A Solution for Vegetation Analysis, Separation and Geo-location of Management Zones using Aerial Images by UAVs

  • Suzane Santos UFPB
  • Joanacelle Melo UFPB
  • Renato Constantino UFPB
  • Alisson Brito UFPB


This work presents an automatic system of vegetation monitoring and separation in management zones using aerial images captured by Unmanned Aerial Vehicles (UAVs). The system analyzes crop images and divides them into regions identified by color for easy viewing of problem areas. To do so, it uses the NDVI vegetation index and the K-means clustering algorithm. Besides, the system allows locating each management zone through geographical coordinates. The algorithm was optimized, allowing its execution in embedded systems. As results, processing times of approximately 7s were achieved for an image with 9,387,360 pixels using a conventional computer, and 5s for an image of 493,500 pixels using an embedded system.

Palavras-chave: Applications, Internet of Things, Mobile and Ubiquitous Computing


S. K. Seelan S. Laguette G. M. Casady G. A. Seielstad "Remote sensing applications for precision agriculture: A learning community approach" Remote Sensing of Environment vol. 88 no. 1–2 pp. 157-169 2003.

E. A. S. Moriya N. N. Imai A. M. G. Tommaselli G. T. Miyoshi "Mapping mosaic virus in sugarcane based on hyperspectral images" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 10 no. 2 pp. 740-748 2017.

X. Jin S. Liu F. Baret M. Hemerlé A. Comar "Estimates of plant density of wheat crops at emergence from very low altitude uav imagery" Remote Sensing of Environment vol. 198 pp. 105-114 2017.

J. Kaivosoja L. Pesonen J. Kleemola I. Pölönen H. Salo E. Honkavaara H. Saari J. Mäkynen A. Rajala "A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from uav combined with farm history data" in Remote Sensing for Agriculture Ecosystems and Hydrology XV International Society for Optics and Photonics 2013 vol. 8887 pp. 88870H.

N. Jin W. Huang Y. Ren J. Luo Y. Wu Y. Jing D. Wang "Hyperspectral identification of cotton verticillium disease severity" Optik-International Journal for Light and Electron Optics vol. 124 no. 16 pp. 2569-2573 2013.

D. Wang F. Dowell Y. Lan M. Pasikatan E. Maghirang "Determining pecky rice kernels using visible and near-infrared spectroscopy" International Journal of Food Properties vol. 5 no. 3 pp. 629-639 2002.

R. Devadas D. Lamb S. Simpfendorfer D. Backhouse "Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves" Precision Agriculture vol. 10 no. 6 pp. 459-470 2009.

J. Wijitdechakul S. Sasaki Y. Kiyoki C. Koopipat "Uav-based multispectral image analysis system with semantic computing for agricultural health conditions monitoring and real-time management" Electronics Symposium (IES) 2016 International pp. 459-464 2016.

S. Sankaran L. R. Khot C. Z. Espinoza S. Jarolmasjed V. R. Sathuvalli G. J. Vandemark P. N. Miklas A. H. Carter M. O. Pumphrey N. R. Knowles et al. "Low-altitude high-resolution aerial imaging systems for row and field crop phenotyping: A review" European Journal of Agronomy vol. 70 pp. 112-123 2015.

J. Gago C. Douthe R. Coopman P. Gallego M. Ribas-Carbo J. Flexas J. Escalona H. Medrano "Uavs challenge to assess water stress for sustainable agriculture" Agricultural water management vol. 153 pp. 9-19 2015.

C. Zhang J. M. Kovacs "The application of small unmanned aerial systems for precision agriculture: a review" Precision agriculture vol. 13 no. 6 pp. 693-712 2012.

C. Gée J. Bossu G. Jones F. Truchetet "Crop/weed discrimination in perspective agronomic images" Computers and Electronics in Agriculture vol. 60 no. 1 pp. 49-59 2008.

A. Tellaeche X. P. Burgos-Artizzu G. Pajares A. Ribeiro "A vision-based method for weeds identification through the bayesian decision theory" Pattern Recognition vol. 41 no. 2 pp. 521-530 2008.

G. Ruß R. Kruse M. Schneider "A clustering approach for management zone delineation in precision agriculture" Proceedings of the Int. Conf. on Precision Agriculture 2010.

J. Huang H. Wang Q. Dai D. Han "Analysis of ndvi data for crop identification and yield estimation" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 7 no. 11 pp. 4374-4384 2014.

