Adoption of Rice Crop Manager (RCM) Technology on Farm Productivity in Baybay City, Leyte: A Proposed Action Plan

This quantitative study assessed the adoption of Rice Crop Manager (RCM) technology and its impact on farm productivity among 247 farmers in Baybay City, Leyte, from 2017-2022, to propose an action plan. Utilizing survey questionnaires, data on socio-demographic, socio-cultural, and institutional factors, RCM utilization, and challenges were gathered and analyzed using descriptive statistics and Pearson correlation analysis. Findings reveal an aging farming population with basic education and predominantly smallholder tenants. While socio-demographic factors showed limited direct correlation, RCM utilization was strongly and significantly correlated with government initiatives (financial subsidies, trainings) and social influences (peer farmers, community leaders, extension officers), alongside consistent engagement in RCM farm management practices. Key challenges included difficulty in understanding the technology, high input costs, and limited access to devices. Farmers overwhelmingly agreed on the necessity of policy interventions, such as financial incentives, enhanced training, and improved access to technology. The study concludes that RCM adoption is primarily driven by comprehensive government support and strong social networks, and that addressing technological complexity and economic barriers, and ensuring sustained support, are crucial for wider uptake.