Araştırma Makalesi
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Cotton production forecasts of Azerbaijan in the 2023-2027 periods

Yıl 2023, , 235 - 245, 05.07.2023
https://doi.org/10.20289/zfdergi.1296642

Öz

Objective: The objective of this study was to estimate the production area and amount for the years 2023-2027, taking into account the 1992-2022 cotton production area and production data of Azerbaijan, one of the countries that left the Union of Soviet Socialist Republics (USSR) in 1992.
Material and methods: The data used in this study were obtained from FAOSTAT and the State Statistical Committee of the Republic of Azerbaijan. The ARIMA method, which is one of the most commonly used methods for univariate time-series estimation, was used in this study.
Results: It was estimated that the production area will decrease continuously in 2023-2027, the average production area and production will be 91,942 ha and 324,156 tons, respectively, and the yield will be 3,549 kg/ha in these five years.
Conclusion: These results indicated that although the increase in productivity in Azerbaijan provides a significant increase in production, the production area should also be increased to become one of the leading countries in the world market. For this, government support needs to be increased.

Kaynakça

  • Afrifa-Yamoah, E., 2015. Application of ARIMA models in forecasting monthly average surface temperature of Brong Ahafo Region of Ghana. International Journal of Statistics and Applications, 5 (5): 237-246. https: //doi: 10.5923/j.statistics.20150505.08
  • Ahmadova, E., 2020. “Adaptive method of econometric modeling and forecasting of Azerbaijan's GDP, 184-193”. Proceeding of 55th International Scientific Conference on Economic and Social Development (June 18-19 2020, Baku-Azerbaijan). Varazdin Development and Entrepreneurship Agency, 873 pp.
  • Akgül, I., 2003. Analysis of Time Series and ARIMA Models. Der Publications, Istanbul-Turkey, 148 pp.
  • Aliyev, S., 2009. History of cotton agriculture and cotton products in Azerbaijan. Journal of History and Its Problems, 1 (1): 399-403.
  • Basaran Caner, C. & S. Engindeniz, 2020. Estimating of cotton production of Turkey using ARIMA model. Turkish Journal of Agricultural Economics, 26 (1): 63-70. https: //doi.org/10.24181/tarekoder.681079
  • Bayramli, G., 2016. The past and present of cotton cultivation in Azerbaijan. The Journal of International Scientific Researches, 1 (2): 16-23. https: //doi.org/10.23834/isrjournal.251520
  • Borkar, P. & P.M. Tayade, 2016. Forecasting of cotton production in India using ARIMA models. International Journal of Research in Economics and Social Sciences, 6 (5): 1-7.
  • Darekar, A. & A.A. Reddy, 2017. Cotton price forecasting in major producing states. Economic Affairs, 62 (3): 373-378. https: //doi.org/10.5958/0976-4666.2017.00047.X
  • Debnath, M.K., K. Bera & P. Mishra, 2013. Forecasting area, production and yield of cotton in India using ARIMA model. Research and Reviews: Journal of Space Science and Technology, 2 (1): 16-20.
  • Du, Y., 2018. “Application and analysis of forecasting stock price index based on combination of ARIMA model and BP neural network, 2854-2857”. Proceeding of 2018 Chinese Control and Decision Conference (June 9-11, 2018, Shenyang-China). Institute of Electrical and Electronics Engineers, 693 pp.
  • Elsamie, M.A., T. Ali & D. Zhou, 2021. Using a dynamic time series model (ARIMA) for forecasting of Egyptian cotton crop variables. The Journal of Animal and Plant Sciences, 31 (3): 810-823.
  • FAOSTAT, 2023. Crop Production and Trade Statistics. (Web page: http: //www.fao.org/faostat/en/#home) (Date accessed: March 2023).
  • Ghosh, S., 2017. Forecasting Cotton Exports in India using the ARIMA model. Amity Journal of Economics, 2 (2): 36-52.
  • Gulaliyev, M.G., S.T. Abasova, E.R. Samedova, L.A. Hamidova, S. Valiyeva & L.R. Serttash, 2019. Assessment of agricultural sustainability (Azerbaijan Case). Bulgarian Journal of Agricultural Science, 25 (Suppl. 2): 80-89.
