Exploring the Potential of Barangay Calawisan, Lapu-Lapu City for Sustainable Aquafarming: Developing a Regression Model to Enhance Sea Grape (Caulerpa lentillifera) Yield in a Closed System Environment

Abstract This study aims to develop a regression model to optimize sea grape (Caulerpa lentillifera) yield in a controlled farming environment in Barangay Calawisan, Lapu-Lapu City, Philippines. Using secondary data extracted from a 2020 study, the research addresses challenges such as limited coastal farming space and environmental constraints by exploring closed-container aquafarming as an innovative solution. A multiple linear regression analysis identifies key growth factors—light intensity, ammonia nitrogen (NH₃-N), nitrite nitrogen (NO₂-N), and nitrate nitrogen (NO₃-N)—that significantly enhance algal productivity. The findings indicate that increased light intensity and nitrogen levels positively correlate with improved sea grape yield, suggesting actionable strategies for optimizing aquafarming practices. Additionally, the study introduces an Excel-based tool that enables farmers to predict sea grape yields under various conditions, providing a resource for effective farm management. Through promoting sustainable farming practices, this research aligns with national goals for urban agriculture and food security and positions Lapu-Lapu City as a leader in innovative aquafarming. Future research could further refine this model, offering valuable insights into scaling sustainable agricultural practices in similar regions. Keywords: Sea Grapes, Aquafarming, Regression Model, Sustainable Agriculture