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Sensors 2016, 16(6), 886; doi:10.3390/s16060886

Evaluating Soil Moisture Status Using an e-Nose

1
Institute of Agrophysics, Polish Academy of Sciences, Doswiadczalna 4 Str., Lublin 20-290, Poland
2
Faculty of Environmental Engineering, Lublin University of Technology, Nadbystrzycka 40B Str., Lublin 20-618, Poland
3
Faculty of Civil Engineering and Architecture, Lublin University of Technology, Nadbystrzycka 40 Str., Lublin 20-618, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Carmen Horrillo Güemes
Received: 16 March 2016 / Revised: 1 June 2016 / Accepted: 8 June 2016 / Published: 22 June 2016
(This article belongs to the Special Issue E-noses: Sensors and Applications)
View Full-Text   |   Download PDF [1461 KB, uploaded 22 June 2016]   |  

Abstract

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. View Full-Text
Keywords: e-nose; humidity; metrology; smell; soil; water e-nose; humidity; metrology; smell; soil; water
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bieganowski, A.; Jaromin-Glen, K.; Guz, Ł.; Łagód, G.; Jozefaciuk, G.; Franus, W.; Suchorab, Z.; Sobczuk, H. Evaluating Soil Moisture Status Using an e-Nose. Sensors 2016, 16, 886.

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