BibTex RIS Kaynak Göster

Investigation of a novel soil analysis method in agricultural areas of Çarşamba plain for fertilizer recommendation

Yıl 2014, Cilt: 3 Sayı: 2, 123 - 130, 21.11.2014
https://doi.org/10.18393/ejss.24169

Öz

In this study, a novel soil analysis method for fertilization recommendation was developed and validated with 161 soil samples taken from Turkey - Çarşamba plain for determination of potassium as a plant nutrient. In conventional soil analysis methods, available potassium (K) nutrient was determined by ammonium acetate extraction with flame photometer. In this study an alternative to existing method was proposed by developing extraction solutions suitable for interference dynamics of ion selective electrodes in a flow injection setup. Flow injection analysis system was optimized and K ion concentration of 161 soil samples taken from Turkey – Çarşamba plain was determined with potentiometrically. For the same soil samples, K+ ion concentration was determined with ammonium acetate extraction using flame photometer in parallel. Fertilization recommendations for potassium was calibrated on ammonium acetate extraction based measurements. In order to evaluate available potassium nutrient analysis results from new generation soil analysis method in fertilization recommendation process, a correlation model is required for relating new generation method results to conventional method results. An artificial neural network based soft sensor system was developed for this task. Potentiometric K+ ion measurement of soil sample in flow injection analysis system was presented as input to soft sensor system. Soft sensor predicted available K in soil sample based on artificial neural network model which can be used in fertilizer recommendation. Prediction performance of soft sensor was validated with experimental data and fitted with high correlation coefficient (R2= 0.902). Experimental studies have shown that K determined by potentiometric measurements can be used in fertilization recommendations in Çarşamba plain by using soft sensor approach.

Kaynakça

  • Adamchuk, V.I., Lund, E.D., Sethuramasamyraja, B., Morgan, M.T., Dobermann, A., Marx, D.B., 2005. Direct measurement of soil chemical properties on-the-go using ion-selective electrodes. Computers and Electronics in Agriculture. 48,272–294
  • Adamchuk, V.I., Hummel, J.W., Morgan, M.T., Upadhyaya, S.K., 2004. On-the-go soil sensors for precision agriculture. Computers and Electronics in Agriculture. 44, 71–91
  • Birrell, S.J., Hummel, J.W., 2001. Real-time multi ISFET/FIA soil analysis system with automatic sample extraction. Computers and Electronics in Agriculture 32, 45–67
  • Bishop, C.M., 1995. Neural Network for Pattern Recognition, Oxford University Press, 116p..
  • Bortolon, L., Gıanello, C., Welter, S., Almeıda, R.G.O., Gıasson, E., 2011. Simultaneous extraction of phosphorus, potassium, calcium and magnesium from soils and potassium recommendations for crops in southern brazil. Pedosphere 21(3), 365–372
  • Cieśla, J., Ryżak, M., Bieganowski, A., Tkaczyk, P., Walczak, R.T., 2007. Use of ion-selective electrodes for determination of content of potassium in egner-rhiem soil extracts. Research in Agricultural Engineering 53(1): 29–33
  • Dufour, P., Bhartiya, S., Dhurjati P. S., Francis J. Doyle III. 2005. Neural network-based software sensor: training set design and application to a continuous pulp digester. Control Engineering Practice 13: 135–143.
  • Eddy, S. and Johnston, S. R., 2009. Comparison of Palintest Soil Analysis to External Laboratory Analysis. Palintest Ltd
  • Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten I. H. 2009. The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1.
  • Hastie, T., Tibshirani, R., 2011. Element of statistical Learning: Data Mining, Inference and Prediction 2nd edition, page 38
  • Kim,H.J., Hummel, J.W., Sudduth, K.A., Motavalli, P.P., 2007. simultaneous analysis of soil macronutrients using ıon-selective electrodes. Soil Science Society of America Journal 71: 1867–1877.
  • Lin, B., Recke, B., Knudsen J. K. H., Jørgense S. B., 2007. A systematic approach for soft sensor development. Computers and Chemical Engineering 31: 419–425
  • Lobsey, C., Rossel, R. V., McBratney, A., 2010. An automated system for rapid in-field soil nutrient testing. 19th World Congress of Soil Science, Soil Solutions for a Changing World, 1 – 6 August 2010, Brisbane, Australia.
  • Sethuramasamyraja, B., Adamchuk, V.I., Dobermann, A., Marx, D.B., Jones, D.D., Meyer, G.E., 2008. Agitated soil measurement method for integrated on-the-go mapping of soil pH, potassium and nitrate contents. Computers and Electronics in Agriculture 60: 212–225
  • Wang, J., Scott, A.D., 2001. Determination of exchangeable potassium in soil using ion-selective electrodes in soil suspensions. European Journal of Soil Science 52: 143-150.
  • Yue, X.L., Li, F., Hu, Y.C., Zhang, H.Z., Ji, H.J., Zhang, W.L., Schmidhalter, U., 2012. Evaluating The Validity Of A Nitrate Quick Test İn Different Chinese Soils. Pedosphere 22(5): 623–630
Yıl 2014, Cilt: 3 Sayı: 2, 123 - 130, 21.11.2014
https://doi.org/10.18393/ejss.24169

