Development and dissemination of precision agriculture practices for wheat in Central Anatolia

Yıl 2024, Cilt: 13 Sayı: 2, 74 - 88, 28.12.2024

Turgay Polat , Hakan Yıldız , Metin Aydoğdu , Mehmet Keçeci Armağan Aloe Karabulut , Öztekin Urla Ahmet Çolak , Bahattin Akdemir , Ufuk Türker , Uğur Yegül

https://doi.org/10.21657/soilst.1601778

Öz

According to the results of the analysis of the soil samples taken from the production field in the Research and Application Farm of the Central Research Institute of Field Crops in 2021, a significant relationship was found between yield and NDVI and between yield and organic matter at 0.01 level. There was a significant negative relationship between lime and NDVI at 0.01 level. Increasing lime content negatively affected plant growth, which resulted in a decrease in NDVI. The positive significant correlation between NDVI, organic matter and yield indicates that NDVI value increases with increasing plant biomass. Increased biomass has added more soil organic matter. In 2021, when the yield change depending on NDVI was examined; it was observed that the yield was higher in the central and western parts of the plots where NDVI was higher, and the yield decreased in the eastern parts where the lakeshore strip was located due to the decrease in NDVI. According to the correlation results between the analysis results of soil samples taken from the farmer's field in 2021, yield values and NDVI data; a significant relationship was found between yield value and NDVI, water saturation, EC, organic matter and potassium at 0.01 level. Again, the relationship between yield and phosphorus was determined at 0.05 level. There was a significant negative relationship between yield and lime at 0.05 level.

Anahtar Kelimeler

Wheat, Variable Level Fertilizer Application, Yield Mapping, Analytic Hierarchical Process (AHP), Spatial Change

