Abstract: The present disclosure includes a method for quantifying contribution to overall variability of moisture content in wood products and associated computer software. The method comprises the steps of obtaining moisture content data for the wood products and identifying one or more sources of variability in the moisture content data. A contribution to overall variability from each of the one or more sources of variability is then quantified. One or more opportunities to impact the overall variability are then quantified, each of the one or more opportunities being associated with one or more executable steps.

Abstract: The present disclosure includes a truss and a method for selecting components to construct a truss. The truss includes three or more chord elements (two or more upper chord elements and one or more lower chord elements) and one or more web elements. Embodiments of methods according to the disclosure include estimating a first change in length for each of the two or more upper chord elements and estimating a second change in length of each of the one or more lower chord elements, the first change in length and the second change in conditions to which the truss is exposed. The method may also include selecting the one or more web elements from the plurality of wood members such that it compensates for deformation caused by the first change in length and the second change in length.

Abstract: The present disclosure generally relates to methods for predicting whether a wood product originated from a butt log. In some embodiments, such methods include dividing the wood product into at least two sections and obtaining, for each of the at least two sections, one or more optical measurements. One or more slope values may then be calculate, each representing an estimated rate at which the one or more optical measurements vary across the wood product. The slope values may then be used in a prediction model to determine a predictive output, the predictive output indicating whether the wood product originated from a butt log. Further aspects of the disclosure are directed towards a computer-readable storage medium for executing methods according to embodiments of the disclosure.

Abstract: A method for constructing a truss includes selecting three or more chord elements (two or more upper chord elements and one or more lower chord elements) and one or more web elements. The selecting of the components includes estimating a first change in length for each of the two or more upper chord elements and estimating a second change in length of each of the one or more lower chord elements, the first change in length and the second change in length in response to changes in conditions to which the truss is exposed. The one or more web elements are selected from the plurality of wood members to compensate for the deformation caused by the first change in length and the second change in length.

Abstract: A method is disclosed for classifying plant embryos according to their quality using a penalized logistic regression (PLR) model. First, sets of image or spectral data are acquired from plant embryos of known quality, respectively. Second, each of the acquired sets of image or spectral data is associated with one of multiple class labels according to the corresponding embryo's known quality. Third, sets of metrics are calculated based on the acquired sets of image or spectral data, respectively. Fourth, a penalized logistic regression (PLR) analysis is applied to the sets of metrics and their corresponding class labels to develop a PLR-based classification model. Fifth, image or spectral data are acquired from a plant embryo of unknown quality, and metrics are calculated based therefrom. Sixth, the PLR-based classification model is applied to the metrics calculated for the plant embryo of unknown quality to classify the same.

Abstract: The present disclosure includes a method for quantifying contribution to overall variability of moisture content in wood products and associated computer software. The method comprises the steps of obtaining moisture content data for the wood products and identifying one or more sources of variability in the moisture content data. A contribution to overall variability from each of the one or more sources of variability is then quantified. One or more opportunities to impact the overall variability are then quantified, each of the one or more opportunities being associated with one or more executable steps.

Abstract: The present disclosure includes a truss and a method for selecting components to construct a truss. The truss includes three or more chord elements (two or more upper chord elements and one or more lower chord elements) and one or more web elements. Embodiments of methods according to the disclosure include estimating a first change in length for each of the two or more upper chord elements and estimating a second change in length of each of the one or more lower chord elements, the first change in length and the second change in conditions to which the truss is exposed. The method may also include selecting the one or more web elements from the plurality of wood members such that it compensates for deformation caused by the first change in length and the second change in length.

Abstract: The present disclosure includes a wood product package comprising a plurality of wood products having a performance attribute. The performance attribute of the wood products is certified in statistical terms based on a degree to at which at least one of a morphology, microstructure, macrostructure or chemical composition property remains substantially symmetrical about a cross-sectional centroid of each of the wood products. Each of the plurality of wood products have a cross-sectional centroid. The plurality of wood products each have a property that is substantially symmetrical about the cross-sectional centroids. The property is related to morphology, microstructure, macrostructure, and chemical composition. Further aspects of the disclosure are directed towards methods for sorting wood products.

Abstract: Methods are provided for predicting warp of a wood product given its differential characteristics, such as, for example, curvature. The methods may involve measuring at least one original warp profile for each of one or more first wood products; measuring one or more inputs on the one or more first wood products; converting the warp profile, for each of the one or more first wood products, into a differential characteristic profile; developing a prediction algorithm based on the one or more inputs and the differential characteristic profile; measuring one or more inputs of the given wood product; inputting the one or more inputs of the given wood product into the prediction algorithm; and determining a differential characteristic profile for the given wood product based on the prediction algorithm.

Abstract: A warp stable wood product and methods for detecting the same are provided. The wood product may be sorted based on its morphology, microstructure, macrostructure, and/or chemical composition properties being substantially symmetric relative to at least one or more cross-sectional centroids of the wood product, thereby imparting warp stability.

Abstract: Systems and methods are provided for detecting the potential of a wood sample, such as a board, to stay on grade, i.e., resist warp, after it is put into service and/or its moisture has re-equilibrated with the surrounding environment. The systems and methods include various sensor technologies and subjection of obtained data to various models, algorithms, and/or other mathematical formulas.