Segmentation of land use maps for precision agriculture
Abstract
We present a multilayer image segmenter adapted to be used for Precision Agriculture (PA). PA depends strongly on the application of information technologies to divide and group geographic areas based on land use, soil data, metrological data and agricultural resources for planning and implementation of activities to increase output by using optimal strategies for each segment. We implemented a modified Baatz algorithm in the statistical language R and speed sensitive code was implemented in C++. The code will be made publicly available under the GNU Lesser Public License. We show the merit of our approach at the hand of a landscape and discuss the obtained segments generated by our tool.
References
Baatz, M. and Schape, A. (2000). Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation. In J. Strobl, T. B. and Griesbner, G., editors, Angewandte Geographische Informations-Verarbeitung, pages 12–23. Wichmann Verlag, Karlsruhe, Germany, xii edition.
Costa, W. F. (2016). Segmentação multiresolução variográfica ótima. PhD thesis, Universidade de São Paulo, São Paulo, Brazil.
Costa, W. F., Saraiva, A. M., Veiga, A. K., Soares, F., and Quintanilha, J. A. (2013). Applying multiresolution segmentation algorithm to generate crop management zones based on interpolated layers.
Eddelbuettel, D. and François, R. (2011). Rcpp: Seamless R and C++ integration. Journal of Statistical Software, 40(8):1–18.
R Core Team (2014). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Saraiva, A. M. (2003). Tecnologia da informação na agricultura de precisão e biodiversidade: Estudos e proposta de utilização de web services para desenvolvimento e integração de sistemas. Tese de livre docência, Universidade de São Paulo.
Zhang, N., Wang, M., andWang, N. (2002). Precision agriculture - a worldwide overview. Computers and Electronics in Agriculture, 36(2 - 3):113 – 132.
Costa, W. F. (2016). Segmentação multiresolução variográfica ótima. PhD thesis, Universidade de São Paulo, São Paulo, Brazil.
Costa, W. F., Saraiva, A. M., Veiga, A. K., Soares, F., and Quintanilha, J. A. (2013). Applying multiresolution segmentation algorithm to generate crop management zones based on interpolated layers.
Eddelbuettel, D. and François, R. (2011). Rcpp: Seamless R and C++ integration. Journal of Statistical Software, 40(8):1–18.
R Core Team (2014). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Saraiva, A. M. (2003). Tecnologia da informação na agricultura de precisão e biodiversidade: Estudos e proposta de utilização de web services para desenvolvimento e integração de sistemas. Tese de livre docência, Universidade de São Paulo.
Zhang, N., Wang, M., andWang, N. (2002). Precision agriculture - a worldwide overview. Computers and Electronics in Agriculture, 36(2 - 3):113 – 132.
Published
2017-07-02
How to Cite
COSTA, Wilian F.; BIELEVELD, Michel J. M.; CHINCHILLA, Raphael G.; SARAIVA, Antonio M..
Segmentation of land use maps for precision agriculture. In: WORKSHOP ON COMPUTING APPLIED TO THE MANAGEMENT OF THE ENVIRONMENT AND NATURAL RESOURCES (WCAMA), 8. , 2017, São Paulo.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2017
.
p. 801-804.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2017.3438.