Öz

Kaynakça

  • Adamchuk, V.I., Lund, E.D., Sethuramasamyraja, B., Morgan, M.T., Dobermann, A., Marx, D.B., 2005. Direct measurement of soil chemical properties on-the-go using ion-selective electrodes. Computers and Electronics in Agriculture. 48,272–294
  • Adamchuk, V.I., Hummel, J.W., Morgan, M.T., Upadhyaya, S.K., 2004. On-the-go soil sensors for precision agriculture. Computers and Electronics in Agriculture. 44, 71–91
  • Birrell, S.J., Hummel, J.W., 2001. Real-time multi ISFET/FIA soil analysis system with automatic sample extraction. Computers and Electronics in Agriculture 32, 45–67
  • Bishop, C.M., 1995. Neural Network for Pattern Recognition, Oxford University Press, 116p..
  • Bortolon, L., Gıanello, C., Welter, S., Almeıda, R.G.O., Gıasson, E., 2011. Simultaneous extraction of phosphorus, potassium, calcium and magnesium from soils and potassium recommendations for crops in southern brazil. Pedosphere 21(3), 365–372
  • Cieśla, J., Ryżak, M., Bieganowski, A., Tkaczyk, P., Walczak, R.T., 2007. Use of ion-selective electrodes for determination of content of potassium in egner-rhiem soil extracts. Research in Agricultural Engineering 53(1): 29–33
  • Dufour, P., Bhartiya, S., Dhurjati P. S., Francis J. Doyle III. 2005. Neural network-based software sensor: training set design and application to a continuous pulp digester. Control Engineering Practice 13: 135–143.
  • Eddy, S. and Johnston, S. R., 2009. Comparison of Palintest Soil Analysis to External Laboratory Analysis. Palintest Ltd
  • Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten I. H. 2009. The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1.
  • Hastie, T., Tibshirani, R., 2011. Element of statistical Learning: Data Mining, Inference and Prediction 2nd edition, page 38
  • Kim,H.J., Hummel, J.W., Sudduth, K.A., Motavalli, P.P., 2007. simultaneous analysis of soil macronutrients using ıon-selective electrodes. Soil Science Society of America Journal 71: 1867–1877.
  • Lin, B., Recke, B., Knudsen J. K. H., Jørgense S. B., 2007. A systematic approach for soft sensor development. Computers and Chemical Engineering 31: 419–425
  • Lobsey, C., Rossel, R. V., McBratney, A., 2010. An automated system for rapid in-field soil nutrient testing. 19th World Congress of Soil Science, Soil Solutions for a Changing World, 1 – 6 August 2010, Brisbane, Australia.
  • Sethuramasamyraja, B., Adamchuk, V.I., Dobermann, A., Marx, D.B., Jones, D.D., Meyer, G.E., 2008. Agitated soil measurement method for integrated on-the-go mapping of soil pH, potassium and nitrate contents. Computers and Electronics in Agriculture 60: 212–225
  • Wang, J., Scott, A.D., 2001. Determination of exchangeable potassium in soil using ion-selective electrodes in soil suspensions. European Journal of Soil Science 52: 143-150.
  • Yue, X.L., Li, F., Hu, Y.C., Zhang, H.Z., Ji, H.J., Zhang, W.L., Schmidhalter, U., 2012. Evaluating The Validity Of A Nitrate Quick Test İn Different Chinese Soils. Pedosphere 22(5): 623–630
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Emel Eren Bu kişi benim

Yalcın Öksüz Bu kişi benim

Sevinç Karadağ Bu kişi benim

Selin Özen Bu kişi benim

Zafer Gemici Bu kişi benim

Rıdvan Kızılkaya

Yayımlanma Tarihi 21 Kasım 2014
Yayımlandığı Sayı Yıl 2014 Cilt: 3 Sayı: 2

Kaynak Göster

APA Eren, E., Öksüz, Y., Karadağ, S., Özen, S., vd. (2014). Investigation of a novel soil analysis method in agricultural areas of Çarşamba plain for fertilizer recommendation. Eurasian Journal of Soil Science, 3(2), 123-130. https://doi.org/10.18393/ejss.24169