WebThe main objectives of this study are as follows: (1) To assess the ability of winter wheat canopy hyperspectral vegetation indices and LAI to be used for grain yield prediction based on the ENET algorithm; (2) to study the effect of Stacking technology in improving the accuracy of grain yield prediction based on ensemble learning; (3) to analyze … WebJan 7, 2024 · The accurate grain-based models combined the real mineral composition of granite and the precise mechanical properties of minerals were built to duplicate the microcrack characteristic. It provides a solution to the lack of accuracy and physical meaning in determining parameters for properties at grain scale.
Improvement of Wheat Grain Yield Prediction Model …
WebThis paper describes that model, and demonstrates that it matches the macroscopic response and most of the mechanisms that occur during direct-tension and compression tests on sp diorite. In future work, the model could be used to investigate techniques needed to suppress or minimize spalling. WebJul 31, 2024 · A grain-based rock model was developed and applied to study mechanical characteristics and failure micromechanics in thick-walled cylinder and wellbore stability tests. The rock is represented as an assembly of tetrahedral blocks with bonded contacts. Material heterogeneity is modeled by varying the tensile strength at the block contacts. grains inspected for export
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WebJul 31, 2024 · A grain-based rock model was developed and applied to study mechanical characteristics and failure micromechanics in thick-walled cylinder and wellbore stability … WebJul 15, 2024 · Grain-scale heterogeneity is a combination of several types of heterogeneity, including geometric heterogeneity resulting from grain shape, grain orientation and grain size; material heterogeneity resulting from the mismatch of different grains; and contact heterogeneity resulting from grain boundary anisotropy. WebIn continuum percolation theory, the so-called germ-grain model is an obvious generalization of both the Boolean and Boolean-Poisson models which is driven by an … grains in the diet