  • Guseinov, A., F. Babaev & A. Eminbeili, 1979. Wilt resistant varieties from the collection of the Azerbaijan Scientific-Research Cotton Institute. Khlopkovodstvo, 9 (1): 35-36.
  • Hosny, S., E. Elsaid & H. Hosny, 2023. Prediction of construction material prices using ARIMA and multiple regression models. Asian Journal of Civil Engineering, 1-20. https: //doi.org/10.1007/s42107-023-00597-2.
  • Kusuma, G., V. Venkata Krishna & N. Naga Vardhanam, 2018. Forecasting model of cotton production in Andhra Pradesh using auto regressive integrated moving average (ARIMA). International Journal of Management, Technology and Engineering, 8 (12): 168-179.
  • Mammadov, T., 2023. Azerbaijan natural gas production 2022-2024 forecast by ARIMA (0,1,2) method. International. Journal of Latest Research in Humanities and Social Science, 6 (1): 39-47.
  • Mayuri Barai, M., G. Yadav & A. Khamborkar, 2020. Forecasting of cotton production in Nagpur District of Maharashtra India. International Journal of Science and Research, 9 (12): 1556-1561. https: //doi.org/10.21275/SR201225183516
  • Mishra, A.K., S. Singh, S. Gupta, S. Gupta & R.K. Upadhyay, 2022. Forecasting future trends in crude oil production in India by using Box-Jenkins ARIMA. AIP Conference Proceedings, 2481: 1-11. https://doi.org/10.1063/5.0103682.
  • Mishra, S, D.K. Swain, D. Mishra & G.H. Santra, 2021. “Time series analysis of rainfall for Puri District of Odisha using ARIMA modelling, 419-426”. In: Intelligent and Cloud Computing. (Eds. S. Mishra, D.K. Swain, D. Mishra & G.H. Santra), Springer- Singapore, 834 pp.
  • Mohanapriya, M. & P.S. Ganapat, 2021. Forecasting futures trading volume for cotton using vector auto regression and ARIMA Model. Madras Agricultural Journal, 107 (10-12): 1-4. https: //doi.org/10.29321/MAJ.10.000550
  • Mombekova, G., G. Turysbekova & A. Baimbetova, 2016. Managing ınnovational processes at cotton processing enterprises in Central Asia Countries. International Journal of Economics and Financial Issues, 6 (Special Issue-2): 164-171.
  • Muradzada, F., 2021. Cotton industry in Azerbaijan. Capstone Project, ADA University. Baku-Azerbaijan, 42 pp.
  • Mursalov, E., K. Mammadov, Z. Kazimov & R. Shahbazov, 2020. Development of the cotton industry and its socio-economic impact on the Azerbaijan economy. Research Paper. ADA University. Baku-Azerbaijan. 12 pp.
  • Ozer, O.O. & U. Ilkdogan, 2013. The World cotton price forecasting by using Box-Jenkins model. Journal of Tekirdag Agricultural Faculty, 2 (10): 13-20.
  • Prikhodko, D,, B. Sterk, Y. Ishihara, F. Mancini, H. Muminjanov & H. Weissen, 2019. Azerbaijan: cotton sector review. FAO Investment Centre Country Highlights. Rome, FAO, 37 pp.
  • Rayasingh, M. & A.B. Debasis Rout, 2021. Forecasting of cotton prices in major producing states using ARIMA. International Engineering. Journal for Research and Development 6: 1-8. https: //doi.org/10.17605/OSF.IO/93CSB
  • SAS, 2014. SAS 13.2 User’s Guide the ARIMA Procedure. SAS Institute Inc., Cary, NC, USA. (Web page: https: //support.sas.com/documentation/onlinedoc/ets/132/ARIMA.pdf) (Date accessed: March 2023).
  • Seyidaliev, N.Y., K. Khalilov & M.Z. Mamedova, 2021. Influence of different seeding methods and fertilization rates on the structural performace of cotton varieties. Research in Agricultural and Veterinary Sciences, 5 (3): 117-120.
  • Seyidaliyev, N.Y. & M.Z. Mamedova, 2018. Effect of integrated agronomic practices on the growth of cotton. World Science, 2 (2): 7-8.
  • Seyidaliyev, N.Y., A.O. Hasanova, & M.Z. Mamedova, 2018. Effect of integrated agronomic practices on the growth and development of cotton. European Sciences Review, 1-2: 204-209.
  • Shumway, R.H., & D.S. Stoffer, 2000. Time Series Analysis and Its Applications. Springer Texts in Statistics, Springer Science and Business Media, New York, 543 pp.
  • Sivri, U., 2016. “Investigation of time series properties of Azerbaijan gross domestic product series, 515-520”. Proceeding of Third International Symposium on Turkic World Studies (25-27 May 2016, Baku-Azerbaijan), Baku Eurasian University, 588 pp.
