IDEAS home Printed from https://ideas.repec.org/a/apb/jaterr/2018p214-221.html
   My bibliography  Save this article

Transfer of the data preprocessing parameters and fore- casting models

Author

Listed:
  • Arthur Stepchenko

    (Riga Technical University, Riga, Latvia)

  • Jurij Chizhov

    (Riga Technical University, Riga, Latvia)

  • Ludmila Aleksejeva

    (Riga Technical University, Riga, Latvia)

Abstract

Analysis and forecasting of the life cycle of vegetation are essential in planning agricultural work as well as moni- toring of agricultural crops and forecasting their productivity. In practice, vegetation indices are often used that are calculated from the values of satellite image pixels like Normalized Difference Vegetation Index (NDVI). Forecast- ing of this index in precision agriculture allows indicating problems which are related to agricultural crop growth in time and make timely decisions about necessary measures to fix these problems. In the paper transferring ap- proach for data preprocessing parameters and forecasting model is developed that provides forecasting of other normalized vegetation index time series without new preprocessing and training if the Euclidean distance between the time series used in the training and the time series using the data processing parameters and the forecasting model is small enough.

Suggested Citation

  • Arthur Stepchenko & Jurij Chizhov & Ludmila Aleksejeva, 2018. "Transfer of the data preprocessing parameters and fore- casting models," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 4(6), pages 214-221.
    • Handle: RePEc:apb:jaterr:2018:p:214-221
    DOI: 10.20474/jater-4.6.1
    as

    Download full text from publisher

    File URL: https://tafpublications.com/platform/Articles/full-jater4.6.1.php
    Download Restriction: no
    File URL: https://tafpublications.com/gip_content/paper/Jater-4.6.1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.20474/jater-4.6.1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Y. X. Lee & Z. W. Zhong, 2016. "A study of the relationship between adverse weather conditions and flight delay," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(4), pages 112-117.
    2. Gagari Chakrabarti & Chitrakalpa Sen, 2012. "Anatomy of Global Stock Market Crashes," SpringerBriefs in Economics, Springer, edition 127, number 978-81-322-0463-3, June.
    3. Ani Shabri & Ruhaidah Samsudin, 2014. "Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, July.
    4. Reni Suryanita & Harnedi Maizir & Hendra Jingga, 2017. "Prediction of Structural Response Based on Ground Acceleration Using Artificial Neural Networks," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(2), pages 74-83.
    5. Christine Lourrine S. Tablatin & Frederick F. Patacsil & Paulo V. Cenas, 2016. "Design and development of an information technology fundamentals multimedia courseware for dynamic learning environment," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 2(6), pages 202-210.
    6. Templ, Matthias & Kowarik, Alexander & Filzmoser, Peter, 2011. "Iterative stepwise regression imputation using standard and robust methods," Computational Statistics & Data Analysis, Elsevier, vol. 55(10), pages 2793-2806, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikola Štefelová & Andreas Alfons & Javier Palarea-Albaladejo & Peter Filzmoser & Karel Hron, 2021. "Robust regression with compositional covariates including cellwise outliers," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(4), pages 869-909, December.
    2. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    3. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    4. Chi Yang & Sylvester Abanteriba & Neng Zhang & Andrew Becker, 2018. "Design and analysis of thermally actuated flaps with em- bedded shape memory alloys," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 4(5), pages 191-196.
    5. Hosseini, Seyed Hossein & Shakouri G., Hamed & Kazemi, Aliyeh, 2021. "Oil price future regarding unconventional oil production and its near-term deployment: A system dynamics approach," Energy, Elsevier, vol. 222(C).
    6. Cristopher C. Abalorio & Monalee dela Cerna, 2018. "Course Evaluation Generator (CEG): An Automated Academic Advising System with Optical Character Recognition," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 4(5), pages 189-196.
    7. Francesco Smarra & Giovanni Domenico Di Girolamo & Vincenzo Gattulli & Fabio Graziosi & Alessandro D’Innocenzo, 2020. "Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests," Journal of Optimization Theory and Applications, Springer, vol. 187(3), pages 855-874, December.
    8. Rianto & Muhammad Fachrie, 2019. "Development of Educational Data Mining Model for Predicting Student Punctuality and Graduation Predicate," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 5(5), pages 151-156.
    9. Pavlo Mozharovskyi & Julie Josse & François Husson, 2017. "Nonparametric imputation by data depth," Working Papers 2017-72, Center for Research in Economics and Statistics.
    10. Alfons, Andreas & Templ, Matthias, 2013. "Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i15).
    11. Chiu-Cheng Kuo & Fei-Chuan Chen, 2018. "The Effect of Hands-on Practice on Improving the Innovation Ability of High School Students - Smart Safety Socket," Journal of ICT, Design, Engineering and Technological Science, Juhriyansyah Dalle, vol. 2(2), pages 47-50.
    12. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    13. Pornthip Liewtrakul & Katawut Kaewbanjong, 2017. "A Semantic Web Service Retrieval Approach that Combines Semantic Matching With Quality of Service Matching," Journal of ICT, Design, Engineering and Technological Science, Juhriyansyah Dalle, vol. 1(2), pages 42-47.
    14. Morehart, Mitch & Milkove, Dan & Xu, Yang, 2014. "Multivariate Farm Debt Imputation in the Agricultural Resource Management Survey (ARMS)," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169401, Agricultural and Applied Economics Association.
    15. Cherl Nino M. Locsin & Rosana J. Ferolin, 2018. "Neural networks application for water distribution demand-driven decision support system," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 4(4), pages 160-175.
    16. Frahm, Gabriel & Nordhausen, Klaus & Oja, Hannu, 2020. "M-estimation with incomplete and dependent multivariate data," Journal of Multivariate Analysis, Elsevier, vol. 176(C).
    17. Kowarik, Alexander & Templ, Matthias, 2016. "Imputation with the R Package VIM," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i07).
    18. Michael E. Acosta & Frederick F. Patacsil & Caren L. Ambat & Christine Lourrine S. Tablatin, 2017. "Design And Development Of An Electronically Generated Table Of Specifications (Tos)," International Journal of Humanities, Arts and Social Sciences, Dr. Mohammad Hamad Al-khresheh, vol. 3(4), pages 171-183.
    19. Wasim Ahmad & N. Bhanumurthy & Sanjay Sehgal, 2015. "Regime dependent dynamics and European stock markets: Is asset allocation really possible?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(1), pages 77-107, February.
    20. Arora, Swapan Deep & Mathur, Sameer, 2020. "Effect of airline choice and temporality on flight delays," Journal of Air Transport Management, Elsevier, vol. 86(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:apb:jaterr:2018:p:214-221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: A/Professor Akbar A. Khatibi (email available below). General contact details of provider: https://tafpublications.com/platform/published_papers/10 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.