Comparison between rice grain yield predictions using artificial neural networks and a very simple model under different levels of water and nitrogen application

Author: Moosavizadeh-Mojarad R.   Sepaskhah A. R.  

Publisher: Taylor & Francis Ltd

ISSN: 0365-0340

Source: Archives of Agronomy and Soil Science, Vol.58, Iss.11, 2012-11, pp. : 1271-1282

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content