Responsible decision-support system for corn nitrogen management using remote sensing and geographic information system technologies

4th International Symposium on Intelligent Information Technology in Agriculture, ISIITA 2007

Volumn , Issue , 2007, Pages

  Tremblay, ^a   Bouroubi, N Y ^a   Vigneault, P ^a   Belec C ^a   Wang, Z ^a  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

Author keywords

Corn; Geographic Information System; Nitrogen Fertilizer Reduction; Remote Sensing; Soil Spatial Characteristics

Indexed keywords

AGRICULTURE; ARTIFICIAL INTELLIGENCE; CROPS; DECISION MAKING; DECISION SUPPORT SYSTEMS; FERTILIZERS; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; NITROGEN; NITROGEN FERTILIZERS; REMOTE SENSING; SOILS; VEGETATION;

APPARENT SOIL ELECTRICAL CONDUCTIVITIES; COMPACT AIRBORNE SPECTROGRAPHIC IMAGER; CORN; ENVIRONMENTAL RISKS; NITROGEN MANAGEMENT; NORMALIZED DIFFERENCE VEGETATION INDEX; SPATIAL CHARACTERISTICS; VARIABLE FACTORS;

INFORMATION MANAGEMENT;

EID: 84938631337     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (68)

1. Babcock, B. A., and G. R. Pautsch, 1998. Moving from uniform to variable fertilizer rates on Iowa corn: effects on rates and returns. Journal of agricultural and resource economics (USA), 23(2): 385-400.
2. Brevik, E.C., T.E. Fenton, and A. Lazari. 2006. Soil electrical conductivity as a function of soil water content and implications for soil mapping. Precision Agriculture, 7:393-404.
3. Boegh E., H. Soegaard, N. Broge, C.B. Hasager, N.O. Jensen, K. Schelde, and A. Thomsen. 2002. Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sensing of Environment, 81, 179-193.
4. Bronson, K.F., J.D. Booker, S.J. Officer, R.J. Lascano, S.J. Maas, S.W. Searcy, and J.D. Booker. 2005. Apparent electrical conductivity, soil properties and spatial covariance in the U.S. Southern High Plains. Precision Agriculture, 6:297-311.
5. Clay, D.E., K.-I. Kim, J. Chang, S.A. Clay, and K. Dalsted. 2006. Characterizing water and nitrogen stress in corn using remote sensing. Agronomy Journal, 98:579-587.
6. Debaeke P., P. Rouet, and E. Justes. 2006. Relationship between the normalized SPAD index and the nitrogen nutrition index: Application to durum wheat. Journal of Plant Nutrition, 29: 75-92.
7. Derby, N.E., D.D. Steele, J. Terpstra, R.E. Knighton, and F.X.M. Casey. 2005. Interactions of nitrogen, weather, soil, and irrigation on corn yield. Agronomy Journal, 97:1342-1351.
8. Derby, N.E., F.X.M. Casey, and D.W. Franzen. 2007. Comparison of nitrogen management zone delineation methods for corn grain yield. Agronomy Journal, 99:405-414.
9. Flowers M., R. Weisz, and R. Heiniger. 2003. Quantitative approaches for using color infrared photography for assessing in-season nitrogen status in winter wheat. Agronomy Journal, 95:1189-1200.
10. Flowers M., R. Weisz, R. Heiniger, D. Osmond, and C. Crozier. 2004. In-season optimization and site-specific nitrogen management for soft red winter wheat. Agronomy Journal, 96:124-134.
11. Freemantle, J.R. 2004. Atmospheric correction system users guide. York University, Toronto, CRESTech.
12. Haboudane, D., J.R. Miller, E. Pattey, P.J. Zarco-Tejada, and I.B. Strachan. 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90:337-352.
13. Heiniger, R.W., R.G. McBride, and D.E. Clay. 2003. Using soil electrical conductivity to improve nutrient management. Agronomy Journal, 95:508-519.
14. Hergert, G. W., and R. B. Ferguson. 1997. The impact of variable rate N application on N use efficiency of furrow irrigated maize. In "Precision agriculture '97 papers presented at the first European Conference on Precision Agriculture, Warwick University Conference Centre, UK, 7-10 September 1997 / European Conference on Precision Agriculture. Oxford; Herndon, VA : BIOS Scientific Pub., c1997." (E. b. J. V. Stafford., ed.), pp. 297-305. Oxford ; Herndon, VA : BIOS Scientific Pub., 1997.
