Optimization of a Drone-Based System for Instrumental Odor Monitoring Using Feature Selection
Authors:
- Alessandro BenegiamoABAlessandro Benegiamo
- Javier BurguésJBJavier Burgués
- Javier Alonso-ValdesueiroJAJavier Alonso-Valdesueiro
- Beatrice Julia LotesoriereBLBeatrice Julia Lotesoriere
- Lara TerrénLTLara Terrén
- Lidia SaucoLSLidia Sauco
- Mª Deseada EsclapezMEMª Deseada Esclapez
- Silvia DoñateSDSilvia Doñate
- Agustín Gutiérrez-GálvezAGAgustín Gutiérrez-Gálvez
- Santiago MarcoSantiago Marco
Open Access
- 27 March 2024
- conference paper
- Published by MDPI AG in Proceedings
- Vol. 97 (1) , 109
Abstract
The application of Instrumental Odor Monitoring Systems (IOMS) for odor concentration estimation in wastewater treatment plants remains a challenge. We present the optimization of a heterogeneous gas sensor array mounted on a small drone to be used in dynamic conditions. The proposed method is based on the use of feature selection during the estimation of the best calibration model. The results show that the selection of an optimal sensor array and the proper time window decreases the multiplicative error a 25%.Keywords
Funding Information
- ATTRACT, a European Union Horizon 2020 research and innovation project (101004462, 2021 SGR 01393)
- Generalitat de Catalunya (101004462, 2021 SGR 01393)
- IBEC-CERCA (101004462, 2021 SGR 01393)
This publication has 3 references indexed in Scilit:
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- Aerial Mapping of Odorous Gases in a Wastewater Treatment Plant Using a Small DroneRemote Sensing, 2021
- Comparison of variable selection methods in partial least squares regressionJournal of Chemometrics, 2020