Kaynakça

• Aramı, S. A., & Ownagh, M. (2017). Assessment of desertification hazard, risk and development of management plans. Desert, 22(1), 51-67. https://doi.org/10.22052/jdee.2020.132125.1035
• Bellitürk, K. (2008) Examination of soils of Thrace region in terms of nitrogen-phosphorus-potassium (referee approved). Hasad (crop Prod) Mon J Agric 24(277):102–106.
• Blackmore, B. S., Wheeler P. N., Morris, J. & Jones, R. J. A. (1994). ‘’ Information Technology in Arable Farming’’ Report for Scottish Heritage; TIBRE Project, 65 p.
• Blackmore, S., & Marshall, C. (1996). 3 rd International Conference on Precision Agriculture. Presented by Agriculture Center, University of Minnesota.
• Bouzekri, A., & Benmessaoud, H. A. (2015). Multicriteria Evaluation about Critical Risk Situations of Desertification in the Region of Eastern Aures (Algeria). Annals of Valahia University of Targoviste. Geographical Series, 2, 85-93.
• Burgees, T.M. & Webster, R. (1980). Optimal Interpolation and Isaritmic Mapping of Soil properties. I. The Variogram and Puntual Kriging. J. Soil Science. 31.315-331. https://doi.org/10.1111/ejss.12749
• Cambardella, C.A., Moorman, T.B., Parkın, T.B., Karlen, D.L., Novak, J.M., Turco, R.F. & Konopka, A.E., (1994). Field-scale variability of soil properties in central Iowa soils. Soil science society of America journal, 58(5), pp.1501-1511. https://doi.org/10.2136/sssaj1994.03615995005800050033x
• Carley, D.S., Jordan, D.L., Dharmasri, L.C., Sutton, T.B., Brandenburg, R.L., & Burton, M.G., (2008). Peanut response to planting date and potential of canopy reflectance as an indicator of pod maturation. Agron. J. 100, 376–380. https://doi.org/10.2134/agronj2006.0352
• Goovaerts, P. (1999). Geostatistics in Soil Science: State Of-The-Art and Perspectives. Geoderma 89:1–45. https://doi.org/10.1016/S0016-7061(98)00078-0
• Guozheng, T., & Maohua, W., (1999). The Development of Grain Yield Monitoring Technology. Proceedings of 99 International Conference on Agricultural Engineering Beijing, China, December.
• Güçdemir, İ., Türker, U., Karabulut, A., Arcak, Ç., Sönmez, B., Usul, M., Bozkurt, M., & Erbılek, E. (2010). Çukurova’da Sulu Mısır Tarımında uydu ve bilgi teknolojileri destekli alana özgü değişken oranlı gübre uygulaması ve işletimi, TÜBİTAK araştırma projesi. 148s. Ankara.
• Idso, S.B., Jackson, R.D., & Reginato, R.J., (1977). Remote sensing of crop yields. Science 196, 19–25. https://doi.org/10.1126/science.196.4285.19
• Jensen, J.R., (1996). “Introductory Digital Image Processing: A remote sensing perspective”, Prentice Hall, 2nd Edition.
• Karabulut, A. (2010). Çukurova’da Alüviyal Bir Tarım Arazisinide Bazı Toprak Verimililik Özelliklerinin Jeoistatistiksel Modellemesi, Doktora Tezi, Ankara Üniverisitesi Fen Bilimleri Enstitüsü-Toprak ABD, 218 s. Ankara.
• Köseoglu, A. T. (1995). Effect of iron chlorosis on mineral composition of peach leaves. J. Plant Nutr. 18, 765–776. https://doi.org/10.1080/01904169509364936
• Lee, W.S., Schueller, J.K., & Burks, T.F., (2005). “Wagon-Based Silage Yield Mapping System”. Agricultural Engineering International: the CIGR EJournal. Vol. VII. Manuscript IT 05 003.August.
• Morgenthaier, G.W., Khatıb, N., & Kim, B., (2003). Incorporating a Constrained Optimization Algorithm into Remote Sensing/Precision Agriculture Methodology, Acta Astronautica 53, 429-437. https://doi.org/10.1016/S0094-5765(03)00134-6
• Mulla, D.J. & Mcbratney, A.B., (2000). Soil spatial variability. p. A321–A352. ME Sumner (ed.) Handbook of soil science. https://doi.org/10.1201/9781420041651.ch9
• Negaresh, H., Rakhshanı, Z., Fıroozı, F., Alınıa, H. (2016). Desertification assessment using the analytic hierarchy process and GIS in southeast Iran. Geografiska Annaler: Series A, Physical Geography, 98(1), 1-14. https://doi.org/10.1111/geoa.12120
• Özcan, O., Musaoğlu, N., & Şeker, D. Z. (2009). Taşkın alanlarının CBS ve uzaktan algılama yardımıyla belirlenmesi ve risk yönetimi: Sakarya Havzası örneği. TMMOB Harita ve Kadastro Mühendisleri Odası, 12, 11-15.
• Saaty, T. (1977). "A scaling method for priorities in hierarchical structures." Journal of mathematical psychology, 15 (3): 234-281. https://doi.org/10.1016/0022-2496(77)90033-5
• Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98. https://doi.org/10.1504/IJSSCI.2008.017590
• Sağlam, M.T., (2005). Gübreler ve Gübreleme (7. Baskı). T.Ü. Tekirdağ Ziraat Fakültesi Yayın No: 149, Ders Kitabı No: 74, Tekirdağ.
• Sabıns, F., (1987). Remote Sensing Principles & Interpretation”, Freeman & Co., N.Y. https://doi.org/10.1017/S0016756800016575
• Trangmar, B.B., Sıngh, U., Yost, R.S. & Uehara, G., (1985). Application of geostatistics for soil survey and land evaluation. In Proceedings of the Fifth International Soil Classification Workshop (pp. 77-96). https://doi.org/10.1016/S0065-2113(08)60673-2
• Tucker, C. (1979). Red and photographic infrared linear combination for monitoring vegetation. Remote sensing of Environment, 8, 127-150. https://doi.org/10.1016/0034-4257(79)90013-0
• Vellıdıs, G., Perry, C.D., Durrence, J.S., Thomas, D.L., Hill, R.W., Kvien, C.K., Hamrita, T.K., & Rains, G., (2000). The Peanut Yield Monitoring Sistem. Power & Machinery Division of ASAE. Presented the 2000 ASAE Annual Meeting as Paper No. 00–1128.
• Wang MaoHua, W. M. (1999). Development of precision agriculture and innovation of engineering technologies. https://doi.org/10.1016/S0168-1699(00)00154-X
• Wiegand, C.L., Richardson, A.J., & Kanemasu, E.T., (1979). Leaf area index estimates for wheat from Landsat and their implications for evapotranspiration and modeling. Agron. J. 71, 336–342. https://doi.org/10.1016/0034-4257(85)90061-6
• Wind, Y., & Saaty, T. L. (1980). Marketing applications of the analytic hierarchy process. Management science, 26(7), 641-658. https://doi.org/10.1287/mnsc.26.7.641
• Yıldız, H., Mermer, A., Ünal, Ediz & Akbaş, F. (2012). Türkiye bitki örtüsünün NDVI verileri ile zamansal ve mekansal analizi. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 21(2), 50-56.