@inproceedings{4da70126cd5249f996c3b292f26ec7b4,
title = "Analysis and Characterization of a Moisture Sensor for South-American Wood Species",
abstract = "This article outlines the analysis and characterization of a moisture sensor designed specifically for wood species, including uncommon ones not found in Europe and North America. The profiling of these varieties has been devised to gauge the moisture levels within a wooden specimen through the utilization of a non-intrusive capacitance sensor, deriving values from the inherent dielectric characteristics of the material. Diverse wood species underwent thorough characterization, and a proposed multiple regression model aims to facilitate the precise calibration of the sensor concerning South American timber varieties and other uncommon species not found in Europe and North America.",
keywords = "Capacitance, Inter-digital sensor, Moisture, Multiple regression model, Wood",
author = "Mariel Avalos and Jorge Salazar and Guillermo Kemper and Carlos Raymundo and Cesar Cruz",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 9th International Congress on Information and Communication Technology, ICICT 2024 ; Conference date: 19-02-2024 Through 22-02-2024",
year = "2024",
doi = "10.1007/978-981-97-3305-7\_22",
language = "Ingl{\'e}s",
isbn = "9789819733040",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "273--282",
editor = "Xin-She Yang and Simon Sherratt and Nilanjan Dey and Amit Joshi",
booktitle = "Proceedings of 9th International Congress on Information and Communication Technology - ICICT 2024",
}