B. Zheng S. W. Myint P. S. Thenkabail R. M. Aggarwal "A support vector machine to identify irrigated crop types using time-series landsat ndvi data" International Journal of Applied Earth Observation and Geoinformation vol. 34 pp. 103-112 2015.

C. V. Barton "Advances in remote sensing of plant stress" Plant and Soil vol. 354 no. 1–2 pp. 41-44 2012.

F. J. D. T. Guerrero A. Hinojosa-Corona T. G. Kretzschmar "A comparative study of ndvi values between north-and south-facing slopes in a semiarid mountainous region" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing vol. 9 no. 12 pp. 5350-5356 2016.

M. Pedroso J. Taylor B. Tisseyre B. Charnomordic S. Guillaume "A segmentation algorithm for the delineation of agricultural management zones" Computers and Electronics in Agriculture vol. 70 no. 1 pp. 199-208 2010.

C.-H. Lin C.-C. Chen H.-L. Lee J.-R. Liao "Fast k-means algorithm based on a level histogram for image retrieval" Expert Systems with Applications vol. 41 no. 7 pp. 3276-3283 2014.

H. Dalimi M. Afifi S. Amar M. Bahich E. M. Barj Y. Bentahar "Segmentation by fusion of histogram-based k-means" International Journal of Computer Science Issues (IJCSI) vol. 12 no. 4 pp. 94 2015.

Gdal - geospatial data abstraction library 2000 [online] Available: https://www.gdal.org/index.html.

R. T. Santos A. M. Saraiva "A reference process for management zones delineation in precision agriculture" IEEE Latin America Transactions vol. 13 no. 3 pp. 727-738 2015.

L. He C. Liying C. Guifen L. Dexin "Delineating soil nutrient management zones based on id3 algorithm" 2011 International Conference on Mechatronic Science Electric Engineering and Computer (MEC) pp. 1155-1159 2011.

H. Liu Z. Qiu L. Meng M. Xu Y. Pan X. Zhang "Delineation of site-specific management zone based on spot6/7 remote sensing image in black soil area northeast china" 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) pp. 5046-5049 2017.

X. Li Y. Pan C. Zhang L. Liu J. Wang "A new algorithm on delineation of management zone" Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium 2005. IGARSS’05 vol. 1 pp. 4 2005.

G. R. Silva M. C. Escarpinati D. D. Abdala I. R. Souza "Definition of management zones through image processing for precision agriculture" Computer Vision (WVC) 2017 Workshop of pp. 150-154 2017.

Numpy 2018 [online] Available: http://www.numpy.org/.

S. v. d. Walt S. C. Colbert G. Varoquaux "The numpy array: a structure for efficient numerical computation" Computing in Science & Engineering vol. 13 no. 2 pp. 22-30 2011.

S. Basar A. Adnan N. H. Khan S. Haider "Color image segmentation using k-means classification on rgb histogram" Recent Advances In Telecommunications Informatics And Educational Technologies pp. 257-262 2014.

T.-W. Chen Y.-L. Chen S.-Y. Chien "Fast image segmentation based on k-means clustering with histograms in hsv color space" multimedia signal processing 2008 IEEE 10th Workshop on pp. 322-325 2008.

J. C. Melo R. G. Constantino S. G. Santos T. P. Nascimento A. V. Brito "A system embedded in small unmanned aerial vehicle for vigor analysis of vegetation" GEOINFO pp. 310-321 2017.

D. Ghosh N. Kaabouch "A survey on image mosaicing techniques" Journal of Visual Communication and Image Representation vol. 34 pp. 1-11 2016.

Smoothing images 2015 [online] Available: https://docs.opencv.org/3.1.0/d4/d13/tutorial_py_filtering.html.

Histogram equalization 2015 [online] Available: https://docs.opencv.org/3.1.0/d5/daf/tutorial_py_histogram_equalization.html.

Passmark - cpu comparison intel i7-4700mq vs i7-6500u 2019 [online] Available: https://www.cpubenchmark.net/compare/Intel-i7-4700MQ-vs-Intel-i7-6500U/1923vs2607.
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SANTOS, Suzane; MELO, Joanacelle ; CONSTANTINO, Renato ; BRITO, Alisson . A Solution for Vegetation Analysis, Separation and Geo-location of Management Zones using Aerial Images by UAVs. In: SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SISTEMAS COMPUTACIONAIS (SBESC), 9. , 2019, Natal. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 105-112. ISSN 2237-5430.