  • Tagiyev, A.A., 2015. Agrobiological, economic value and technological quality indicators of fiber of new regionalized and promising cotton varieties. Azerbaijan Agrarian Scientific Journal, 2: 52-55.
  • Tagiyeva, L., 2020. “The role of cotton in the development of regions, 652-657”. Proceeding of 55th International Scientific Conference on Economic and Social Development (18-19 June 2020, Baku-Azerbaijan), Varazdin Development and Entrepreneurship Agency, 873 pp.
  • Tagiyeva, l., 2021. “Improving state Support for the Development of the Cotton Sector in Azerbaijan, 375-380”. Proceeding of 70th International Scientific Conference on Economic and Social Development (25-26 June 2021, Baku-Azerbaijan), Varazdin Development and Entrepreneurship Agency and University North, 1207 pp.
  • Tarmanini, C., N. Sarma, C. Gezegin & O. Ozgonenel, 2023. Short term load forecasting based on ARIMA and ANN approaches. Energy Reports, 9: 550-557.
  • Tekindal, M.A., H. Yonar, A. Yonar, M. Tekindal, M.B. Cevrimli, H. Alkan & B. Mat, 2020. Analyzing COVID-19 Outbreak for Turkey and Eight Country with Curve Estimation Models, Box-jenkins (ARIMA), Brown Linear Exponential Smoothing Method, Autoregressive Distributed Lag (ARDL) and SEIR Models. Eurasian Journal of Veterinary Sciences, 36 (Covid-19 Special Iss): 142-155. https: //doi.org/10.15312/EurasianJVetSci.2020.304
  • The Ministry of Agriculture of the Republic of Azerbaijan, 2023. Agricultural Supports. (Web page: https://www.agro.gov.az/en) (Date accessed: April 2023).
  • The State Statistical Committee of the Republic of Azerbaijan, 2023. Crop production and trade statistics. (Web page: https: //www.stat.gov.az/search/?q=cotton) (Date accessed: April 2023).
  • Türkekul, B. & Ç. Kantur, 2021. International competitiveness of the Turkish cotton and cotton weaving products: a constant market share and revealed comparative advantage analysis. Journal of Agriculture Faculty of Ege University, 58 (4): 615-628. https: //doi.org/10.20289/zfdergi.871428
  • Umar, S.N., W. Krishna, B.R. Murthi, T. Gangaram & P.S. Aali, 2017. Forecasting of cotton area, production, productivity using ARIMA models in Andhra Pradesh. Bulletin of Environment, Pharmacology and Life Sciences, 6 (3): 138-141.
  • Uzundumlu, A.S., A. Bilgic & N. Ertek, 2019. Prediction of hazelnut production quantity with the ARIMA model of Turkey's provinces leading hazelnut production in the last seven years. Academic Journal of Agriculture, 8: 115-126. http: //doi.org/10.29278/azd.591588
  • Uzundumlu, A.S. & M. Dilli, 2023. Estimating chicken meat productions of leader countries for 2019-2025 years. Ciência Rural, 53 (2): 1-12. https: //doi.org/10.1590/0103-8478cr20210477
  • Wali, V.B., D. Beeraladinni, & H. Lokesh, 2017. Forecasting of area and production of cotton in India: an application of ARIMA Model. International Journal of Pure and Applied Bioscience, 5 (5): 341-347. https: //doi.org/10.18782/2320-7051.5409
  • Wang, J. & W. Pan, 2022. “Flight delay prediction based on ARIMA, 186-190”. Proceeding of International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) (22-24 July 2022, Shijiazhuang-China), The Institute of Electrical and Electronics Engineers, 895 pp.
  • Zeynalova, A. & S. Engindeniz, 2023. “An evaluation on the sustainability of cotton growing in Azerbaijan, 188-200”. Proceeding of Avrasya 7th International Conference on Applied Sciences (10-12 March 2023, Budapest-Hungary), Academy Global Publishing House, 449 pp.
  • Zeynalova, A., 2022. Study of sowing quality, oiliness and resistance to wilt disease of seeds of geographically distant cotton varieties. Research in: Agricultural and Veterinary Sciences, 6 (2): 104-110.
  • Zhang, Y. & G. Meng, 2023. Simulation of an adaptive model based on AIC and BIC ARIMA predictions. Journal of Physics: Conference Series, 2449 (2023): 1-8. https: //doi.org/10.1088/1742-6596/2449/1/012027

