Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning.

ABSTRACT: Living organisms have evolved complex signaling networks to drive appropriate physiological processes in response to changing environmental conditions. Amongst them, electric signals are a universal method to rapidly transmit information. In animals, bioelectrical activity measurements in the heart or the brain provide information about health status. In plants, practical measurements of bioelectrical activity are in their infancy and transposition of technology used in human medicine could therefore, by analogy provide insight about the physiological status of plants. This paper reports on the development and testing of an innovative electrophysiological sensor that can be used in greenhouse production conditions, without a Faraday cage, enabling real-time electric signal measurements. Th

SUBMITTER: Tran D 

PROVIDER: S-EPMC6864072 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature