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CLASSIFICATION ALGORITHM FOR KNOWLEDGE EXTRACTION FROM MULTIDIMENSIONAL TIME SERIES DATABASE ON CROP PRODUCTION

Onkov, Kolyo

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b21/s07.017View metrics

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Title
CLASSIFICATION ALGORITHM FOR KNOWLEDGE EXTRACTION FROM MULTIDIMENSIONAL TIME SERIES DATABASE ON CROP PRODUCTION
Authors
Onkov, Kolyo
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
125-132
ISSN
1314-2704
ISBN
978-619-7105-58-2
Language
en
Publication type
Conference Paper
References30

  1. Hubert B., Rosegrant M., Van Boekel M. A., Ortiz R ., The future of food: scenarios for 2050, Crop Science, vol. 50(Supplement 1), pp 33 –50, 2010.

  2. Ray D.K. , Mueller N. D., West P . C., Foley J. A. , Yield trends are insufficient to double global crop production by 2050, PloS one, vol. 8 (6), e66428, pp 1-8, 2013. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org Informatics

  3. Jerneck A., Olsson L., Ness B., Anderberg S., Baier M., Clark E., Hickler T., Hornborg A., Kronsell A., Lovbrand E., Persson J., Structuring sustainability science, Sustainability Science, vol. 6(1), 69-82, 2011.

  4. Hicke J., Lobell D ., Asner G., Cropland Area and Net Primary Production Computed from 30 Years of USDA Agricultur al Harvest Data, Earth Interactions Journal, vol. 8, issue 10, pp 1-20, 2004.

  5. Spangenberg J.H., Economic sustainability of the economy: Concepts and indicators, International Journal of Sust ainable Development, vol. 8, Issue 1 -2, pp 47 - 64, 2005.

  6. Van Cauwenbergh N., Biala K., Bielders C., Brouckaert V., Franchois L., Garcia Cidad V., Hermy M., Mathijs E., Muys B., Reijnders J., Sauvenier X., Valckx J., Vanclooster M., Van der Veken B., Wauters E., Peeters A, SAFE—A hierarchi cal framework for assessi ng the sustainability of agricultural systems , Agriculture, ecosystems & environment, vol. 120.2, pp 229-242, 2007.

  7. Onkov K., Tegos G., Information model for sustainability analysis of fish resources in Greece, Journal of Environmental Protection and E cology, vol. 12 (4A), pp 2177- 2185, 2011.

  8. Sharma T., Carmichael J., Klinkenberg B , Integrated modeling for exploring sustainable agriculture futures, Futures, vol. 38(1), pp 93-113, (2006).

  9. Eerens H., Haesen D., Rembold F., Urbano F., Tote C., Bydekerke L., Image time series processing for agriculture monitoring , Environmental Modelling & Software, vol. 53, pp 154-162, 2014.

  10. Rembold, F., Meroni, M., Urbano, F., Royer, A., Atzberger, C., Lemoine, G., Eerens, H, Haesen, D., Remote sensing time series analysis for crop monitoring with the spirits software: New functionalities and use examples , Frontiers in Environmental Science, vol. 3, pp 1-11, 2015.

  11. Han J., Lakshmanan L.V.S., Ng R.T, Constraint-based, multi-dimensional data mining, Computer, vol. 32, pp 46-50, 1999.

  12. Feng Q., Miao D., Cheng Y., Hierarchical decision rules mining, International Journal of Expert Systems with Applications, vol. 37 (3), pp 2081-2091, 2010.

  13. Garcia A. B., The use of data mining techniques to discover knowledge from animal and food data: Examples related to the cattle industry, Trends in food science and & technology, vol. 29(2), pp 151-157 , 2013.

  14. Onkov, K., Dimova D., Data mining algorithm for analyzing spatial time series on crop production, International Multidisciplinary Scientific GeoConference SGEM, v ol. 1, pp 69-75, 2013.

  15. Ramesh D., Vardhan B. V ., Analysis of crop yield prediction using data mining techniques, International Journal of Research in Engineering and Technology, vol. 4(01), pp 470-473, 2015. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  16. Hubert B., Rosegrant M., Van Boekel M. A., Ortiz R ., The future of food: scenarios for 2050, Crop Science, vol. 50(Supplement 1), pp 33 –50, 2010.

  17. Ray D.K. , Mueller N. D., West P . C., Foley J. A. , Yield trends are insufficient to double global crop production by 2050, PloS one, vol. 8 (6), e66428, pp 1-8, 2013. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org Informatics

  18. Jerneck A., Olsson L., Ness B., Anderberg S., Baier M., Clark E., Hickler T., Hornborg A., Kronsell A., Lovbrand E., Persson J., Structuring sustainability science, Sustainability Science, vol. 6(1), 69-82, 2011.

  19. Hicke J., Lobell D ., Asner G., Cropland Area and Net Primary Production Computed from 30 Years of USDA Agricultur al Harvest Data, Earth Interactions Journal, vol. 8, issue 10, pp 1-20, 2004.

  20. Spangenberg J.H., Economic sustainability of the economy: Concepts and indicators, International Journal of Sust ainable Development, vol. 8, Issue 1 -2, pp 47 - 64, 2005.

  21. Van Cauwenbergh N., Biala K., Bielders C., Brouckaert V., Franchois L., Garcia Cidad V., Hermy M., Mathijs E., Muys B., Reijnders J., Sauvenier X., Valckx J., Vanclooster M., Van der Veken B., Wauters E., Peeters A, SAFE—A hierarchi cal framework for assessi ng the sustainability of agricultural systems , Agriculture, ecosystems & environment, vol. 120.2, pp 229-242, 2007.

  22. Onkov K., Tegos G., Information model for sustainability analysis of fish resources in Greece, Journal of Environmental Protection and E cology, vol. 12 (4A), pp 2177- 2185, 2011.

  23. Sharma T., Carmichael J., Klinkenberg B , Integrated modeling for exploring sustainable agriculture futures, Futures, vol. 38(1), pp 93-113, (2006).

  24. Eerens H., Haesen D., Rembold F., Urbano F., Tote C., Bydekerke L., Image time series processing for agriculture monitoring , Environmental Modelling & Software, vol. 53, pp 154-162, 2014.

  25. Rembold, F., Meroni, M., Urbano, F., Royer, A., Atzberger, C., Lemoine, G., Eerens, H, Haesen, D., Remote sensing time series analysis for crop monitoring with the spirits software: New functionalities and use examples , Frontiers in Environmental Science, vol. 3, pp 1-11, 2015.

  26. Han J., Lakshmanan L.V.S., Ng R.T, Constraint-based, multi-dimensional data mining, Computer, vol. 32, pp 46-50, 1999.

  27. Feng Q., Miao D., Cheng Y., Hierarchical decision rules mining, International Journal of Expert Systems with Applications, vol. 37 (3), pp 2081-2091, 2010.

  28. Garcia A. B., The use of data mining techniques to discover knowledge from animal and food data: Examples related to the cattle industry, Trends in food science and & technology, vol. 29(2), pp 151-157 , 2013.

  29. Onkov, K., Dimova D., Data mining algorithm for analyzing spatial time series on crop production, International Multidisciplinary Scientific GeoConference SGEM, v ol. 1, pp 69-75, 2013.

  30. Ramesh D., Vardhan B. V ., Analysis of crop yield prediction using data mining techniques, International Journal of Research in Engineering and Technology, vol. 4(01), pp 470-473, 2015. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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