Papers: 10.3390/s21175868
https://doi.org/10.3390/s21175868
Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani
Cited by: 13
Author(s): Piotr Borowik, Ludwik Adamowicz, Rafał Tarakowski, Przemysław Wacławik, Tomasz Oszako, Sławomir Ślusarski, Miłosz Tkaczyk
Published: about 5 years ago
Software Mentions 1
pypi: scikit-learn
A set of python modules for machine learning and data miningPapers that mentioned: 2,431
Very Likely Science (100)