15. Hong, N., J.G. White, R. Weisz, C.R. Crozier, M.L. Gumpertz, and D.K. Cassel. 2006. Remote sensing-informed variable-rate nitrogen management of wheat and corn: agronomic and groundwater outcomes. Agronomy Journal, 98:327-338.
16. Isik, M. and M. Khanna. 2002. Variable-rate nitrogen application under uncertainty: Implications for profitability and nitrogen use. Journal of Agricultural and Resource Economics, 27: 61-76.
17. James, I.T., and R.J. Godwin. 2003. Soil, water and Yield relationships in developing strategies for the precision application of nitrogen fertiliser to winter barlay. Biosystems Engineering, 84:467-480.
18. Kaspar, T.C., T.S. Colvin, D.B. Jaynes, D.L. Karlen, D.E. James, D.W. Meek, D. Pulido, and H. Butler. 2003. Relationship between six years of corn yields and terrain attributes. Precision Agriculture, 4:87-101.
19. Kay B. D., A. A. Mahboubi, E. G. Beauchamp and R. S. Dharmakeerthi. 2006. Integrating soil and weather data to describe variability in plant available nitrogen. Soil Science Society of America Journal, 70:1210-1221.
20. King, J.A., P.M.R. Dampney, R.M.W. Lark, H. C. , R.I. Bradley, and T.R. Mayr. 2005. Mapping potential crop management zones within fields: use of yield-map series and patterns of soil physical properties identified by electromagnetic induction sensing. Precision Agriculture, 6:167-181.
21. Kitchen NR, Hughes DF, Sudduth KA, Birrell SJ (1995) Comparison of variable rate to single rate nitrogen fertilization application, corn production and residual soil NO3-N. In: Robert PC, Rust RH, Larson WE (eds) Site-specific management for agricultural systems, Proceedings of the 2nd international conference. ASA/CSSA/SSSA, Madison, WI, USA, pp 427-442..
22. Kravchenko, A., and D. Bullock. 1999. A comparative study of interpolation methods for mapping soil properties. Agronomy Journal, 91:393-400.
23. Kravchenko, A.N., K.D. Thelen, D.G. Bullock, and N.R. Miller. 2003. Relationship among crop grain yield, topography, and soil electrical conductivity studied with cross-correlograms. Agronomy Journal, 95:1132-1139.
24. Kravchenko, A.N., G.P. Robertson, K.D. Thelen, and R.R. Harwood. 2005. Management, topographical, and weather effects on spatial variability of crop grain yields. Agronomy Journal, 97:514-523.
25. Lamontagne, L., A. Martin, L. Grenon, and J.-M. Cossette. 2001. tude pdologique du comt de Saint-Jean (Qubec). Laboratoire de pdologie et d'agriculture de prcision, Centre de rercherche et de dveloppement sur les sols et les grandes cultures, Sainte-Foy.
26. Liu, X., J. Peterson, and Z. Zhang. 2005. High-resolution DEM generated from LiDAR data for water resource management, in Proceeding of International Congress on Modelling and Simulation MODSIM05, pp. 1402-1408, Melbourne, Australia.
27. Liu, X.J., X.T. Ju, F.S. Zhang, and X.P. Chen. 2003. Nitrogen recommendation for winter wheat using N-min test and rapid plant tests in North China Plain. Communications in Soil Science and Plant Analysis, 34:2539-2551.
28. Mamo M., G. L. Malzer, D. J. Mulla, D. R. Huggins, and J. Strock. 2003. Spatial and Temporal Variation in Economically Optimum Nitrogen Rate for Corn. Agronomy Journal, 95:958-964.
29. Marques Da Silva, J.R., and C. Alexandre. 2005. Spatial variability of irrigated corn yield in relation to field topography and soil chemical characteristics. Precision Agriculture, 6:453-466.
30. Metternicht, G. 2003. Vegetation indices derived from high-resolution airborne videography for precision crop management. International Journal of Remote Sensing, 24:2855-2877.
