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Fractal analysis for soybean leaves characterization.
- Source :
-
AIP Conference Proceedings . 2020, Vol. 2293 Issue 1, p350003-1-350003-4. 4p. - Publication Year :
- 2020
-
Abstract
- The present study used fractal analysis for soybean leaves characterization (Glycine max (L.) Merr), Caro and Onix genotypes. The box-counting method was used to find the fractal dimensions of leaf shape in the two genotypes. The fractal dimensions were D = 1.627 at the Caro genotype, and respectively D = 1.509 at the Onix genotype. In the case of Caro genotype, correlation analysis showed average correlations between fractal dimension (D) and leaf width (W), r = 0.728, respectively between D and scan leaf area (SLA), r = 0.778 and low intensity correlations between D and perimeter of the leaves (Per), r = 0.624, respectively between D and the leaf length (L), r = 0.484. In the case of Onix genotype, high correlations were found between D and SLA (r = 0.862), between D and W (r = 0.812); average correlations between D and Per (r = 0.766), and respectively low correlations between D and L (r = 0.685). Based on D values, SLA prediction was possible under conditions of R² = 0.631, p << 0.001 for Caro genotype, and R² = 0.812, p << 0.001 respectively for Onix genotype. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FRACTAL analysis
*FOLIAR diagnosis
*FRACTAL dimensions
*LEAF area
*GENOTYPES
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2293
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 147451721
- Full Text :
- https://doi.org/10.1063/5.0026508