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The review aims to bridge the gap between subseasonal-to-seasonal climate forecasts and their application in agricultural decision support systems.

June 12, 2026EngineeringOpen Access

Integrating Subseasonal-to-Seasonal Forecasts into Agricultural Decision Support Systems: A Critical Review and Research Agenda

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Critical review identifies gaps in agricultural decision support systems and proposes enhancements for climate resilience.

The review aims to bridge the gap between subseasonal-to-seasonal climate forecasts and their application in agricultural decision support systems.
Critical examination of the current state of agricultural decision support systems.
Analysis of methodologies for integrating subseasonal-to-seasonal forecasts, including downscaling and bias correction.
Evaluation of strategies for enhancing usability and adoption through participatory design and coproduction.
Current agricultural decision support systems primarily rely on historical data for operational and strategic planning.
There is a significant need to incorporate operational subseasonal-to-seasonal forecasts to protect farmers from climate anomalies.
Future agricultural decision support systems must enable interactive, uncertainty-aware decision-making through advanced technologies.

Xin-Zhong Liang (2026) studied this question.

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