Coconut fruit maturity classification using fuzzy logic

• Main Authors: Javel, Irister M., Bandala, Argel A., Salvador, Rodolfo C., Bedruz, Rhen Anjerome R., Dadios, Elmer P., Vicerra, Ryan Rhay P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Coconut; Image analysis; Spectrum analysis; Fuzzy logic; Manufacturing; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2769
• Institution: De La Salle University

The coconut is one of the most useful trees in the world. Its fruit, with the scientific name cocos nucifera, is one of the major agricultural products of the Philippines. The coconut fruit depending on its maturity is used as a food or as a beverage. There are three stages of maturity namely: malauhog, malakanin, and malakatad. The classification into each stage may be based on the color and hardness of its shell so as the amount and tenderness of its meat. To categorize maturity stage, this paper uses fuzzy logic with color and sound as fuzzy inputs. Image color analysis for determining the percentage brown in the shell. Sound spectral analysis for relating the shell hardness and meat condition. Fuzzy inference system for evaluating the relationship of sound and color with the maturity of a coconut fruit. This study is able to simulate coconut fruit maturity classification system using a fuzzy logic approach. © 2018 IEEE.