The study aims to investigate IoT integration for smart agriculture by identifying and ranking significant factors impacting IoT adoption. It emphasizes the importance of prioritizing factors in order to ensure optimal implementation. The study uses the MCDM approach of the Weighted Aggregated Sum Product Assessment (WASPAS) to comprehensively analyze thirteen key factors, crucial for the efficient integration of IoT in smart agriculture, identified through literature review. Data was collected on a 5-point ranking scale from farmers, government experts, research, and academicians. The findings suggest that skill shortages and high capital investment costs are significant barriers to IoT implementation in this context. Addressing these barriers is critical to promoting widespread adoption, emphasizing the need to close skill shortages and investigate cost-effective alternatives along with other identified factors. The study's findings offer practical recommendations for stakeholders, policymakers, and agricultural practitioners, enabling them to overcome barriers and accelerate the integration of IoT technologies into agricultural practices, ultimately improving efficiency and sustainability in food production.