31. Minotti, P.L., D.E. Halseth, and J.B. Sieczka. 1994. Field chlorophyll measurements to assess the nitrogen status of potato varieties. Hortscience, 29:1497-1500.
32. Moore, G. A., and J. P. Tyndale Biscoe, 1999. Estimation of the importance of spatially variable nitrogen application and soil moisture holding capacity to wheat production. Precision agriculture, 1, 27-38.
33. Noh H., Q. Zhang, B. Shink S. Han, and L. Feng. 2006. A neural network model of maize crop nitrogen stress assessment for a multi-spectral imaging sensor. Biosystems Engineering, 94 (4), 477-485.
34. Olfs, H.W., K. Blankenau, F. Brentrup, J. Jasper, A. Link, and J. Lammel. 2005. Soil-and plant-based nitrogen-fertilizer recommendations in arable farming. Journal of Plant Nutrition and Soil Science-Zeitschrift Fur Pflanzenernahrung Und Bodenkunde, 168:414-431.
35. Papoulis A. (1984). Probability, random variables and stochastic processes, McGraw-Hill (ASIN: B000OFQC44).
36. Pautsch G. R., B. A. Babcock, and F. J. Breidt. 1999. Optimal information acquisition under a geostatistical model. Journal ofAgricultural and Resource Economics, 24(2):342-366.
37. Paz, J.O., Batchelor, W.D., Babcock, B.A., Colvin, T.S., Logsdon, S.D., Kaspar, T.C., and Karlen, D.L. 1999. Model-based technique to determine variable-rate nitrogen for corn. Agricultural Systems, 61: 69-75.
38. Pennock, D.J., B.J. Zebarth, and E. De Jong. 1987. Landform classification and soil distribution in hummocky terrain, Saskatchewan, Canada. Geoderma, 40:297-315.
39. Persson, A., P. Pilesjo, and L. Eklundh. 2005. Spatial influence of topographical factors on yield of potato (Solanum tuberosum L.) in central Sweden. Precision Agriculture, 6:341-357.
40. Piekielek, W.P., Fox, R.H., Toth, J.D., and K.E. Macneal. 1995. Use of a chlorophyll meter at the early dent stage of corn to evaluate nitrogen sufficiency. Agronomy Journal, 87, 403-408.
41. Raun, W.R., J.B. Solie, G.V. Johnson, M.L. Stone, E.V. Lukina, W.E. Thomason, and J.S. Schepers. 2001. In-season prediction of potential grain yield in winter wheat using canopy reflectance. Agronomy Journal, 93:131-138.
42. Reuter, H.I., A. Giebel, and O. Wendroth. 2005. Can landform stratification improve our understanding of crop yield variability? Precision Agriculture, 6:521-537.
43. Ritchie, S.W., J.J. Hanway, and G.O. Benson. 1993. How a corn plant develops. Sp. Rpt. No. 48. Iowa state university of science and technology. Cooperative extension service. Ames, IA.
44. Robinson, T.P., and G. Metternicht. 2006. Testing the performance of spatial interpolation techniques for mapping soil properties. Computers and Electronics in Agriculture, 50:97-108.
45. Rouse, J.W., R.W. Haas, J.A. Schell, D.W. Deering, and J.C. Harlan. 1974. Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation. NASA/GSFCT, Greenbelt.
46. Sawyer, J. E. 1994. Concepts of variable rate technology with considerations for fertilizer application. Journal of Production Agriculture, 7: 195-201.
47. Scharf, P. C., Schmidt, J. P., Kitchen, N. R., Sudduth, K. A., Hong, S. Y., Lory, J. A., and J. G. Davis. 2002. Remote sensing for nitrogen management. Journal of Soil and Water Conservation, 57, 518-524.
48. Schepers, J.S. 1994. New diagnostic tools for tissue testing. Communication in Soil Science and Plant Analysis, 25:817-826.
49. Schepers, J.S., T.M. Blackmer, and D.D. Francis. 1992. Predicting N fertilizer needs for corn in humid regions: using chlorophyll meters, p. 105-114, In B. R. Bock and K. R. Kelley, eds. Predicting N fertilizer needs for corn in humid regions. Bulletin Y-226. National Fertilizer and Environmental Research Center, Muscle Shoals, AL.
50. Schmidt, J.P., N. Hong, A. Dellinger, D.B. Beegle, and H. Lin. 2007. Hillslope variability in corn response to nitrogen linked to in-season soil moisture redistribution. Agronomy Journal, 99:229-237.
