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The increasing severity of droughts, driven by climate change, presents a critical challenge to global agriculture, leading to significant crop losses, reduced productivity, and economic hardship for farming communities. This research focuses on enhancing the use of decision support tools (DSTs) in drought management by integrating adult learning principles. DSTs offer advanced, data-driven insights that can aid in optimizing agricultural practices, improving water management, and increasing resilience against droughts. However, their adoption is often limited by factors such as technical complexity, high costs, and resistance to moving away from traditional methods. This study aims to address these barriers by applying adult learning strategies-particularly experiential, self-directed, and collaborative learning; to help stakeholders, including farmers, agribusiness professionals, and government advisors, better engage with DSTs and integrate them into their decision-making processes. Using a mixed-methods approach, the research includes surveys and qualitative observations conducted during extension workshops to assess changes in participants' knowledge, attitudes, skills, and aspirations for practice change (KASAP). The outcomes of this study will provide insights into how adult learning principles can be leveraged to improve the effectiveness of DSTs, offering practical recommendations for increasing their adoption and use. Ultimately, this research will contribute to more sustainable and resilient agricultural practices, helping stakeholders manage drought risks more effectively.

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