Results 21 to 30 of about 588,905 (213)
Grape Yield Prediction Models: Approaching Different Machine Learning Algorithms
Efficient marketing of winegrapes involves negotiating with potential buyers long before the harvest, when little is known about the expected vintage.
Caio Bustani Andrade +3 more
doaj +1 more source
The Effect of Sample Size and Data Numbering on Precision of Calibration Model to predict Soil Properties [PDF]
Introduction Precision agriculture (PA) is a technology that measures and manages within-field variability, such as physical and chemical properties of soil.
H Mohamadi-Monavar
doaj +1 more source
Quantification of Plant Root Species Composition in Peatlands Using FTIR Spectroscopy
Evidence of plant root biomass and production in peatlands at the level of species or plant functional type (PFT) is needed for defining ecosystem functioning and predicting its future development.
Petra Straková +8 more
doaj +1 more source
On the calibration of the 3/2 model [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gudmundsson, Hilmar, Vyncke, David
openaire +2 more sources
Robust algorithm for calibration of robotic manipulator model [PDF]
The paper focuses on the robust identification of geometrical and elastostatic parameters of robotic manipulator. The main attention is paid to the efficiency improvement of the identification algorithm.
ABBA, Gabriel +5 more
core +2 more sources
The aim of this study was to develop near-infrared spectroscopy (NIRS) prediction models for the estimation of chemical components and the fibre undegradable fractions (uNDF) of hay-based total mixed rations (TMR).
Giovanni Buonaiuto +6 more
doaj +1 more source
<p>This project provides software for the automated analysis of CMS jobs running on the GridKa WLCG site with the goal of computing model calibration parameters for Palladio performance models of the grid.</p ...
Maximilian Stemmer-Grabow +1 more
core +1 more source
TerraSAR-X Calibration - First Results [PDF]
As TerraSAR-X, due for launch in February 2007, will be an operational scientific mission with commercial potential, product quality is of paramount importance.
Markus Bachmann +7 more
core +1 more source
The performance of camera-based polarization sensors largely depends on the estimated model parameters obtained through calibration. Limited by manufacturing processes, the low extinction ratio and inconsistency of the polarizer can reduce the ...
Haonan Ren +4 more
doaj +1 more source
Statistical Inference in Calibrated Models [PDF]
SUMMARY This paper describes a Monte Carlo procedure to assess the performance of calibrated dynamic general equilibrium models. The procedure formalizes the choice of parameters and the evaluation of the model and provides an efficient way to conduct a sensitivity analysis for perturbations of the parameters within a reasonable range.
openaire +3 more sources

