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REFERENCES
Adamchuk, V. I., Morgan, M. D, and Ess, D. R. 1999. An automated sampling system for
measuring soil pH. Transactions of the ASAE 42(4): 885-891.
Adamchuk, V. I., M. T. Morgan, and H. Sumali. 2001. Application of a strain gauge array
to estimate soil mechanical impedance on-the-go. Transactions of the ASAE 44(6):
1377-1383.
Adamchuk, V. I., and P. T. Christenson. 2007. Development of an instrumented blade system
for mapping soil mechanical resistance represented as a second-order polynomial. Soil
Tillage and Research 95(1): 76-83.
Adamchuk, V. I., E. D. Lund, T. M. Reed, and R. B. Ferguson. 2007. Evaluation of an on-the-
go technology for soil pH mapping. Precision Agriculture 8(3): 139-149.
Adsett, J. F., and G. C. Zoerb. 1991. Automated field monitoring of soil nitrate-levels. In Proc.
Automated Agriculture for 21st Century , 326-335. St. Joseph, MI: ASABE. 11-91.
Agbu, P. A., D. J. Fehrenbacher, and J. J. Jansen. 1990. Soil property relationships with SPOT
satellite digital in east central Illinois. Soil Science Society of America Journal 54:
807-812.
Alchanatis, V., Y. Cohen, S. Cohen, M. Moller, M. Meron, J. Tsipris, V. Orlov, A. Naor, and Z.
Charit. 2006. Fusion of IR and multispectral images in the visible range for empirical
and model based mapping of crop water status. ASABE Paper No. 061171. St. Joseph,
MI: ASABE.
Al-Gaadi, K. A., and P. D. Ayers. 1999. Integrating GIS and GPS into a spatially variable rate
herbicide application system. Applied Engineering in Agriculture 15(4): 255-262.
Andrade-Sanchez, P., S. K. Upadhyaya, and B. M. Jenkins. 2007. Development, construction,
and field evaluation of a soil compaction profile sensor. Transactions of the ASABE
50(3): 719-725.
Andrade-Sanchez, P., and S. K. Upadhyaya. 2007. Using GIS and on-the-go soil strength sens-
ing technology for variable depth tillage assessment. In Pierce, F. J., and Clay, D. (eds.),
GIS Applications in Agriculture , 163-184. Boca Raton, FL: CRC Press.
Backoulou, G. F., N.C. Elliott, K. Giles, M. Phoofolo, and V. Catana. 2011. Development of
a method using multispectral imagery and spatial pattern metrics to quantify stress to
wheat fields caused by Diuraphis noxia . Computers and Electronics in Agriculture 75:
64-70.
Bajwa, S. G., and L. F. Tian. 2005. Soil fertility characterization in agricultural fields using
hyperspectral remote sensing. Transactions of the ASAE 48(6): 2399-2406.
Barnes, E. M., and M. G. Baker. 2002. Multispectral data for mapping soil texture: possibility
and limitations. Applied Engineering in Agriculture 16(6): 731-741.
Barnes, E. M., K. A. Sudduth, J. W. Hummel, S. M. Lesch, D. L. Corwin, C. Yang, C. S. T.
Daughtry, and W. C. Bausch. 2003. Remote- and ground-based sensor techniques to
map soil properties. Photogrammetric Engineering & Remote Sensing 69(6): 619-630.
Bausch, W. C., A. D. Halvorson, and J. Cipra. 2008. QuickBird satellite and ground-based
multispectral data correlations with agronomic parameters of irrigated maize grown in
small plots. Biosystems Engineering 101: 306-315.
Beal, J. P, and L. F. Tian. 2001. Time shift evaluation to improve yield map quality. Applied
Engineering in Agriculture 17(3): 385-390.
Ben-Dor, E., and A. Banin. 1995. Near-infrared analysis as a rapid method to simultaneously
evaluate several soil properties. Soil Science Society of America Journal 59: 364-372.
Biermacher, J., F. M. Epplin, B. W. Brorsen, J. B. Solie, and W. R. Raun. 2009. Economic
feasibility of site-specific optical sensing for managing nitrogen fertilizer for growing
wheat. Precision Agriculture 10: 213-230.
Birrell, S. J., and J. W. Hummel. 2001. Real-time multi-ISFET/FIA soil analysis system with
automatic sample extraction. Computers and Electronics in Agriculture 32(1): 45-67.
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