51. Schroder, J.J., J.J. Neeteson, O. Oenema, and P.C. Struik. 2000. Does the crop or the soil indicate how to save nitrogen in maize production?: Reviewing the state of the art. Field Crops Research, 66:151-164.
52. Smit, A. B., Stoorvogel, J. J., and G. A. A. Wossink. 2000. A methodology to support the decision to invest in spatially variable nitrogen fertilisation. Netherlands Journal of Agricultural Science, 48: 273-290.
53. Snyder, C., Schroeder, T., Havlin, J., and G. Kluitenberg. 1996. An economic analysis of variable rate nitrogen management. In "3rd International Conference on Precision Agriculture" (ASA-CSSA-SSSA, ed.), pp. 989-998, Minneapolis, MN.
54. Swinton, S. M., and J. Lowenberg-DeBoer. 1998. Evaluating the profitability of site-specific farming. Journal of Production Agriculture, 11: 439-446.
55. Tarboton, D.G. 1997. New method for the determination of flow directions and contributing areas in grid digital elevation models. Water Resources Research, 33:309-319.
56. Teal, R.K., B. Tubana, K. Girma, K.W. Freeman, D.B. Arnall, O. Walsh, and W.R. Raun. 2006. In-season prediction of corn grain yield potential using normalized difference vegetation index. Agronomy Journal, 98:1488-1494.
57. Teng W. L. ; Doraiswamy Y P. C.; Wang J. R. Temporal variations of the microwave polarization difference index and its relationships to the normalized difference vegetation index in a densely cropped area. Photogrammetric engineering and remote sensing, 1995, 61(8), 1033-1040
58. Thompson, J, M., J. J., Varco, and M. R. Seal. 1999. Formulating decision support factors for variable rate nitrogen fertilization. Proc Beltwide Cotton Conf 2: 1283-1285.
59. Tremblay, N. 2004. Determining nitrogen requirements from crops characteristics. Benefits and challenges. Recent Res. Devel. Agrononomy & Horticulture, 1:157-182.
60. Tremblay, N., E. Fallon, C. Blec, G. Tremblay and . Thibault. 2007. Growing Season and Soil Factors Related to Predicting Corn Nitrogen Fertilization in Quebec. Proceedings of the Symposium Integrating Weather Variability into Nitrogen Recommendations. American Society of Agronomy (ASA), Crop Science Society of America (CSSA), and Soil Science Society of America (SSSA) 2006 International Annual Meetings, Nov. 12-16, 2006, Indianapolis, Indiana.
61. Van Alphen, B. J., and J. J. Stoorvogel. 2000. A methodology for precision nitrogen fertilization in high-input farming systems. Precision Agriculture, 2: 319-332.
62. Vina, A., A.A. Gitelson, B.C. Rundquist, G. Keydan, B. Leavitt, and J. Schepers. 2004. Monitoring Maize (Zea mays L.) Phenology with Remote Sensing. Agronomie, 96:1139-1147.
63. Weber, D., and E. Englund. 1992. Evaluation and comparison of spatial interpolators. Mathematical Geology, 24:381-391.
64. Webster, R., and M.A. Oliver. 1991. Statistical methods in soil and land resource survey. second from the "Quantitative and numerical methods in soil classification and survey" ed. Oxford University Press, New York.
65. Whitley, K. M., and Davenport, J. R. 2003. Nitrate leaching potential under variable and uniform nitrogen fertilizer management in irrigated potato systems. HortTechnology, 13: 605-609.
66. Wood, G.A., J.C. Taylor, and R.J. Godwin. 2003a. Calibration methodology for mapping within-field crop variability using remote rensing. Biosystems Engineering, 84(4): 409-423.
67. Wood, G. A., J. P. Welsh, R. J. Godwin, J. C. Taylor, R. Earl, and S. M. Knight. 2003b. Real-time measures of canopy size as a basis for spatially varying nitrogen applications to winter wheat sown at different seed rates. Biosystems Engineering, 84: 513-531.
68. Zhang, W.L., Z.X. Tian, N. Zhang, and X.Q. Li. 1996. Nitrate pollution of groundwater in Northern China. Agriculture, Ecosystems & Environment, 59:223-231.