Field Evaluation of an IoT-VFD Smart Ventilation System for Energy-Efficient Rice Seed Storage

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Authors: Hendra Yufit Riskiawan, Saiful Anwar, Dwi Putro Sarwo Setyohadi, Syamsul Arifin, Beni Widiawan, Annisa Nurul Hidayati Jannah, Akas Bagus Setiawan
Cited by: 1

Abstract

Stable storage conditions are required in Rice Seed Storage to preserve seed quality and suppress fungal contamination, yet many warehouse ventilation systems still rely on inefficient on-off operation with limited responsiveness to changing temperature and humidity conditions. This study addresses the lack of integrated IoT-VFD control with field-validated energy and microclimate performance in seed warehouses. It proposes an IoT-based Ventilation Control architecture that combines ESP32, MQTT communication, and a Variable Frequency Drive to regulate a three-phase exhaust fan in both offline and online operating modes. The novelty of this work lies in integrating variable-speed control, real-time supervision, and field-based performance validation within a single seed warehouse deployment. The prototype was implemented in a 900 m3 warehouse at Politeknik Negeri Jember and evaluated through a 7-day field trial with continuous monitoring of temperature, humidity, and motor speed. The controlled system brought warehouse conditions closer to the intended storage setpoints and produced statistically significant improvements in both temperature and humidity (p < 0.001). Control performance was stable, with high target-hit accuracy and low RMSE, while energy testing showed lower electricity consumption than conventional non-VFD operation. Over an equivalent 2-hour operating period, energy use was reduced by 30.4%. The system also maintained 99.64% MQTT uptime, and no mold incidence was observed during controlled operation. These findings indicate that the proposed IoT-VFD architecture is a practical approach for improving microclimate stability, reducing energy use, and supporting fungus-preventive seed warehouse management.

Fields of Study & Subjects

Smart Agriculture and AI Food Supply Chain Traceability Greenhouse Technology and Climate Control

Publication details

Journal / source
SinkrOn
Publisher
Politeknik Ganesha
Volume
10
Issue
2
Pages
1025–1037
Publication date
2 April 2026