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Tytuł artykułu

Decision support for hardware and software, complex for precision farming tasks: student project

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Języki publikacji
EN
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EN
In the article algorithms for decision support for hardware and software complex are described. The complex is used for few precision farming tasks: data mining, data processing, decision making and control of fertilizers applying. The complex is designed to reduce costs and environmental burden on potato. The complex is based on processing aerial images photographs of potato fields.
Twórcy
  • Laboratory of System Identification of United Institute of Informatics Problems National Academy of Science, 6, Surganova str, 220012 Minsk, Republic of Belarus
Bibliografia
  • 1. R. Bonnefon, P. Dherete, J. Desachy "Geographic information system updating using remote sensing images," Pattern Recognition Letters, 2002, Vol. 23, P. 1073-1083.
  • 2. W.J.D. van Leeuwen [et al.] "Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications," Remote Sensing of Environment, 2006, Vol. 3, P. 67-81.
  • 3. A. Sofou, G. Evangelopoulos, P. Maragos "Soil image segmentation and texture analysis: a computer vision approach," IEEE Geoscience and Remote Sensing Letters, 2005, Vol. 2, P. 394-398.
  • 4. R.J. Shrivastava, J.L. Gebelein "Land cover classification and economic assessment of citrus groves using remote sensing," Journal of Photogrammetry and Remote Sensing, 2007, Vol. 61, P. 341-353.
  • 5. M.M. Verstraete, B. Pinty "Designing optimal spectral indices for remote sensing applications," IEEE Transactions on Geoscience and Remote Sensing, 1996, Vol. 34, N2 5, P. 1254-1265.
  • 6. G.B. Senay [et al.] "Using high spatial resolution multispectral data to classify com and soybean crops," Photogrammetric engineering and remote sensing, 2000, Vol. 66, No. 3, P. 319-327.
  • 7. S.A. Rubtsov, I.N. Golovanev. A.N. Kashtanov Aerospace equipment and technologies for precision farming, Moscow, 2008, 330 p. [hi Russian].
  • 8. G. Laneve, M.M. Castronuovo, E.G. Cadau "Continuous monitoring of forestres in mediterranean area using MSG," IEEE Transactions on Geoscience and Remote Sensing, 2006, Vol. 44, No. 10, P. 2761-2767.
  • 9. F. Maselli, M. Chiesi "Evaluation of statistical methods to estimate forest volume in a Mediterranean region," IEEE Transactions on Geoscience and Remote Sensing, 2006, Vol. 44, No. 8, P. 2239-2250.
  • 10. C. de Wasseige, P. Defoumy "Retrieval of tropical forest structure characteristics from bi-directional reflectance of SPOT images," Remote Sensing of Environment, 2002, Vol. 83, P. 362-375.
  • 11. D.P. Roy, L. Boschetti, S. Trigg "Remote sensing of fire severity: assessing the performance of the Normalized Burn Ratio," IEEE Geoscience and Remote Sensing Letters, 2006, Vol. 3, No. 1, P. 112-116.
  • 12. J.C. Ritchie, P.V. Zimba, J.H. Everitt "Remote sensing techniques to assess water quality," Photogrammetric Engineering and Remote Sensing, 2003, Vol. 69, No. 6, P. 695-704.
  • 13. M.G. Turner, R.H. Gardner, R.V. O'Neill Landscape ecology in theory and practice - Springer-Verlag, 2001, 417 p.
  • 14. B.I. Belyaev, L.V. Katkovsky Optical remote sensing - Minsk: BSU, 2006, 455 p. [In Russian].
  • 15. N. Kumar, S. Pandey, A. Bhattacharya, P.S. Ahuja "Do leaf surface characteristics affect agrobacterium infection in tea [Camellia Sinensis (L.) O Kuntze]?" J. Biosci, 2004, Vol. 29, No. 3, P. 309-317.
  • 16. L. Wu, Yo. Wen, X. Deng, H. Peng "Identification of weed/com using BP network based on wavelet features and fractal dimension," Scientific Research and Essay, November, 2009, Vol.4 (11), P. 1194-1200.
  • 17. Zh. Qin, M. Zhang "Detection of rice sheath blight for in-season disease management using multispectral remote sensing," International Journal of Applied Earth Observation and Geoinformation, August, 2005, Vol. 7, Issue 2, P. 115-128.
  • 18. S. Aksoy, H.G. Akcay, T. Wassenaar "Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using Very High-Resolution Imagery," IEEE Transactions on Geoscience and Remote Sensing, January 2010, No. 48 (1, 2), P. 511-522.
  • 19. V. Ganchenko, R. Sadykhov, A. Doudkin, A1. Petrovsky, T. Pawlowski "Special Areas Detection and Recognition on Agricultural Fields Images," in Digital Image and Signal Processing for Measurement Systems; Ed. by Richard Duro, Femando Pena; River Publishers, 2012, ch. 8, P. 201-233.
  • 20. V.V. Starovoytov Local geometrical methods of digital processing and the analysis of image, Minsk: IEC BAS, 1997, 284 p.
  • 21. R.M. Haralick, K. Shanmugam and I. Dinstein "Textural Features for Image Classification," IEEE Transactions on Systems, Man and Cybernetics, No.6, 1973, P. 610-621.
  • 22. E. Feder Fractals, Moscow: Mir, 1991, 254 p. [In Russian].
  • 23. D. Viattchenin A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications, Springer, 2013, 200 p.
  • 24. Haykin, S. Neural networks: A Comprehensive Foundation, Second Edition, Moscow : Publishing House "Williams", 2006, 1104 p. [In Russian].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0e07756d-6c48-45a8-b74a-76976d04f9fe
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