Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification

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Mohamed M. Farag, Ahmed Emam, Johannes Leonhardt, Ribana Roscher

Published: 01 Jan 2025, Last Modified: 09 Oct 2025Comput. Electron. Agric. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Macro and Micro Analysis: Ablation study reveals CP’s strengths in diverse agricultural tasks.•Diagnostic Tool: CP offers calibrated uncertainty and insights into data and model quality.•Comparative Study: CP has acceptable performance in distributional shifts but faces challenges in OoD detection.•Future Research Directions: Proposes ways to enhance CP’s utility for broader agricultural scenarios.•Empowering Agriculture: CP delivers interpretable, efficient models for informed farming decisions.