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