MIT Center for Collective Intelligence, Cambridge, MA 02142, USA.
Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, UPM Technical University of Madrid, 28031 Madrid, Spain.
Sensors (Basel). 2023 Aug 5;23(15):6971. doi: 10.3390/s23156971.
This paper describes the preliminary results of measuring the impact of human body movements on plants. The scope of this project is to investigate if a plant perceives human activity in its vicinity. 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. We compared this experimental group of vegetables to a control group of vegetables whose voltage differential was also measured while not being exposed to eurythmy. We placed a plant spikerbox connected to lettuce or beans in the vegetable plot while the eurythmist was performing their gestures about 2 m away; a second spikerbox was connected to a control plant 20 m away. Using -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.
本文描述了测量人体运动对植物影响的初步结果。本项目旨在研究植物是否能感知其附近的人类活动。具体而言，我们分析了人类演员的韵律运动对生菜和豆类的影响。在一个为期八周的实验中，我们每周让生菜和豆类暴露在韵律学家的韵律运动（类似于气功）下，同时使用植物 spikes 盒测量生菜和豆类的根部和叶片之间的电压变化。我们将这组实验蔬菜与对照组蔬菜进行比较，对照组蔬菜的电压差也在没有暴露于韵律运动的情况下进行了测量。当韵律学家在大约 2 米外表演他们的动作时，我们在菜地中放置了一个连接到生菜或豆类的植物 spikes 盒；第二个 spikes 盒连接到 20 米外的对照植物上。通过 t 检验，我们发现实验组和对照组之间存在明显差异，这也通过机器学习模型得到了验证。换句话说，蔬菜对韵律运动的反应表现出明显不同的电势能模式。
