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

By Moosavizadeh-Mojarad R.   Sepaskhah A. R.  

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

Taylor & Francis Ltd

Access to resources Recommend Favorite

Predicting Total Acceptance of Ice Cream Using Artificial Neural Network

By  

JOURNAL OF FOOD PROCESSING AND PRESERVATION (ELECTRONIC), Vol. 38, Iss. 3, 2014-06 ,pp. : 1080-1088

John Wiley & Sons Inc

Access to resources Recommend Favorite

Bayesian methods for predicting LAI and soil water content

By Mansouri Majdi   Dumont Benjamin   Leemans Vincent   Destain Marie-France  

Precision Agriculture, Vol. 15, Iss. 2, 2014-04 ,pp. : 184-201

Springer Publishing Company

Access to resources Recommend Favorite

Artificial neural networks to model the production of blood protein hydrolysates for plant fertilisation

By  

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, Vol. 96, Iss. 1, 2016-01 ,pp. : 207-214

John Wiley & Sons Inc

Access to resources Recommend Favorite

Soil water-retention prediction from pedotransfer functions for some Indian soils

By Shwetha P.   Varija K.  

Archives of Agronomy and Soil Science, Vol. 59, Iss. 11, 2013-11 ,pp. : 1529-1543

Taylor & Francis Ltd

Access to resources Recommend Favorite