AI for German Crop Prediction: Generalization and Attribution Analysis

The study's focus on generalization and feature attribution is crucial for understanding and trusting AI models in agriculture. Analyzing these aspects contributes to the broader adoption of AI for yield prediction and anomaly detection.

• •Focuses on a critical application of AI in agriculture: crop yield and anomaly prediction.
• •Investigates the generalizability of machine learning models across different contexts.
• •Employs feature attribution techniques to understand model decisions.