| dc.contributor.author | de la Cal, Luis | |
| dc.contributor.author | Gloor, Peter A. | |
| dc.contributor.author | Weinbeer, Moritz | |
| dc.date.accessioned | 2023-09-08T13:07:05Z | |
| dc.date.available | 2023-09-08T13:07:05Z | |
| dc.date.issued | 2023-08-05 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/152037 | |
| dc.description.abstract | 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 <i>t</i>-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. | en_US |
| dc.publisher | Multidisciplinary Digital Publishing Institute | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.3390/s23156971 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Multidisciplinary Digital Publishing Institute | en_US |
| dc.title | Can Plants Sense Humans? Using Plants as Biosensors to Detect the Presence of Eurythmic Gestures | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Sensors 23 (15): 6971 (2023) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Center for Collective Intelligence | |
| dc.identifier.mitlicense | PUBLISHER_CC | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2023-08-11T14:33:35Z | |
| dspace.date.submission | 2023-08-11T14:33:35Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |