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dc.contributor.authorde la Cal, Luis
dc.contributor.authorGloor, Peter A.
dc.contributor.authorWeinbeer, Moritz
dc.date.accessioned2023-09-08T13:07:05Z
dc.date.available2023-09-08T13:07:05Z
dc.date.issued2023-08-05
dc.identifier.urihttps://hdl.handle.net/1721.1/152037
dc.description.abstractThis 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.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/s23156971en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleCan Plants Sense Humans? Using Plants as Biosensors to Detect the Presence of Eurythmic Gesturesen_US
dc.typeArticleen_US
dc.identifier.citationSensors 23 (15): 6971 (2023)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Collective Intelligence
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-08-11T14:33:35Z
dspace.date.submission2023-08-11T14:33:35Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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