Azerbaycan'ın 2023-2027 dönemi pamuk üretim tahminleri

Yıl 2023, , 235 - 245, 05.07.2023
https://doi.org/10.20289/zfdergi.1296642

Öz

Amaç: Bu araştırma, 1992 yılında Sovyet Sosyalist Cumhuriyetler Birliği'nden (SSCB) ayrılan ülkelerden biri olan Azerbaycan'ın 1992-2022 pamuk üretim alanı ve üretim verilerini dikkate alarak 2023-2027 yılları için üretim alanı ve miktarını tahmin etmeyi amaçlamaktadır.
Materyal ve Yöntem: Bu araştırmada kullanılan veriler FAOSTAT ve Azerbaycan Cumhuriyeti Devlet İstatistik Komitesinden temin edilmiştir. Araştırmada, tek değişkenli zaman serisi tahmini için en yaygın kullanılan yöntemlerden biri olan ARIMA yöntemi kullanılmıştır.
Araştırma Bulguları: 2023-2027 yıllarında üretim alanının sürekli bir düşüş yaşayacağı, ortalama üretim alanı ve üretimin sırasıyla 91.942 ha ve 324.156 ton olacağı, verimin ise ortalama 3.549 kg/ha olacağı tahmin edilmektedir.
Sonuç: Bu sonuçlar göstermektedir ki, Azerbaycan'da verimlilik artışı üretimde önemli bir artış sağlamakla birlikte, dünya pazarında lider ülkelerden biri olabilmek için üretim alanının da artırılması gerekmektedir. Bunun için destekler arttırılmalıdır.

