Analytics Platform for Morphometric Grow out and Production Condition of Mud Crabs of the Genus Scylla with K-Means

The traditional use of an electronic spreadsheet is poorly suited to operationalize and manage the visualization and analysis of datasets related to mud crab production in the Philippines because of the long process of constructing equations to produce the desired diagram. A mud crab-specific analytic platform is needed to accurately visualize and analyze the datasets that will eventually result in better and data-driven decision-making on the part of farmers and stakeholders. This paper introduces the design and development of a state-of-the-art Mud crab Analytics Platform (MAP) utilizing the K-means algorithm. A holistic system development approach was applied which consists of three phases namely; 1) capture, 2) consumption, and 3) integration and transformation. As a result, MAP was able to provide significant insights in terms of descriptive, predictive, and prescriptive analytics. This real-time and dynamic analytic platform may provide farmers and stakeholders a powerful means to conduct data analysis on a community level to obtain actionable insights.