Development of decision rules for site-specific N fertilization by the application of data mining techniques

Precision Agriculture

Volumn , Issue , 2024, Pages 711-715

  Weigert, G ^a   Wagner, P ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

Author keywords

data mining; information system; N fertilization

Indexed keywords

EID: 33645373348     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (9)

1. Auernhammer, H. 1999. Precision farming for site-specific fertilization. In: Zeitschrift für Agrarinformatik, Münster-Hiltrup, H3, pp. 58-66.
2. Drummond, S.T., Sudduth, K.A., and Joshi, A., 2000. Predictive ability of neural networks for site-specific yield estimation, Paper presented at 2nd International Geospatial Information in Agriculture and Forestry Conference, Lake Buena Vista, Florida, 2000, http://www.fse.missouri.edu/mpac/pubs/drummond.pdf,viewed 13.01.2003.
3. Durlesser, H, 1999. Bestimmung der variation bodenphysikalischer parameter in raum und zeit mit eletromagnetischen induktionsverfahren (Determination of the spatial and temporal variation of soil physical parameters using a electromagnetic induction method), Shaker Verlag, Aachen, Germany.
4. Kilian, B., Malzer, G. 2001. The value for variable rate nitrogen applications: a comparison of soil test, topographical, and remote sensing information, Selected Paper American Agricultural Economics Association Annual Meeting, Chicago, IL, 2001 http://agecon.lib.umn.edu/cgibin/pdf_view.pl?paperid=2722, viewed: 13.01.2003.
5. Liebler, J., Sticksel, E., and Maidl, F.-X. 2001. Field spectroscopic measurements to characterise nitrogen status and dry matter production of winter wheat. In: Proceeding of the 3rd European Conference on Precision Agriculture, eds. G Grenier and S Blackmore, agro Montpellier, France, pp. 935-938.
6. Linseisen, H. 2001. Development of a precision farming system. In: Proceeding of the 3rd European Conference on Precision Agriculture, eds. G Grenier and S Blackmore, agro Montpellier, France, pp. 689-694
7. Pokrajac D., and Obradovic Z. 2001. Neural network-based software for fertilizer optimization in precision farming. In: Proceedings International Joint Conference on Neural Networks, Vol. 3, pp. 2110-2115
8. Weber, E. 2001. Der landwirt als exaktversuchsansteller dank gps und biometriesoftware-utopie oder chance für das precision farming? (The farmer as an operator of exact trials due to gps and biometric software-utopia or chance for precision farming) In: DLG Arbeitsunterlagen Pflanzenproduktion, DLG Verlag, Germany, pp. 33-37
9. Weiss, S. M., and Indurkhya, N. 1998. Predictive data mining: a practical guide, Morgan Kaufmann Publishers, Inc. San Francisco, California