Kaynakça

  • Afrifa-Yamoah, E., 2015. Application of ARIMA models in forecasting monthly average surface temperature of Brong Ahafo Region of Ghana. International Journal of Statistics and Applications, 5 (5): 237-246. https: //doi: 10.5923/j.statistics.20150505.08
  • Ahmadova, E., 2020. “Adaptive method of econometric modeling and forecasting of Azerbaijan's GDP, 184-193”. Proceeding of 55th International Scientific Conference on Economic and Social Development (June 18-19 2020, Baku-Azerbaijan). Varazdin Development and Entrepreneurship Agency, 873 pp.
  • Akgül, I., 2003. Analysis of Time Series and ARIMA Models. Der Publications, Istanbul-Turkey, 148 pp.
  • Aliyev, S., 2009. History of cotton agriculture and cotton products in Azerbaijan. Journal of History and Its Problems, 1 (1): 399-403.
  • Basaran Caner, C. & S. Engindeniz, 2020. Estimating of cotton production of Turkey using ARIMA model. Turkish Journal of Agricultural Economics, 26 (1): 63-70. https: //doi.org/10.24181/tarekoder.681079
  • Bayramli, G., 2016. The past and present of cotton cultivation in Azerbaijan. The Journal of International Scientific Researches, 1 (2): 16-23. https: //doi.org/10.23834/isrjournal.251520
  • Borkar, P. & P.M. Tayade, 2016. Forecasting of cotton production in India using ARIMA models. International Journal of Research in Economics and Social Sciences, 6 (5): 1-7.
  • Darekar, A. & A.A. Reddy, 2017. Cotton price forecasting in major producing states. Economic Affairs, 62 (3): 373-378. https: //doi.org/10.5958/0976-4666.2017.00047.X
  • Debnath, M.K., K. Bera & P. Mishra, 2013. Forecasting area, production and yield of cotton in India using ARIMA model. Research and Reviews: Journal of Space Science and Technology, 2 (1): 16-20.
  • Du, Y., 2018. “Application and analysis of forecasting stock price index based on combination of ARIMA model and BP neural network, 2854-2857”. Proceeding of 2018 Chinese Control and Decision Conference (June 9-11, 2018, Shenyang-China). Institute of Electrical and Electronics Engineers, 693 pp.
  • Elsamie, M.A., T. Ali & D. Zhou, 2021. Using a dynamic time series model (ARIMA) for forecasting of Egyptian cotton crop variables. The Journal of Animal and Plant Sciences, 31 (3): 810-823.
  • FAOSTAT, 2023. Crop Production and Trade Statistics. (Web page: http: //www.fao.org/faostat/en/#home) (Date accessed: March 2023).
  • Ghosh, S., 2017. Forecasting Cotton Exports in India using the ARIMA model. Amity Journal of Economics, 2 (2): 36-52.
  • Gulaliyev, M.G., S.T. Abasova, E.R. Samedova, L.A. Hamidova, S. Valiyeva & L.R. Serttash, 2019. Assessment of agricultural sustainability (Azerbaijan Case). Bulgarian Journal of Agricultural Science, 25 (Suppl. 2): 80-89.
  • Guseinov, A., F. Babaev & A. Eminbeili, 1979. Wilt resistant varieties from the collection of the Azerbaijan Scientific-Research Cotton Institute. Khlopkovodstvo, 9 (1): 35-36.
  • Hosny, S., E. Elsaid & H. Hosny, 2023. Prediction of construction material prices using ARIMA and multiple regression models. Asian Journal of Civil Engineering, 1-20. https: //doi.org/10.1007/s42107-023-00597-2.
  • Kusuma, G., V. Venkata Krishna & N. Naga Vardhanam, 2018. Forecasting model of cotton production in Andhra Pradesh using auto regressive integrated moving average (ARIMA). International Journal of Management, Technology and Engineering, 8 (12): 168-179.
  • Mammadov, T., 2023. Azerbaijan natural gas production 2022-2024 forecast by ARIMA (0,1,2) method. International. Journal of Latest Research in Humanities and Social Science, 6 (1): 39-47.
  • Mayuri Barai, M., G. Yadav & A. Khamborkar, 2020. Forecasting of cotton production in Nagpur District of Maharashtra India. International Journal of Science and Research, 9 (12): 1556-1561. https: //doi.org/10.21275/SR201225183516
