Prediction of nitrate release from polymer-coated fertilizers using an artificial neural network model

Biosystems Engineering

Volumn 99, Issue 4, 2008, Pages 478-486

  Du, C ^a   Tang, D ^a   Zhou, J ^a   Wang, H ^a   Shaviv, A ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

FERTILIZERS; NEURAL NETWORKS; NUTRIENTS; REGRESSION ANALYSIS;

COATING MEMBRANES; GENERALIZED REGRESSION NEURAL NETWORK (GRNN); GRANULE RADIUS;

NITRATES;

EID: 40249108245     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2007.12.003     Document Type: Article

References (27)

1. Alcazar A.F., Pablos M.J., and Gonzalez A.G. Multivariate characterisation of beers according to their mineral content. Talanta 57 (2002) 45-52
2. Du C., Zhou J., and Shaviv A. Mathematical model for potassium release from polymer-coated fertilizer. Biosystem Engineering 88 (2004) 395-400
3. Du C., Zhou J., Wang H., and Li S. A preliminary study on natural matrix materials for controlled release nitrogen fertilizers. Pedosphere 14 1 (2004) 45-52
4. Du C., Zhou J., and Shaviv A. Lag period of nutrient release from polymer 2 coated NPK Compound fertilizers. Journal of Plant Nutrition and Fertilizer Science, 2 (2005) 179-182
5. Du C., Zhou J., and Shaviv A. Release characteristics of nutrients from polymer-coated compound controlled release fertilizers. J. Polym. Environ. 14 (2006) 223-230
6. Du C., Zhou J., and Shaviv A. Characteristics of potassium release from polymer-coated controlledled release fertilizer and its modelling. Transaction of CSAE 22 (2006) 18-21
7. Gandeza A.T., Shoji S., and Yamada I. Simulation of crop response to polyolefin coated urea. I. Field dissolution. Soil Science Society of America Journal 55 (1991) 1462-1467
8. Ganesh A., and Abdesselam B. A generalized feedforward neural network architecture for classification and regression. Neural Networks 16 (2003) 561-568
9. Goh W.Y., Lim C.P., Peh K.K., and Subari K. Application of a recurrent neural networks to prediction of drug dissolution profiles. Neural Compute and Application 10 (2002) 311-317
10. Cigizoglu H.K., and Alp M. Generalized regression neural network in modelling river sediment yield. Advances in Engineering Software 37 (2006) 63-68
11. Celikoglu H.B. Application of radial basis function and generalized regression neural networks in non-linear utility function specification for travel mode choice modeling. Mathematical and Computer Modelling 44 (2006) 640-658
12. Celikoglu H.B., and Cigizoglu H.K. Public transportation trip flow modelling with generalized regression neural networks. Advances in Engineering Software 38 (2007) 71-79
13. Jarrell W.M., and Boersma L. Release of urea by granules of sulfur coated urea. Soil Science Society America Journal 44 (1980) 418-422
14. Jelena P., Svetlana I., Zorica D., Milica J., and Owen I.C. An investigation into the usefulness of generalizedregression neural network analysis in the development oflevel A in vitro-in vivo correlation. European Journal of Pharmaceutical Sciences 30 (2007) 264-272
15. Linker R., Shmulevich I., Kenny A., and Shaviv A. Soil identification and chemometrics for direct determination of nitrate in soils using FTIR-ATR mid-infrared spectroscopy. Chemosphere 61 (2005) 652-658
16. Ruckebusch C., Sombret B., Froidevaux R.N., and Huvenne J. On-Line mid-Infrared spectroscopic data and chemometrics for the monitoring of an enzymatic hydrolysis. Applied Spectroscopy 55 (2001) 1610-1617
17. Savita G.K., Amit K.C., Somnath N., Sanjeev S.T., and Bhaskar D.K. Modelling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN). Biochemical Engineering Journal 18 (2004) 193-210
18. Shaviv A. Preparation methods and release mechanism of controlledled release fertilizers: agronomic efficiency and environment significances. Paper presented to the International Fertilizer Society. Proceeding of International Fertiliser Society 431 (1999) 1-35
19. Shaviv A. Advance in controlledled release fertilizer. Advance in Agronomy 71 (2000) 1-49
20. Shaviv A., Smadar R., and Zaidel E. Model of diffusion release from polymer coated granular fertilizers. Environmental Science and Technology 37 (2003) 2251-2256
21. Shaviv A., Smadar R., and Zaidel E. Statistically based model for diffusion release from a population of polymer coated controlledled release fertilizers. Environmental Science and Technology 37 (2003) 2257-2261
22. Specht D.F. A generalized regression neural network. IEEE Transactions on Neural Networks 2 (1991) 568-576
23. Sun Y., Peng Y., Chen Y., and Shukla A.J. Application of artificial networks in the design of controlledled release drug delivery systems. Advanced Drug Delivery Reviews 55 (2003) 1201-1215
24. Svetlana I., Milica J., Zorica D., Jelena P., and Ljiljana S. The application of generalized regression neural network in the modelling and optimization of aspirin extended release tablets with Eudragit RS PO as matrix substance. Journal of Controlled Release 82 (2002) 213-222
25. Takayama K., Morva A., Fujikawa M., Hattori Y., Obata Y., and Nagai T. Formula optimization of theophylline controlled-release tablet based on artificial neural networks. Journal of Controlled Release 68 (2000) 175-186
26. Trenkel M.E. Controlled-release and Stabilized Fertilizers in Agriculture (1997), international Fertilizer Industry Association, Paris pp. 21-80
27. Zhang M., Nyborg M., and Ryan J.T. Determining permeability of coatings of polymer-coated urea. Fertilizer Research 38 (1994) 47-51