Predicting biomass and grain protein content using Bayesian methods
نویسندگان
چکیده
منابع مشابه
Predicting Biomass and Grain Protein Content Using Bayesian Methods
This paper deals with the problem of predicting biomass and grain protein content using Improved Particle Filtering (IPF) based on minimizing Kullback-Leibler divergence. The performances of improved particle filtering are compared with those of the conventional Particle Filtering (PF) in two comparative studies. In the first one, we apply IPF and PF at a simple dynamic crop model with the aim ...
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ژورنال
عنوان ژورنال: Stochastic Environmental Research and Risk Assessment
سال: 2015
ISSN: 1436-3240,1436-3259
DOI: 10.1007/s00477-015-1038-0