  • Mishra, A.K., S. Singh, S. Gupta, S. Gupta & R.K. Upadhyay, 2022. Forecasting future trends in crude oil production in India by using Box-Jenkins ARIMA. AIP Conference Proceedings, 2481: 1-11. https://doi.org/10.1063/5.0103682.
  • Mishra, S, D.K. Swain, D. Mishra & G.H. Santra, 2021. “Time series analysis of rainfall for Puri District of Odisha using ARIMA modelling, 419-426”. In: Intelligent and Cloud Computing. (Eds. S. Mishra, D.K. Swain, D. Mishra & G.H. Santra), Springer- Singapore, 834 pp.
  • Mohanapriya, M. & P.S. Ganapat, 2021. Forecasting futures trading volume for cotton using vector auto regression and ARIMA Model. Madras Agricultural Journal, 107 (10-12): 1-4. https: //doi.org/10.29321/MAJ.10.000550
  • Mombekova, G., G. Turysbekova & A. Baimbetova, 2016. Managing ınnovational processes at cotton processing enterprises in Central Asia Countries. International Journal of Economics and Financial Issues, 6 (Special Issue-2): 164-171.
  • Muradzada, F., 2021. Cotton industry in Azerbaijan. Capstone Project, ADA University. Baku-Azerbaijan, 42 pp.
  • Mursalov, E., K. Mammadov, Z. Kazimov & R. Shahbazov, 2020. Development of the cotton industry and its socio-economic impact on the Azerbaijan economy. Research Paper. ADA University. Baku-Azerbaijan. 12 pp.
  • Ozer, O.O. & U. Ilkdogan, 2013. The World cotton price forecasting by using Box-Jenkins model. Journal of Tekirdag Agricultural Faculty, 2 (10): 13-20.
  • Prikhodko, D,, B. Sterk, Y. Ishihara, F. Mancini, H. Muminjanov & H. Weissen, 2019. Azerbaijan: cotton sector review. FAO Investment Centre Country Highlights. Rome, FAO, 37 pp.
  • Rayasingh, M. & A.B. Debasis Rout, 2021. Forecasting of cotton prices in major producing states using ARIMA. International Engineering. Journal for Research and Development 6: 1-8. https: //doi.org/10.17605/OSF.IO/93CSB
  • SAS, 2014. SAS 13.2 User’s Guide the ARIMA Procedure. SAS Institute Inc., Cary, NC, USA. (Web page: https: //support.sas.com/documentation/onlinedoc/ets/132/ARIMA.pdf) (Date accessed: March 2023).
  • Seyidaliev, N.Y., K. Khalilov & M.Z. Mamedova, 2021. Influence of different seeding methods and fertilization rates on the structural performace of cotton varieties. Research in Agricultural and Veterinary Sciences, 5 (3): 117-120.
  • Seyidaliyev, N.Y. & M.Z. Mamedova, 2018. Effect of integrated agronomic practices on the growth of cotton. World Science, 2 (2): 7-8.
  • Seyidaliyev, N.Y., A.O. Hasanova, & M.Z. Mamedova, 2018. Effect of integrated agronomic practices on the growth and development of cotton. European Sciences Review, 1-2: 204-209.
  • Shumway, R.H., & D.S. Stoffer, 2000. Time Series Analysis and Its Applications. Springer Texts in Statistics, Springer Science and Business Media, New York, 543 pp.
  • Sivri, U., 2016. “Investigation of time series properties of Azerbaijan gross domestic product series, 515-520”. Proceeding of Third International Symposium on Turkic World Studies (25-27 May 2016, Baku-Azerbaijan), Baku Eurasian University, 588 pp.
  • Tagiyev, A.A., 2015. Agrobiological, economic value and technological quality indicators of fiber of new regionalized and promising cotton varieties. Azerbaijan Agrarian Scientific Journal, 2: 52-55.
  • Tagiyeva, L., 2020. “The role of cotton in the development of regions, 652-657”. Proceeding of 55th International Scientific Conference on Economic and Social Development (18-19 June 2020, Baku-Azerbaijan), Varazdin Development and Entrepreneurship Agency, 873 pp.
  • Tagiyeva, l., 2021. “Improving state Support for the Development of the Cotton Sector in Azerbaijan, 375-380”. Proceeding of 70th International Scientific Conference on Economic and Social Development (25-26 June 2021, Baku-Azerbaijan), Varazdin Development and Entrepreneurship Agency and University North, 1207 pp.
