APA   Click to copy
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   Click to copy
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   Click to copy
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.

@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.}
}