Abstract

Food waste and loss present significant challenges worldwide, particularly in the Philippines, where postharvest losses in the mango industry remain prevalent despite government initiatives. In addressing the pressing issue, studies revealed tactile sensors aid in nondestructively and precisely detecting fruit ripeness. Hence, the study focuses on developing a tactile sensor prototype for early detection and segregation of unripe, partially ripe, and ripe Carabao mangoes (Mangifera indica), aiming to reduce waste in the community. Unlike prior methods relying on visual cues, this sensor focuses on stiffness for more accurate detection. To guarantee its accuracy and acceptability, both experts and end users assessed the prototype and provided insights on its overall functionality. The study hypothesized no significant difference in mean values among ripeness categories or between evaluations by experts and end users. In line with this, the researchers employed a mixed methods approach, utilizing both quantitative and qualitative data, including the use of a 4-point Likert scale and interview questions to the participants of the study chosen by a purposive sampling technique. Overall, end users and experts firmly agreed on the mango tactile sensor's accuracy and acceptance, showing and suggesting that the sensor prototype was useful in categorizing mangoes based on stiffness. Consequently, the findings of this study could revolutionize mango surplus management, potentially reducing waste and mitigating economic losses for local farmers.

Keywords: tactile sensor, mangoes, Mangifera indica, piezoresistive, Arduin