  • Tarmanini, C., N. Sarma, C. Gezegin & O. Ozgonenel, 2023. Short term load forecasting based on ARIMA and ANN approaches. Energy Reports, 9: 550-557.
  • Tekindal, M.A., H. Yonar, A. Yonar, M. Tekindal, M.B. Cevrimli, H. Alkan & B. Mat, 2020. Analyzing COVID-19 Outbreak for Turkey and Eight Country with Curve Estimation Models, Box-jenkins (ARIMA), Brown Linear Exponential Smoothing Method, Autoregressive Distributed Lag (ARDL) and SEIR Models. Eurasian Journal of Veterinary Sciences, 36 (Covid-19 Special Iss): 142-155. https: //doi.org/10.15312/EurasianJVetSci.2020.304
  • The Ministry of Agriculture of the Republic of Azerbaijan, 2023. Agricultural Supports. (Web page: https://www.agro.gov.az/en) (Date accessed: April 2023).
  • The State Statistical Committee of the Republic of Azerbaijan, 2023. Crop production and trade statistics. (Web page: https: //www.stat.gov.az/search/?q=cotton) (Date accessed: April 2023).
  • Türkekul, B. & Ç. Kantur, 2021. International competitiveness of the Turkish cotton and cotton weaving products: a constant market share and revealed comparative advantage analysis. Journal of Agriculture Faculty of Ege University, 58 (4): 615-628. https: //doi.org/10.20289/zfdergi.871428
  • Umar, S.N., W. Krishna, B.R. Murthi, T. Gangaram & P.S. Aali, 2017. Forecasting of cotton area, production, productivity using ARIMA models in Andhra Pradesh. Bulletin of Environment, Pharmacology and Life Sciences, 6 (3): 138-141.
  • Uzundumlu, A.S., A. Bilgic & N. Ertek, 2019. Prediction of hazelnut production quantity with the ARIMA model of Turkey's provinces leading hazelnut production in the last seven years. Academic Journal of Agriculture, 8: 115-126. http: //doi.org/10.29278/azd.591588
  • Uzundumlu, A.S. & M. Dilli, 2023. Estimating chicken meat productions of leader countries for 2019-2025 years. Ciência Rural, 53 (2): 1-12. https: //doi.org/10.1590/0103-8478cr20210477
  • Wali, V.B., D. Beeraladinni, & H. Lokesh, 2017. Forecasting of area and production of cotton in India: an application of ARIMA Model. International Journal of Pure and Applied Bioscience, 5 (5): 341-347. https: //doi.org/10.18782/2320-7051.5409
  • Wang, J. & W. Pan, 2022. “Flight delay prediction based on ARIMA, 186-190”. Proceeding of International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) (22-24 July 2022, Shijiazhuang-China), The Institute of Electrical and Electronics Engineers, 895 pp.
  • Zeynalova, A. & S. Engindeniz, 2023. “An evaluation on the sustainability of cotton growing in Azerbaijan, 188-200”. Proceeding of Avrasya 7th International Conference on Applied Sciences (10-12 March 2023, Budapest-Hungary), Academy Global Publishing House, 449 pp.
  • Zeynalova, A., 2022. Study of sowing quality, oiliness and resistance to wilt disease of seeds of geographically distant cotton varieties. Research in: Agricultural and Veterinary Sciences, 6 (2): 104-110.
  • Zhang, Y. & G. Meng, 2023. Simulation of an adaptive model based on AIC and BIC ARIMA predictions. Journal of Physics: Conference Series, 2449 (2023): 1-8. https: //doi.org/10.1088/1742-6596/2449/1/012027
Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat, Veterinerlik ve Gıda Bilimleri, Tarım Politikaları
Bölüm Makaleler
Yazarlar

Ahmet Semih Uzundumlu 0000-0001-9714-2053

Aytan Zeynalova 0000-0001-6672-9142

Sait Engindeniz 0000-0002-7371-3330

Erken Görünüm Tarihi 18 Temmuz 2023
Yayımlanma Tarihi 5 Temmuz 2023
Gönderilme Tarihi 13 Mayıs 2023
Kabul Tarihi 4 Haziran 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Uzundumlu, A. S., Zeynalova, A., & Engindeniz, S. (2023). Cotton production forecasts of Azerbaijan in the 2023-2027 periods. Journal of Agriculture Faculty of Ege University, 60(2), 235-245. https://doi.org/10.20289/zfdergi.1296642

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