Estimation of vineyard leaf area by linear regression

Rapid estimation of sunflower leaf area from linear measurements

Leaf area estimation by a simple and non-destructive method

In this study, the relation between leaf area and its dimensions was estimated using a non-destructive method. This method is based on this fact that the leaf shape does not change during the growing season. In this method, leaf area during the growing season is estimated based on the dimensions of the smallest leaf in the initial stage of plant growth or at any growth stage by measuring the le...

Mapping vineyard leaf area with multispectral satellite imagery

Vineyard leaf area is a key determinant of grape characteristics and wine quality. As is frequently the case in agriculture, available ground-based leaf area measurements employed by growers are not well suited to larger area mapping. In this study, IKONOS high spatial resolution, multispectral satellite imagery was used to map leaf area throughout two commercial wine grape vineyards (approxima...

Vocal tract area function inversion by linear regression of cepstrum

Vocal tract data from 3D cine-MRI are used together with synchronised acoustics to evaluate a linear regression model for inversion. The first two principal components of vocalic area functions are predicted with correlations 0.99 and 0.97 respectively, from 24 FFT-cepstra measured in the frequency band 0-4 kHz. This best regression model together with the two component representation yields me...

Robust Estimation in Linear Regression with Molticollinearity and Sparse Models

‎One of the factors affecting the statistical analysis of the data is the presence of outliers‎. ‎The methods which are not affected by the outliers are called robust methods‎. ‎Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers‎. ‎Besides outliers‎, ‎the linear dependency of regressor variables‎, ‎which is called multicollinearity...