Optimization of Management Zones Shape Files

  • Letícia Leite Caetano UFU
  • Jocival Dantas Dias Júnior UFU
  • André Ricardo Backes UFU
  • Hericles Felipe Ferraz UFU
  • Mauricio Cunha Escarpinati UFU


The growing use of technologies in favor of Precision Agriculture enables the application of different strategies in a crop and seeks to increase production, reduce costs and reduce damage to the environment. To keep up with the need to increase productivity and still reduce costs with farming as much as possible, the approach of applying inputs in a targeted manner based on the classification of regions is increasingly used, as are the results obtained in [9]. In optimizing these results, some points were identified that could be improved in relation to the vector data of the generated Management Zones, such as overlapping between different zones, invalid geometries, and a very large amount of points, which add unnecessary complexity to the file. This work proposes an algorithm that aims to optimize these Management Zone results in a shapefile, and aims to correct invalid geometries, reduce the number of points that define the shapes of the zones, and the correction of overlapping regions so that zones with lesser vigor have priority. In addition, an adjustment of the spacing between the geometries is made while correcting the overlap between different zones. As a result, a new shapefile is created, composed only of valid geometries, fewer points, and no overlaps between different Management Zones. Specialists evaluated the results obtained and indicated them as adequate to solve the problem.

Palavras-chave: Computational Geometry, Management Zones, Overlay, Points Simplification, Invalid Geometries


Samuel Audet et al. “Robust and efficient polygon overlay on parallel stream processors”. In: Nov. 2013, pp. 304-313. DOI: 10.1145/2525314.2525352.

I. F. Carvalho. Agricultura de precisão: Boletim Técnico. Tech. rep. Brasília: Mapa/ACS, 2011.

DAVID H. DOUGLAS and THOMAS K. PEUCKER. “Algorithms for the reduction of the number of points required to represent a digitized line or its caricature”. In: Cartographica: The International Journal for Geographic Information and Geovisualization 10 (Dec. 1973). DOI: 10.3138/FM57- 6770-U75U- 7727. URL: https://doi.org/10.3138/FM57-6770-U75U-7727.

Douglas-Peucker-Algorithmus. https://de.wikipedia.org/wiki/Douglas-Peucker-Algorithmus. Acessado em 16/06/2019. 2018.

ESRI ESRI. “Shapefile technical description”. In: An ESRI white paper (1998).

Zi-qiang Li, Yan He, and Zhuo-jun Tian. “Overlapping Area Computation between Irregular Polygons for Its Evolutionary Layout Based on Convex Decomposition”. In: JSW 7 (2012), pp. 485-492.

L. Z PES et al. Projeto Aquarius/Cotrijal - Pólo de Agricultura de Precisão na Região Alto Jacuí - RS. Tech. rep. 2° Congresso Brasileiro de Agricultura de Agricultura de precisãoESALQ/USP, 2006.

FJ Ponzoni. “Comportamento espectral da vegetação”. In: Sensoriamento remoto: reflectância de alvos naturais 1 (2001), pp. 157-199.

G. Rezende Silva et al. “Definition of Management Zones Through Image Processing for Precision Agriculture”. In: 2017 Workshop of Computer Vision (WVC). Oct. 2017, pp. 150-154. DOI:10.1109/WVC.2017.00033.

Paolo Tripicchio et al. “Towards smart farming and sustainable agriculture with drones”. In: 2015 International Conference on Intelligent Environments. IEEE. 2015, pp. 140-143.

Mahes Visvalingam and Simon Herbert. “A Computer Science Perspective on the Bendsimplification Algorithm”. In: Cartography and Geographic Information Science 26.4 (1999), pp. 253-270. DOI: 10.1559/152304099782294177. eprint: https://doi.org/10.1559/152304099782294177. URL: https://doi.org/10.1559/152304099782294177.

Erik Westra. Python geospatial development. Packt Publishing Birmingham, 2010, pp. 48-53.

Chunhua Zhang and John Kovacs. “The application of small unmanned aerial systems for precision agriculture: A review”. In: 13 (Dec. 2012).
Como Citar

Selecione um Formato
CAETANO, Letícia Leite; DIAS JÚNIOR, Jocival Dantas; BACKES, André Ricardo; FERRAZ, Hericles Felipe; ESCARPINATI, Mauricio Cunha. Optimization of Management Zones Shape Files. In: WORKSHOP DE VISÃO COMPUTACIONAL (WVC), 17. , 2021, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 148-153. DOI: https://doi.org/10.5753/wvc.2021.18905.