Leveraging plant physiological dynamics using physical reservoir computing.
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ABSTRACT: Plants are complex organisms subject to variable environmental conditions, which influence their physiology and phenotype dynamically. We propose to interpret plants as reservoirs in physical reservoir computing. The physical reservoir computing paradigm originates from computer science; instead of relying on Boolean circuits to perform computations, any substrate that exhibits complex non-linear and temporal dynamics can serve as a computing element. Here, we present the first application of physical reservoir computing with plants. In addition to investigating classical benchmark tasks, we show that Fragaria × ananassa (strawberry) plants can solve environmental and eco-physiological tasks using only eight leaf thickness sensors. Although the results indicate that plants are not suitable
SUBMITTER: Pieters O
PROVIDER: S-EPMC9307625 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature
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