2024
DOI: 10.1002/for.3113
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Forecasting agricultures security indices: Evidence from transformers method

Ammouri Bilel

Abstract: In recent years, ensuring food security has become a global concern, necessitating accurate forecasting of agriculture security to aid in policymaking and resource allocation. This article proposes the utilization of transformers, a powerful deep learning technique, for predicting the Agriculture Security Index ( ). The is a comprehensive metric that evaluates the stability and resilience of agricultural systems. By harnessing the temporal dependencies and complex patterns present in historical data, trans… Show more

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