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Expedited generation of terrain digital classes in flat areas from UAV images for precision agriculture purposes
- Source :
- Advances in Animal Biosciences; July 2017, Vol. 8 Issue: 2 p828-832, 5p
- Publication Year :
- 2017
-
Abstract
- Precision agriculture (PA) requires reasonably homogeneous areas for site-specific management. This work explores the applicability of digital terrain classes obtained from a digital elevation model derived from UAV-acquired images, to define management units in in a relative flat area of about 6 ha. Elevation, together with other terrain variables such as: slope degree, profile curvature, plan curvature, topographic wetness index, sediment transport index, were clustered using the Fuzzy Kohonen Clustering Network (FKCN). Four terrain classes were obtained. The result was compared with a map produced by a classification of soil properties previously interpolated by ordinary kriging. The results suggest that areas for site-specific management can be defined from terrain classes based on environmental covariates, saving time and cost in comparison with interpolation of soil variables.
Details
- Language :
- English
- ISSN :
- 20404700 and 20404719
- Volume :
- 8
- Issue :
- 2
- Database :
- Supplemental Index
- Journal :
- Advances in Animal Biosciences
- Publication Type :
- Periodical
- Accession number :
- ejs42154997
- Full Text :
- https://doi.org/10.1017/S2040470017000322