Comparison of artificial neural networks, geographically weighted regression and Cokriging methods for predicting the spatial distribution of soil macronutrients (N, P, and K)
Crossref DOI link: https://doi.org/10.1007/s11769-017-0906-6
Published Online: 2017-09-08
Published Print: 2017-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Emamgholizadeh, Samad
Shahsavani, Shahin
Eslami, Mohamad Amin
License valid from 2017-09-08