联合国粮农组织：2024探索人工智能在引发干旱预警行动中的应用报告：东帝汶案例研究（英文版）

This research describes the process of developing an agricultural drought-triggering methodology for anticipatory action (AA) within the context of Timor-Leste, an Indo-Pacific nation grappling with limited observation data. Drought is a severe and recurring natural hazard in Timor-Leste, significantly impacting livelihoods and exacerbating food insecurity due to the compounding effects of the climate crisis. This study provides a comprehensive understanding of the methodology’s development,