Optimizing Struvite Fertilizer Production: An IoT-Based Approach to Temperature Regulation and Process Automation

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Daffa Hirta Adharani, Maya Fitria, Ilham Maulana, Cut Nurul Faizah, Sarah Nada Jinan, Hendrik Leo, Hisbullah, Teuku Mukhriza, Rahmad Dawood

2025 ICONS-IoT 2025 - International Conference on Networking, Intelligent Systems, and IoT Conference paper Cited by 0 Quartile

Abstract

Struvite fertilizer production faces significant challenges in its drying process, particularly regarding operational efficiency and monitoring capabilities. This study develops an Internet of Things (IoT)-enabled drying system to address current limitations in laboratory-scale production. By integrating an ESP32 microcontroller with AWS IoT Core, the research introduces a dynamic drying mechanism featuring a motorized stainless steel beam and remote monitoring capabilities. The prototype employs an agile hardware development methodology, focusing on embedded control, software integration, and physical configuration. Comparative analysis revealed substantial improvements in processing efficiency, with drying time decreasing from 24 to 8 hours while maintaining consistent phosphate content (0.4573 mg/L to 0.5982 mg /L). The system enables realtime temperature regulation at 60° C, significantly lower than the conventional 105-108° C, and provides dual monitoring through a local LCD display and mobile application. The research contributes a novel approach to fertilizer processing by demonstrating how IoT technologies can enhance agricultural production systems' operational efficiency, remote monitoring, and process automation. © 2025 IEEE.

Affiliations

Universitas Syiah Kuala, Banda Aceh, Indonesia; Interactive Intelligent System Research Group, Universitas Syiah Kuala, Banda Aceh, Indonesia; Universitas Syiah Kuala, Banda Aceh, Indonesia

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