Design and Optimization of a Bio-Composter System Using Genetic Algorithm

Joshua Vivern Decano; Channon Jude Dominquez; Trisia Ann Luna; Abraham  Macayan Jr; Locerlie B Taclan; Melquiades B Garinno; Elmer Joaquin; Edwin Balila; Melvin Valdez; Jonalyn Castano

doi:10.35974/isc.v11i5.3581

Authors

Joshua Vivern Decano
Channon Jude Dominquez Adventist University of the Philippines
Trisia Ann Luna Adventist University of the Philippines
Abraham Macayan Jr Adventist University of the Philippines
Locerlie B Taclan Adventist University of the Philippines
Melquiades B Garinno Adventist University of the Philippines
Elmer Joaquin
Edwin Balila
Melvin Valdez
Jonalyn Castano Adventist University of the Philippines

https://doi.org/10.35974/isc.v11i5.3581

Keywords:

Genetic algorithm, NPK, Optimization, Composter, Fertilizer

Abstract

The Philippine agricultural sector's reliance on costly imported chemical fertilizers creates economic burdens and compromises long-term sustainability. To address this, organic composting provides a local, eco-friendly alternative, but its success relies on achieving consistent, high-quality compost. This study aimed to design and construct a small-scale composter system that utilizes Genetic Algorithm in the quality optimization of composter operational parameters and integrate monitoring and remote capabilities. The study specifically aimed to develop an optimization model using a genetic algorithm to a) to determine the best composter operational parameters for each compost material (soy pulp, vegetable peelings, coffee grounds) and b) to maximize composting efficiency, minimize resource usage and enhance overall sustainability of the system. The resulting NPK values of each compost material were compared to the commercialized fertilizer. The genetic algorithm achieved realistic results in determining the best composter operational parameters for each compost material with the given target NPK(Nitrogen, Phosphorus, Potassium) values. Findings demonstrated that increased runtime significantly improves compost quality, while optimal rotation speed yields diminishing returns beyond a certain threshold. Composter system software also provided ease of use through an interface for composter control and monitoring systems. To further improve the system, integration of advanced automation and upgrading the motor power capabilities are recommended.

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