Akademik Veri Yönetim Sistemi
6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2024, İstanbul, Türkiye, 23 - 25 Mayıs 2024
In the realm of plants electropotential signals and remote plant's signal monitoring, this study focuses on the variations of surface electropotential and vibration of plant leaves. Given that signals obtained from plants are not as strong as the electromyogram signals of the human body, measuring these signals without introducing amplifier noise or filter time dispersion presents a significant challenge. To address this, we employ direct analog-to-digital conversion using high-resolution ADCs and a peak detection-based signal measurement technique with a high-frequency sampling rate to capture variations as accurately as possible. We developed a high-impedance electrode for long-term viability that neither physically affects the plant body nor interferes with plant signals due to its high impedance. Some signals are challenging to distinguish, whether they are the plant's own, from other branches, or received from other plants. In isolated environments where external interferences are minimized, we are able to distinguish between plant electropotentials and vibrations with clarity. Plants has a electrophysical response that it also has a reflection on physical vibrations because of its soft tissue piezo effect. In this study two plant vibration measurement methods are designed and comparatively tested. This methods has shown that there are significant difference between invasive and non invasive measurements.