Farmers in resource-scarce settings struggle to attain optimal crop yields and sustainable agricultural practices due to factors such as climate change, limited access to inputs, and infrastructural shortcomings. Precision agriculture (PA), enabled by advances in drone technologies and artificial intelligence (AI), offers a promising chance to break these barriers by optimizing resource utilization and enhancing crop management. This paper explores the potential for the application of drone technology and AI to facilitate precision Agriculture in such resource-poor regions. We reflect on the evolution and application of drones and AI in agriculture, with specific regard to such particular tools as multispectral imaging and machine learning. The potential impact on resource-scarce communities is examined in terms of more accurate crop monitoring, more efficient use of resources, and support to agricultural research and extension services, with the assistance of relevant case studies. We also address the adoption barriers and challenges, including cost, accessibility, infrastructure limitations, technological literacy, and ethics. We then present future directions and recommendations, including potential technology innovations, policy propositions, how to surmount existing challenges, and the roles of various stakeholders, to unleash the transformational power of these technologies to foster productive and sustainable agriculture among resource-constrained farming communities.