The experiments were conducted using the GDS triaxial automated system. Hydraulic pressure controllers capable of reaching up to 2 MPa, were utilized to apply the cell and back pressures. A ...

An R package that assists with the setup and operation of a collection of soil data summary, comparison, and evaluation reports. These reports are primarily used by USDA-NRCS soil scientists in both ...

This paper addresses these challenges by transferring a classifier trained in overt speech data to covert speech classification. We used electroencephalogram (EEG) features derived from the Hilbert ...

Abstract: A major challenge in Fine-Grained Visual Classification (FGVC) is distinguishing various categories with high inter-class similarity by learning the feature that differentiates the details.

Corn harvested for grain ... Minnesota, soil testing for sulfur is correlated and effective only for sandy soils with low soil organic matter concentrations in the soil surface. Sulfur soil tests are ...

From there, soil can be further classified by particle size. For example, sand and gravel are considered coarse-grained soil. Silt and clay, which stick together, are considered fine- grained soil ...

This paper proposes a novel deep-learning architecture for crop pest classification ... with distinguishing the fine details of pests and background interference. The proposed model is designed to ...

Expandable And Scalable Infrastructure for Finite Element Methods, EASIFEM, is [Modern Fortran](https://fortran-lang.org) framework for solving partial differential ...