1 |
Bahman Eghball and Gary E. Varvel. 1997. Fractal analysis of temporal yield variability of crop sequences implication for site-specific management. Agron. J. 89: 851-855
DOI
ScienceOn
|
2 |
Beckett, P. H. T. and R. Webster. 1971. Soil variability: a review Soils Fert. 34, pp. 1-15
|
3 |
Booltink, H. W. G, G. J. Alphen, W. D. Batchelor, J.O. Paz, J J. Stoorvogel, and R. Vargas. 2001. Tool for optimizing management of spatially variable fields. Agricultural System 70: 445-476
DOI
ScienceOn
|
4 |
Cahn, M. D., J W. Humel, and B. H. Brouer. 1994. Spatial analysis of Soil fertility for site-specific crop management Soil Sci Soc. Am J 58.1240-1248
DOI
ScienceOn
|
5 |
Cui, R. X., M. H. Kim, J. H. Kim, H. S. Nam, and B. W. Lee. 2002. Determination of critical nitrogen dilution curves for nee growth. Korean J. Crop Sci. 47 (2). 127-131
|
6 |
Delin, S. and B. Linden. 2002. Relations between net nitrogen mineralization and soil characteristics wthin an arable field. Acta Agr. Scand. B-S P 52, pp 78-85
|
7 |
Miller, P. M., M. J. Singer, and D R. Nielsen. 1995. Spatial variability of wheat yield and soil properties on complex hills. Soil Sci .Soc. Am J. 52: 1133-1141
DOI
ScienceOn
|
8 |
Peng, S , F V. Garcia, R. C Laza, A. L. Samco, R. M. Visperas, and K. G Cassman. 1996. Increased N-use efficiency using a chlorophyll meter on high-yielding irrigated rice. Fields Crops Res. 47: 243-252
DOI
ScienceOn
|
9 |
Nguyen T. Hung, J. H. Kim, Nguyen Tuan Anh, and B.W. Lee. 2005 Application of hyperspectral canopy reflectance measurement and partial least square regression to prediction of crop growth and nitrogen status before heading stage of rice. Precision Agriculture 05 : 251-260
|
10 |
Cui, R. X. and B. W Lee. 2002 Spiklet number estimation model using nitrogen nutrition status and biomass at panicle intiaiton and headling stage of rice. Korean J. Crop Sci. 47 (5): 390-394
|
11 |
Verhagen, J. 1997. Site specific fertiliser application for potato production and effects on N leachingusing dynamic simulation modeling Agri Ecos and Environ 66(2) . 165-175
DOI
ScienceOn
|
12 |
Seney, G. B., A. O. Ward, J. G Lyon, N R Fausey, and S E. Nokes. 1998. Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming. Trans. ASAE 41 (2) : 489-495
DOI
|
13 |
Dobermann, A, A. F Pampohno, and H. U. Neue. 1995. Spatial and temporal variability of transplanted rice at field scale. Agron. J. 87: 712-720
DOI
ScienceOn
|
14 |
Casanova, D , G. F. Epema, and J. Goudriaan. 1998. Monitoring rice reflectance at field level for estimating biomass and LAI Field Crops Res. 83-92
|
15 |
Hansen, P. M. and J. K. Schjoerring, 2003 Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression, Remote Sens. of Environ. 86: 542-553
DOI
ScienceOn
|
16 |
Kahabka, J E, H. M. Van Es, E. J Mcclenahan, and W. J. Cox. 2004. Spatial analysis of maize response to nitrogen fertilizer in central New York. Precision Agriculture 5: 463-476
DOI
ScienceOn
|
17 |
Yanai, J , C. K. Lee, M. Umeda, and T. Kosaki, 2000. Spatial of soil chemical properties in a paddy field Soil Sci. Plant Nutr. 4 : 473-482
|
18 |
Environmental Systems Research Institute. Acview GIS (ESRI), 1996
|
19 |
McBratney, A. B. and M. J. Pnngle. 1997 Spatial variability in soil implications for precision agriculture. In: Stafford, J V. Ed. Spatial Variability in soil and Crop. Precision Agriculture '97 I BIOS, Oxford, pp 1-31
|
20 |
Dobermann, D. 1994 Factors causing field variation of direct-seeded flooded rice Geoderma 62(1-3).125-150
DOI
ScienceOn
|
21 |
Cox, M. S., P. D. Gerard, M C. Wardlaw, and M. J. Abshire 2003. Variability of selected Soil properties and their relationships With soybean yield. Soil Sci. Soc. Am. J. 67. 1296-1302
DOI
|
22 |
Nguyen Tuan Anh, J. C. Shin, and B. W. Lee. 2004. Analysis of spatial variation of yields and soil chemical properties in a paddy field. Proc. Inter. Crop Sci Congress, pp. 425 Australia
|
23 |
Nguyen T Hung and B. W. Lee. 2004 Selection of most sensitive waveband reflectance for normalized difference vegetation index calculation to predict nee crop growth and yield. Korean J. Crop. Sci. 49(5): 394-406
|
24 |
SAS Institute, 2001. SAS System for Windows Release 8.01. SAS Institute Inc. Cary, N.C
|
25 |
Paz, J. O. 2000. Analysts of Spatial YIeld Variability and Economic Prescription for Precision Agriculture: a Modeling Approach. Ph D. dissertation, Iowa State University, Ames, Iowa
|
26 |
Machado, S., E. D. Bynum, T. L. Archer, R. J. Lascano, L T Wilson, J. Bordovsky, E. Segarra, K. Bronson, D. M Nesmith, and W Xu. 2000 Spatial and temporal variability of com gram yield: srtespecific relationships of biotic and abiotic factor. Precision Agriculture 2: 359-376
DOI
ScienceOn
|
27 |
O'Neal, M. R., J. R. Frankenberger, and D. R. Ess. 2000 Spatial precipitation variability m the choice of nitrogen fertilization rates. Proceedings of fifth International Conference on Precision Agriculture (CD), July 16_/19, 2000. Bloomington, MN, USA
|
28 |
Verhagen, J., H. W. G. Booltmk, and J. Bouma 1995 Site specific management. balancing production and environmental requirements at farm level. Agric. Syst. 49: 369-384
DOI
ScienceOn
|
29 |
Bouma, J. 1997. Precision agriculture. introduction to the spatial and temporal variability of environmental quality. In: Lake, J V, Bock, G.R., Goode, J A (Eds.), Precision Agriculture. Spatial and Temporal Variability of Environmental Quality. Ciba Foundation Symposium, 210. Wiley, Wageningen, The Netherlands, pp 5-17
|
30 |
Casanova, D., J. Goudriaan, J. Bouma, and G. F Epema. 1999. Yield gap analysis in relation to soil properties m direct-seeded flooded rice Geoderma 91(3-4): 191-216
DOI
|
31 |
Jin J. and C. Jiang. 2002 Spatial variability of soil nutrient and site-specific management in the P.R. China Computer and Electronics in Agriculture 36 165-172
DOI
ScienceOn
|
32 |
Naiqian, Z., M Wang, and N. Wang. 2002. Precision agriculture-a worldwide overview
|