GPS and GIS Based N-mapping of Agricultural Fields’ Spatial Variability As a Tool for Non-polluting Fertilization by Drip Irrigation

GPS and GIS Based N-mapping of Agricultural Fields’ Spatial Variability As a Tool for Non-polluting Fertilization by Drip Irrigation

P. Dioudis A.G. Filintas E. Koutseris

Department of Agricultural Engineering & Irrigation, Technological Educational Institute of Larissa, Greece

Department of Planning and Regional Development, University of Thessaly, Greece

Page: 
210-225
|
DOI: 
https://doi.org/10.2495/SDP-V5-N1-210-225
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
30 September 2009
| Citation

OPEN ACCESS

Abstract: 

A study on nitrates’ spatial variability using GPS and GIS processing and mapping, and the effects of drip irrigation interval and applied nitrogen fertilizer, in the movement, concentration and depletion of total N, NO3-N and NH4-N in the soil and concretely in the active rhizosphere of maize cultivation showed serious infield variability in an experimental field at the Technological Educational Institute of Larissa, Thessaly Valley, Central Greece, in the farming period of the year 2001. Experimental variables were three irrigation frequencies and four nitrogen applications. For crop, corn was selected because it has high nitrogen requirement, which increases the potential for nitrate leaching. Three treatments (i.e. irrigation per 2, 5 and 9 days) were applied in a four replication, randomized complete block design with systematic plot arrangement. The randomization has been done with the method of statistical tables. The N source was an NPK fertilizer at the beginning of cultivation period (first dosage) at a rate of 89.6 kg N/ha (or 31.48% of the applied total nitrogen) as basic fertilization and urea (46% N) applied three times (second, third and fourth dosage) with a hydro-fertilization system (fertigation) in irrigation water, at a rate of 65 kg N/ha (or 22.84% of the applied total nitrogen) through the drip irrigation system at the root zone. Spatial evaluation, analysis and classification at field (treatments) level derived nitrogen management zones. Results showed that nitrogenous fertilizers and irrigation water require careful management in order to minimize the dangers of NO3-N leaching under the root zone in irrigated cultivations of maize. The present study correlates irrigation frequency and soil nitrogen depletion with nitrate concentration GIS maps showing nitrates’ spatial variability and also attempts to formulate a more precise and environmental friendly management scheme with variable rate technology farm machinery and precision agriculture.

Keywords: 

drip irrigation, geostatistical analysis, GIS, GPS, irrigation frequency, maize, nitrogen mapping, soil sampling, spatial variability, variable rate technology

  References

[1] European Commission, Implementation of Council Directive 91/676/EEC Concerning the Protection of Waters Against Pollution Caused by Nitrates from Agricultural Sources, Office for Official Publications of the European Communities: Luxembourg, pp. 1–44, 2002.

[2] Dioudis, P., Filintas, Ag. & Pateras, D., Drip irrigation frequency effects on movement and concentration of nitrates on corn crop. Proc. of Scientific Congress on the Management of Aquatic Resources and the Sustainable Development of Thessaly, the 3rd Conference of Thessaly Development, Company of Thessalian Studies, ETHEM, Larissa, Vol. B, pp. 159–171, 2003.

[3] Filintas, T.Ag., Land Use Systems with Emphasis on Agricultural Machinery, Irrigation and Nitrates Pollution, with the Use of Satellite Remote Sensing, Geographic Information Systems and Models, in Watershed Level in Central Greece, MSc Thesis, Department of Environmental Studies, University of Aegean, Mitilini, Greece, 2005.

[4] Powell, T., Soil texture effect on nitrate leaching in soil percolates. Soil and Plant Analysis Anal., 25(13&14), pp. 2561–2570, 1994.

[5] Ferguson, R.B., Shapiro, C.A., Hergert, G.W., Kranz, W.L., Klocke, N.L. & Krull, D.H., Nitrogen and irrigation management practices to minimize nitrate leaching from irrigated corn. Journal of Production Agriculture, 4(2), pp. 186–192, 1991.

