Time-Resolved Chemical Phenotyping of Whole Plant Roots with Printed Electrochemical Sensors and Machine Learning
P. Coatsworth, Y. Cotur, A. Naik, T. Asfour, A. Silva-Pinto Collins, S. Olenik, L. Gonzalez-Macia, T. Bozkurt, D.-Y. Chao, F. Güder
This paper introduces TETRIS, a real-time chemical phenotyping platform for monitoring root environment chemistry in plants, and uses machine learning to predict ion uptake rates.
bioRxiv · Mar 9, 2023 · PreprintBioengineering