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Determining and Predicting Soil Chemistry with a Point-of-Use Sensor Toolkit and Machine Learning Model (2020)

First Author: Grell M

Attributed to: Paper-based "Zero-Cost" Printed Electroionic Gas Sensors funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2020.10.08.331371

Publication URI: http://dx.doi.org/10.1101/2020.10.08.331371

Type: Preprint