Evaluating Soil Moisture Status Using an e-Nose

The possibility of distinguishing different soil moisture levels by electronic nose (e-nose) was studied. Ten arable soils of various types were investigated. The measurements were performed for air-dry (AD) soils stored for one year, then moistened to field water capacity and finally dried within a...

Full description

Bibliographic Details
Main Authors: Andrzej Bieganowski, Katarzyna Jaromin-Glen, Łukasz Guz, Grzegorz Łagód, Grzegorz Jozefaciuk, Wojciech Franus, Zbigniew Suchorab, Henryk Sobczuk
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/6/886
_version_ 1811304318558535680
author Andrzej Bieganowski
Katarzyna Jaromin-Glen
Łukasz Guz
Grzegorz Łagód
Grzegorz Jozefaciuk
Wojciech Franus
Zbigniew Suchorab
Henryk Sobczuk
author_facet Andrzej Bieganowski
Katarzyna Jaromin-Glen
Łukasz Guz
Grzegorz Łagód
Grzegorz Jozefaciuk
Wojciech Franus
Zbigniew Suchorab
Henryk Sobczuk
author_sort Andrzej Bieganowski
collection DOAJ
description The possibility of distinguishing different soil moisture levels by electronic nose (e-nose) was studied. Ten arable soils of various types were investigated. The measurements were performed for air-dry (AD) soils stored for one year, then moistened to field water capacity and finally dried within a period of 180 days. The volatile fingerprints changed during the course of drying. At the end of the drying cycle, the fingerprints were similar to those of the initial AD soils. Principal component analysis (PCA) and artificial neural network (ANN) analysis showed that e-nose results can be used to distinguish soil moisture. It was also shown that different soils can give different e-nose signals at the same moistures.
first_indexed 2024-04-13T08:03:57Z
format Article
id doaj.art-be11790e08b14487a79408707bae6a11
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-13T08:03:57Z
publishDate 2016-06-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-be11790e08b14487a79408707bae6a112022-12-22T02:55:13ZengMDPI AGSensors1424-82202016-06-0116688610.3390/s16060886s16060886Evaluating Soil Moisture Status Using an e-NoseAndrzej Bieganowski0Katarzyna Jaromin-Glen1Łukasz Guz2Grzegorz Łagód3Grzegorz Jozefaciuk4Wojciech Franus5Zbigniew Suchorab6Henryk Sobczuk7Institute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, PolandInstitute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, PolandFaculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, PolandFaculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, PolandInstitute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, PolandFaculty of Civil Engineering and Architecture, Lublin University of Technology, Nadbystrzycka 40 Str., Lublin 20-618, PolandFaculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, PolandFaculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, PolandThe possibility of distinguishing different soil moisture levels by electronic nose (e-nose) was studied. Ten arable soils of various types were investigated. The measurements were performed for air-dry (AD) soils stored for one year, then moistened to field water capacity and finally dried within a period of 180 days. The volatile fingerprints changed during the course of drying. At the end of the drying cycle, the fingerprints were similar to those of the initial AD soils. Principal component analysis (PCA) and artificial neural network (ANN) analysis showed that e-nose results can be used to distinguish soil moisture. It was also shown that different soils can give different e-nose signals at the same moistures.http://www.mdpi.com/1424-8220/16/6/886e-nosehumiditymetrologysmellsoilwater
spellingShingle Andrzej Bieganowski
Katarzyna Jaromin-Glen
Łukasz Guz
Grzegorz Łagód
Grzegorz Jozefaciuk
Wojciech Franus
Zbigniew Suchorab
Henryk Sobczuk
Evaluating Soil Moisture Status Using an e-Nose
Sensors
e-nose
humidity
metrology
smell
soil
water
title Evaluating Soil Moisture Status Using an e-Nose
title_full Evaluating Soil Moisture Status Using an e-Nose
title_fullStr Evaluating Soil Moisture Status Using an e-Nose
title_full_unstemmed Evaluating Soil Moisture Status Using an e-Nose
title_short Evaluating Soil Moisture Status Using an e-Nose
title_sort evaluating soil moisture status using an e nose
topic e-nose
humidity
metrology
smell
soil
water
url http://www.mdpi.com/1424-8220/16/6/886
work_keys_str_mv AT andrzejbieganowski evaluatingsoilmoisturestatususinganenose
AT katarzynajarominglen evaluatingsoilmoisturestatususinganenose
AT łukaszguz evaluatingsoilmoisturestatususinganenose
AT grzegorzłagod evaluatingsoilmoisturestatususinganenose
AT grzegorzjozefaciuk evaluatingsoilmoisturestatususinganenose
AT wojciechfranus evaluatingsoilmoisturestatususinganenose
AT zbigniewsuchorab evaluatingsoilmoisturestatususinganenose
AT henryksobczuk evaluatingsoilmoisturestatususinganenose