[6] Filintas, T.Ag., Cultivation of Maize in Greece: Increase and Growth, Management, Output Yield and Environmental Sequences, Department of Environmental Studies, University of Aegean, Mitilini, Greece, 2003.

[7] Greek National Statistical Organization, Monthly Statistical Bulletin, Vol. 47, No. 8, Athens, 2002.

[8] Doorenbos, J. & Kassam, A.H., Yield response to water. FAO Irrigation and Drainage Paper No. 33 FAO, Rome, 1986.

[9] Musick, J.T. & Dusek, D.A., Irrigated corn yield response to water. Trans. ASAE, 23, pp. 92–98, 103, 1980.

[10] Zarogiannis, V., Beregnung und Standraum bei Mais (Zea mays L.). Fur Bodenkultur, in Wien, 30(3), pp. 281–303, 1979.

[11] Filintas, Ag., Dioudis, P., Koutseris, E. & Papadopoulos, A., Irrigation water management effects in corn yield and environmental aspects. Proc. of First International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE/SECOTOX), Skiathos Island, Greece, Vol. II, pp. 1061–1066, 2007.

[12] Filintas, Ag., Dioudis, P., Koutseris, E. & Papadopoulos, A., Soils nitrates GIS mapping, irrigation water and applied N-fertilizer effects in soils nitrogen depletion in a drip irrigated experimental field in Thessaly basin. Proc. of 3rd IASME/WSEAS International Conference on Energy, Environment, Ecosystems and Sustainable Development (EEESD’07), Agios Nikolaos, Crete Island, Greece, pp. 487–492, 2007.

[13] Dioudis, I.P., Filintas, T.Ag. & Papadopoulos, H.A., Corn yield in response to irrigation interval and the resultant savings in water and other overheads. Irrigation and Drainage Journal, DOI: 10.1002/ird.395 (in production), 2008.

[14] Filintas, T.Ag., Dioudis, I.P., Pateras, T.D., Hatzopoulos, N.J. & Toulios, G.L., Drip irrigation effects in movement, concentration and allocation of nitrates and mapping of nitrates with GIS in an experimental agricultural field. Proc. of 3rd HAICTA International Conference on Information Systems in Sustainable Agriculture, Agroenvironment and Food Technology (HAICTA’06), Volos, Greece, pp. 253–262, 2006.

[15] Rench, E.W. & Shaw, R.H., Black layer development in corn. Agron. Journal, 63, pp. 303–305, 1971.

[16] Danalatos, G.N., Quantified Analysis of Selected Land Use Systems in the Larissa Region, Greece, PhD Thesis, Agricultural University, Wageningen, pp. 133, 175–207, 1992.

[17] Hatzopoulos, N.J., Topographic Mapping, Covering the Wider Field of Geospatial Information Science & Technology (GIS&T), ISBN-10: 1581129866, ISBN-13: 9781581129861, Universal Publishers, 2008.

[18] Isaaks, E.H. & Srivastava, R.M., Applied Geostatistics, Oxford University Press: New York, 1989.

[19] Goovaerts, P., Geostatistics for Natural Resources Evaluation, Oxford University Press: New York, 1997.

[20] Mass, S.J., Remote sensing for agriculture in the next decade. Proc. Beltwide Cotton Conference, eds P. Dugger & A.D. Richter, National Cotton Council of America: San Diego, CA; Memphis, TN, pp. 36–38, 1998.

[21] Whelan, B.M., McBratney, A.B. & Boydell, B.C., The impact of precision agriculture. Proc. of the ABARE Outlook Conference, ‘The Future of Cropping in NW NSW’, Moree, UK, 1997.

[22] Enviromental Sensors Inc. (ESI), MP-917 Soil Moisture Instrument Operational Manual, ESI: Canada, 1997.

[23] ESRI, Standard classification schemes. ArcGIS Desktop Manual, ESRI: USA, 2007.