Evaluating soil moisture status using an e-nose
Artykuł w czasopiśmie
MNiSW
30
Lista A
| Status: | |
| Autorzy: | Bieganowski Andrzej, Jaromin-Gleń Katarzyna, Guz Łukasz, Łagód Grzegorz, Józefaciuk Grzegorz, Franus Wojciech, Suchorab Zbigniew, Sobczuk Henryk |
| Rok wydania: | 2016 |
| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 6 |
| Wolumen/Tom: | 16 |
| Numer artykułu: | 886 |
| Impact Factor: | 2,677 |
| Web of Science® Times Cited: | 34 |
| Scopus® Cytowania: | 40 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Abstrakty: | angielski |
| 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. |
