Sun Sieving: Automated Solar-Powered Extraction of Solanum Lycopersicum (Tomato) Seed, Pulp, and Juice Using Arduino Microcontroller
DOI:
https://doi.org/10.54536/jgesd.v1i2.5009Keywords:
Arduino-Based Quality Control, Renewable Energy in Food Technology, Solar-Powered Agriculture, Sustainable Juice Extraction, Tomato Processing AutomationAbstract
This paper presents a novel method by developing the Sun Sieving system, which integrates solar energy with automated control technology to enhance the extraction of components from Solanum Lycopersicum (tomato). The system addresses two significant challenges in agriculture: enhancing the efficiency of factory farming and promoting sustainable practices. This research aims to implement automation and renewable energy technologies to replace energy-intensive, labor-heavy methods while ensuring high quality in tomato processing. It employed a developmental design focusing on the development and manufacturing part of Sun Sieving, an Arduino Uno-based solar powered extraction machine. Using a microcontroller allows for everything from pH monitoring to UV sterilization in order keep the juice extracted from disease or pest free. This design allows seeds, pulp and juice to be separated efficiently while waste is kept to a minimum. The automated functionality of the system was validated over many experiments, in which UV light sensor was turned off whenever at least there is no power and turn-on upon detection that leads to elongated shelf life. The system maintained a consistent pH range of 4.0 to 4.5, thereby optimizing flavor profile and ensuring food safety standards. This step, including seed removal and processing of the pulp yielded a consistent volume of 1.3L each time. Sun Sieving has a highly effective system which confirms juice quality and has been developed as micro-scale devices. It shows that the implementation of new technologies and solar energy can greatly improve product quality. This system focuses on automation and sustainable solutions and tackles existing problems in food processing, delivering profound insights, innovation and evolution in the field.
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Copyright (c) 2025 Alan P. Nebrida, Mae Joy U. Pilde, Lealyn V. Madayag, Renato Allen S. Bungubung, Klemens Von A. Almeniana, John John B. Billo Jr., Joan M. Nebrida
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