Research Publication: Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming

A research team from the Smart Agriculture Research Center UGM has developed a plant health monitoring system based on plant electrical signals. This research proposes a new concept in monitoring plant health for indoor farming. Unlike spectral technologies that have limitations in plant health monitoring operations in indoor farming, this research focuses on the concept of plant physiology, namely plant electrical signals.

The designed system integrates Ag cable as electrodes to capture plant electrical signals. Low-pass filters and operational amplifiers are used for signal processing, while microcontrollers and data loggers handle data storage and analysis. Calibration for this system requires a function generator. Calibration results are analyzed using statistical methods such as MAPE. The system will apply various advanced analysis techniques such as time-domain, frequency-domain, and machine learning methods. The purpose of this analysis is to improve early detection of plant stress, thereby contributing to more efficient plant management in indoor farming systems. This monitoring system has the potential to improve plant health and support sustainable farming practices. The advantage of plant electrical signals in responding quickly to environmental changes becomes the first step to optimize plant growth by providing real-time monitoring and environmental recommendations.

This research publication is titled "Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming", presented at the 5th International Conference on Smart Agriculture and Innovation (ICoSIA 2024) held online on March 19, 2025. This research was conducted by Saifuddin Afif, Ardan Wiratmoko, Andri Prima Nugroho, Takashi Okayasu, and Lilik Sutiarso. The abstract can be accessed through DOI https://doi.org/10.1051/bioconf/202516705004.