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The agriculture sector in Malaysia faces significant structural challenges, including uncertainties in farm ownership, labor shortages, low productivity, limited automation, and a heavy reliance on foreign labor, all contributing to the nation's food insecurity. In response, the Malaysian government is advocating for smart urban farming techniques, which, despite higher initial costs due to advanced technology and systems, promise to enhance productivity and sustainability. However, many communities urban farming initiatives are abandoned due to a lack of knowledge among practitioners. Understanding the comprehensive process from initial planning to harvesting and selling the produce is crucial. The crucial aspect is the collection of detailed data throughout this process. This paper employs the tranguilation method to identify effective smart urban farming practices. Utilizing the Delphi survey and case study approaches, the research aims to provide a thorough explanation of the methodologies used in data collection. By addressing these knowledge gaps and promoting informed practices, the study seeks to support the successful implementation of smart urban farming, thereby contributing to improved food security in Malaysia.