DEVELOPMENT PLANTING AND HARVESTING SUGAR BEET CROP MACHINE.

A morphogenetic crop model for sugar-beet

This paper is the instructions for the proceeding of the International Symposium on Crop. Sugar beet crop models have rarely taken into account the morphogenetic process generating plant architecture despite the fact that plant architectural plasticity plays a key role during growth, especially under stress conditions. The objective of this paper is to develop this approach by applying the Gree...

Crop coefficient of sugar beet for isfahan region

Predictive Modular Neural Networks Methods forPrediction of Sugar Beet Crop

In this paper we present several multiple model combination methods, utilizing neural as well as linear predictors, to predict sugar beet crop yield. The results are superior to previous prediction methods which used only neural network or only linear regresison predictors. Abstract. Key Words.

A morphogenetic crop model for sugar-beet (Beta vulgaris L.)

This paper is the instructions for the proceeding of the International Symposium on Crop. Sugar beet crop models have rarely taken into account the morphogenetic process generating plant architecture despite the fact that plant architectural plasticity plays a key role during growth, especially under stress conditions. The objective of this paper is to develop this approach by applying the Gree...

Genetic and Genomic Tools to Asssist Sugar Beet Improvement: The Value of the Crop Wild Relatives

Sugar beet (Beta vulgaris L. ssp. vulgaris) is one of the most important European crops for both food and sugar production. Crop improvement has been developed to enhance productivity, sugar content or other breeder's desirable traits. The introgression of traits from Crop Wild Relatives (CWR) has been done essentially for lessening biotic stresses constraints, namely using Beta and Patellifoli...