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Tytuł artykułu

Development of the hardware and software complex for fertilizer application on agricultural fields

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Rozwój sprzętu komputerowego i kompleksowego oprogramowania dla aplikacjinawozu na polach rolniczych
Języki publikacji
EN
Abstrakty
EN
In the article developing of hardware and software complex for fertilizer application on agricultural fields is described. The complex is intended for environmental pressures reduction in case of treatment and prevention of agricultural vegetation diseases. The developed technique of data obtaining by UAV, processing of remote sensing data and preparing of control data for system of fertilizer application is considered.
Twórcy
autor
  • United Institute of Informatics National Academy of Science, Minsk, Belarus
autor
  • United Institute of Informatics National Academy of Science, Minsk, Belarus
autor
  • United Institute of Informatics National Academy of Science, Minsk, Belarus
  • Industrial Institute of Agricultural Engineering, Poznan, Poland
Bibliografia
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  • [4] Shrivastava, R.J. Land cover classification and economic assessment of citrus groves using remote sensing / R.J. Shrivastava, J.L. Gebelein / Journal of Photogrammetry and Remote Sensing. – 2007. – Vol. 61. – P. 341-353.
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  • [6] Using high spatial resolution multispectral data to classify corn and soybean crops / G.B. Senay [et al.] // Photogrammetric engineering and remote sensing. – 2000. – Vol. 66, No. 3. – P. 319-327.
  • [7] Rubtsov, S.A. Aerospace equipment and technologies for precision farming / S.A. Rubtsov, I.N. Golovanev. A.N. Kashtanov. – M., 2008. – 330 p. [In russian]
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  • [9] Maselli, F. Evaluation of statistical methods to estimate forest volume in a Mediterranean region / F. Maselli, M. Chiesi // IEEE Transactions on Geoscience and Remote Sensing. – 2006. – Vol. 44, No. 8. – P. 2239-2250.
  • [10] de Wasseige, C. Retrieval of tropical forest structure characteristics from bi-directional reflectance of SPOT images / C. de Wasseige, P. Defourny // Remote Sensing of Environment. – 2002. – Vol. 83. – P. 362-375.
  • [11] Roy, D.P. Remote sensing of fire severity: assessing the performance of the Normalized Burn Ratio / D.P. Roy, L. Boschetti, S. Trigg // IEEE Geoscience and Remote Sensing Letters. – 2006. – Vol. 3, No. 1. – P. 112-116.
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  • [13] Turner, M.G. Landscape ecology in theory and practice / M.G. Turner, R.H. Gardner, R.V. O'Neill. – Springer-Verlag, 2001. – 417 p.
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  • [16] Wu, Lanlan. Identification of weed/corn using BP network based on wavelet features and fractal dimension / Lanlan Wu, Youxian Wen, Xiaoyan Deng, Hui Peng // Scientific Research and Essay, November, 2009. – Vol.4 (11). – P. 1194-1200.
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  • [19] Ganchenko, V. Special Areas Detection and Recognition on Agricultural Fields Images / V. Ganchenko, R. Sadykhov, A. Doudkin, Al. Petrovsky, T. Pawlowski // Digital Image and Signal Processing for Measurement Systems; Ed. by Richard Duro, Fernando Pena; River Publishers. – 2012. – Ch. 8. – P. 201-233.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d8c00511-9506-4f6b-848b-bbdec6408541
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