In brief, after harvesting a single panicle from each M1 plant, the ear-to-row method was used to advance generations with fertile individuals until the M7 generation.
Bottom row: the method in [13], the proposed method, and the ground truth image.
Bottom row: the method in [13], the proposed method, and the ground truth image Fig. 6 Comparison of SR results of parrot image with magnification factor 2. Top row: bi-cubic, the method in [20], and the method in [15].
Bottom row: the method in [13], the proposed method, and the ground truth image Fig. 7 Comparison of SR results of cameraman image with magnification factor 2. Top row: bi-cubic, the method in [20], and the method in [15].
Bottom row: the method in [13], the proposed method, and the ground truth image Fig. 5 Comparison of SR results of butterfly image with magnification factor 2. Top row: bi-cubic, the method in [20], and the method in [15].
The row-by-row frontal method may be used to solve general large sparse linear systems of equations.
In this paper, an algorithm is proposed for stage 2. For a range of practical examples from chemical process engineering, it is shown that the proposed algorithm substantially reduces the block frontal matrix size and, for sufficiently large problems, this can lead to significant reductions in the factorization times when the row-by-row frontal method is implemented in parallel.
The solution, obtained by a row reduction method, demonstrated the typical accuracy and convergence rate of the cubed-sphere spectral element method.
A crop row localization method was used to calculate the relative position and direction of crop rows.
Otherwise, null values were replaced by the probe's average (row average method) and probes targeting the same gene were averaged.
