turn weather uncertainty into wise crop management

Weather variability creates unpredictable stress conditions that impact crop yields, the Abiotic Stress model transforms this uncertainty into actionable insights by quantifying climate stress risks with precision timing.

Risk based decision making

Quantified stress probabilities supporting data-driven planning

Real-time stress monitoring

Daily severity indices provide immediate awareness of crop stress conditions

Historical context transparency

Multi-year stress frequency patterns reveal optimal timing windows for critical operations.

Model Insights

Understand the field variability dimensions

Daily stress severity index

Real-time stress intensity monitoring for in-season management adjustments

Historical stress risk level

Frequency analysis projecting stress probability across the growing season timeline

Key Characteristics

Discover how the model can provide objective, scalable, and actionable field heterogeneity assessments.

Multi-stress detection

Quantifies various heat and cold stress types known to impact crop performance.

Probabilistic risk assessment

Statistical modeling of stress frequency based on historical weather patterns.

Crop-specific calibration

Tailored stress thresholds and algorithms for different crop species and growth stages.

Low-input scalability

Requires only location and crop to deliver insights, enabling usage from field level to regional overview.

Coming soon

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This service is not yet available but in our backlog, contact us if you are interested in using this service!

Documentation