| Title: | OS18-4 Prediction of Timing and Amount of Houseplants Watering by an Echo State Network on Jetson |
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| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 529-534 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS18-4 |
| Author(s): | Wataru Yoshimura, Koshun Arimura, Ryohei Kobayashi, Akinobu Mizutani, Tomoaki Fujino, Yuichiro Tanaka, Tomomi Sudo, Naoto Ishizuka, Keitaro Ito, Hakaru Tamukoh |
| Publication Date: | February 13, 2025 |
| Keywords: | Biophilic-design, Echo State Network, Edge device |
| Abstract: | Cultivating of houseplants in biophilic designed spaces requires appropriate timing and amount of watering. However, determining them is challenging, as fluctuations in ambient temperature can influence these factors. We develop a system capable of predicting ambient temperature changes and determining the appropriate timing and amount of watering. The system acquires ambient data using sensors connected to a Jetson Nano and processes the data using a neural network for the prediction and determination. We adopt an echo state network, a lightweight neural network, enabling a power-efficient system capable of running on edge devices. Additionally, we implement a function to notify the user of the timing and amount of watering via a chat service whenever the soil moisture content drops below a predefined threshold. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS18/OS18-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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