APA
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CHANTRE, G. R., BLANCO, A. M., FORCELLA, F., VAN ACKER, R. C., SABBATINI, M. R., & GONZALEZ-ANDUJAR, J. L. (2014). A comparative study between non-linear regression and artificial neural network approaches for modelling wild oat (Avena fatua) field emergence. The Journal of Agricultural Science, 152, 254–262. https://doi.org/ https://doi.org/10.1017/S0021859612001098
Chicago/Turabian
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CHANTRE, G. R., A. M. BLANCO, F. FORCELLA, R. C. VAN ACKER, M. R. SABBATINI, and J. L. GONZALEZ-ANDUJAR. “A Comparative Study between Non-Linear Regression and Artificial Neural Network Approaches for Modelling Wild Oat (Avena Fatua) Field Emergence.” The Journal of Agricultural Science 152 (2014): 254–262.
MLA
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CHANTRE, G. R., et al. “A Comparative Study between Non-Linear Regression and Artificial Neural Network Approaches for Modelling Wild Oat (Avena Fatua) Field Emergence.” The Journal of Agricultural Science, vol. 152, Cambridge University Press, 2014, pp. 254–62, doi: https://doi.org/10.1017/S0021859612001098.
BibTeX Click to copy
@article{chantre2014a,
title = {A comparative study between non-linear regression and artificial neural network approaches for modelling wild oat (Avena fatua) field emergence},
year = {2014},
journal = {The Journal of Agricultural Science},
pages = {254–262},
publisher = {Cambridge University Press},
volume = {152},
doi = { https://doi.org/10.1017/S0021859612001098},
author = {CHANTRE, G. R. and BLANCO, A. M. and FORCELLA, F. and VAN ACKER, R. C. and SABBATINI, M. R. and GONZALEZ-ANDUJAR, J. L.}
}