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Using Radar Chart Areas to Evaluate the Sensitivity of Electronic Nose Sensors in Detecting Water Stress in Soybean

Authors:
Paulo S P Herrmann
Matheus Santos Lucas

Keywords: Radar charts; Electronic nose; Soybean; Water stress; Sensor sensitivity; Volatile organic compounds; Plant monitoring; Precision agriculture.

Abstract:
Water stress significantly limits soybean (Glycine max L.) productivity worldwide. Early water stress detection is crucial for implementing timely irrigation strategies to mitigate its adverse effects. Electronic noses (E-Noses), equipped with sensor arrays that detect volatile organic compounds (VOCs) emitted by plants, offer a non-invasive approach to monitoring plant health. This study proposes using radar chart areas as a novel method to evaluate the sensitivity of e-nose sensors in detecting water stress in soybeans. By converting multivariate sensor responses into radar charts, we quantitatively assess sensor performance and identify the most responsive sensors to water stress-induced VOC changes. The results demonstrate that radar chart areas provide a comprehensive metric for sensor sensitivity, enhancing the effectiveness of e-noses in agricultural applications.

Pages: 15 to 18

Copyright: Copyright (c) IARIA, 2025

Publication date: May 18, 2025

Published in: conference

ISSN: 2519-836X

ISBN: 978-1-68558-273-9

Location: Nice, France

Dates: from May 18, 2025 to May 22, 2025