Context: Electric signals are a universal method to rapidly transmit information in living organisms In plants, electric signals have been studied for more than a century In animals, bioelectrical activity measurements in the heart (ECG) or the brain (EEG) provide information about people’s health status Objectives: Development and test an electrophysiological sensor for crops Enables real-time measurements of electric signals in production conditions, without a Faraday cage Supervised machine learning and automatic classification to detect biotic & abiotic crop stress
Tran Q. T. D., Camps C., Dutoit F., Najdenovska E., Mazza M., Raileanu L. E., Wallbridge N., Plummer C.
Smart nutrient management of soilless tomato in greenhouse using electrophysiology and machine learning.
In: Annual Biocontrol Industry Meeting - ABIM. 21.10., Congress Center Basel, Switzerland. 2019.
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Link: ABIM - 2019
Publikations-ID (Webcode): 42693 Per E-Mail versenden
