Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Can Plants Sense Humans? - Using Plants as Biosensors to Detect the Presence of Eurythmic Gestures

Version 1 : Received: 4 July 2023 / Approved: 5 July 2023 / Online: 6 July 2023 (10:13:44 CEST)

A peer-reviewed article of this Preprint also exists.

Cal, L.; Gloor, P.A.; Weinbeer, M. Can Plants Sense Humans? Using Plants as Biosensors to Detect the Presence of Eurythmic Gestures. Sensors 2023, 23, 6971. Cal, L.; Gloor, P.A.; Weinbeer, M. Can Plants Sense Humans? Using Plants as Biosensors to Detect the Presence of Eurythmic Gestures. Sensors 2023, 23, 6971.

Abstract

This paper describes preliminary results of measuring the impact of human body movements on plants. In particular, we analyze the influence of eurythmic gestures of human actors on lettuce and beans. In an eight week experiment, we exposed rows of lettuce and beans to weekly eurythmic movements (similar to Qi Gong) of a eurythmist, while at the same time measuring changes in voltage between the roots and leaves of lettuce and beans using the plant spikerbox (https://backyardbrains.com/products/plantspikerbox). We compared this experimental group of vegetables with a control group of vegetables whose voltage differential was also measured while never being exposed to eurythmy. Using t-tests, we found a clear difference between the experimental and the control group which was also verified with a machine learning model. In other words, the vegetables showed a noticeably different pattern in electric potentials in response to eurythmic gestures.

Keywords

Biosensors; Machine-Learning; Motion detection; Plant-Human interaction

Subject

Computer Science and Mathematics, Mathematical and Computational Biology

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