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Expedited generation of terrain digital classes in flat areas from UAV images for precision agriculture purposes

  • M. C. Pineda (a1), C. Perdomo (a1), R. Caballero (a1), A. Valera (a2), J. A. Martínez-Casasnovas (a3) and J. Viloria (a1)...


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.


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Chang, D, Zhang, J, Zhu, L, Ge, SH, Li, PY and Liu, GS 2014. Delineation of management zones using an active canopy sensor for a tobacco field. Computers and Electronics in Agriculture 109, 172178.
Bezdek, JC, Tsao, EC and Pal, NR 1992. Fuzzy Kohonen Clustering Networks, in Proc. IEEE Int. Conf. on Fuzzy Systems (San Diego), USA, pp. 1035–1043.
Davatgar, N, Neishabouri, MR and Sepaskhah, AR 2012. Delineation of site specific nutrient management zones for a paddy cultivated area based on soil fertility using fuzzy clustering. Geoderma 173–174, 111118.
Hengl, T and Evans, I 2009. Mathematical and digital models of the land surface. In: Hengl, T. y H. Reuter (eds). Geomorphometry: Concepts, Software and Applications. Elsevier Ed., pp. 31–63.Amsterdam, The Netherlands.
Jenny, H 1941. Factors of Soil Formation: A System of Quantitative Pedology. McGraw-Hill. pp. 281. New York, USA.
McBratney, AB, Mendonça, ML and Minasny, B 2003. On digital soil mapping. Geoderma 117, 352.
Ortega, RA and Santibáñez, OA 2007. Determination of management zones in corn (Zea mays L.) based on soil fertility. Computers and Electronics in Agriculture 58, 4959.
Ovalles, F and Rey, J 1994. Variabilidad interna de unidades de fertilidad en suelos de la depresión del lago de Valencia. Revista Agronomía Tropical 44 (1), 4165.
Reyniers, M, Maertens, K, Vrindts, E and De Baerdemaeker, J 2006. Yield variability related to landscape properties of a loamy soil in central Belgium. Soil & Tillage Research 88, 262273.
Ruß, G, Kruse, R and Schneider, M 2010. A Clustering Approach for Management Zone Delineation in Precision Agriculture, in: Proceedings of ICPA, International Society of Precision Agriculture, p14.
Song, X, Wang, J, Huang, W, Liu, L, Yan, G and Pu, R 2009. The delineation of agricultural management zones with high resolution remotely sensed data. Precision Agriculture 10, 471487.
Tukey, J 1977. Exploratory Data Analysis. Addison-Wesley Pub, Reading, UK.
Tripathi, R, Nayak, AK, Shahid, M, Lal, B, Gautama, P, Raja, R, Mohanty, S, Kumar, A, Panda, BB and Sahoob, RN 2015. Delineation of soilmanagement zones for a rice cultivated area in eastern India using fuzzy clustering. Catena 133, 128136.
Viloria, J, Núñez, Y, Machado, G, Elizalde, G and Pineda, M 2009. Variación espacial del suelo y el paisaje en la cuenca alta del río Güey, estado Aragua, Venezuela. Revista de la Facultad de Agronomía 35 (2), 6278.
Viloria, A 2007. Estimación de modelos de clasificación de paisaje y predicción de atributos de suelos a partir de imágenes satelitales y Modelos Digitales de Elevación. (Trabajo de grado). Facultad de Ciencias. Universidad Central de Venezuela, Caracas, Venezuela. pp. 95.
Rong-Jiang Yao, RJ, Yanga, JS, Zhang, TJ, Gao, P, Wang, XP, Hong, LZ and Wang, MW 2014. Determination of site-specific management zones using soil physico-chemical properties and crop yields in coastal reclaimed farmland. Geoderma 232–234, 381393.
Valera, A 2015. Inventario de suelos y paisajes con apoyo de técnicas de cartografía digital en áreas montañosas. Caso cuenca del río Caramacate, estado Aragua. Postgrado en Ciencia del Suelo. Facultad de Agronomía. Universidad Central de Venezuela, Venezuela. pp. 246.
Viloria, JA, Viloria-Botello, A, Pineda, MC and Valera, A 2016. Digital modelling of landscape and soil in a mountainous region: A neuro-fuzzy approach. Geomorphology 253, 199207.
Webster, R and Butler, BE 1976. Soil Classification and Survey Studies at Ginninderra. Australian Journal of Soil Research 14, 124.
Webster, R and Oliver, MA 1990. Statistical Methods in Soil and Land Resource Survey. Oxford University Press, Oxford, UK. pp 316.
Webster, R and Oliver, MA 2007. Geostatistics for Environmental Scientists, Second Edition Wiley, Chichester, UK. pp 36.



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