Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/37597
Ash electrical conductivity prediction using univariate and multivariate models
Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
Author(s)
| Author | Affiliation |
|---|---|
Mataix-Solera, Jorge | University Miguel Hernández |
Cerda, Artemi | University of Valencia |
Úbeda, Xavier | University of Barcelona |
Keesstra, Saskia | Wageningen University |
Title [en]
Ash electrical conductivity prediction using univariate and multivariate models
Date Issued
| Date |
|---|
2015 |
Extent
p. 1
Is part of
Synergy in science : partnering for solutions : 2015 annual meeting, November 15-18 in Minneapolis [Elektroninis išteklius] / American Society of Agronomy, Crop Science Society of America and Soil Science Society of America. Madison, 2015.
Science / Art Area
Gamtos mokslai / Natural Sciences (N)
Field of Science
Fizinė geografija / Physical geography (N006)
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
eLABa
14372219
Coverage Spatial
Jungtinės Amerikos Valstijos / United States of America (US)
Language
Anglų / English (en)
Bibliographic Details
0