Agriculture Reference
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Kim, H. J., J. W. Hummel, K. A. Sudduth, and S. J. Birrell. 2007a. Evaluation of phosphate ion-
selective membranes and cobalt-based electrodes for soil nutrient sensing. Transactions
of the ASABE 50(2): 215-225.
Kim, H. J., J. W. Hummel, K. A. Sudduth, and P. P. Motavalli. 2007b. Simultaneous analysis
of soil macronutrients using ion-selective electrodes. Soil Science Society of America
Journal 71(6): 1867-1877.
King, D. J. 1995. Airborne multispectral digital camera and video sensors: a critical review of
systems designs and applications. Canadian Journal of Remote Sensing 21: 245-273.
Kitchen, N. R., D. F. Hughes, K. A. Sudduth, and S. J. Birrell. 1995. Comparison of variable
rate to single rate nitrogen fertilizer application: corn production and residual soil NO3-N.
In Proc. 2nd International Conference on Precision Agriculture , 427-441, Madison,
Wisconsin: ASA/CSSA/SSSA.
Lee, W. S., J. F. Sanchez, R. S. Mylavarapu, and J. S. Choe. 2003. Estimating chemical
properties of Florida soils using spectral reflectance. Transactions of the ASAE 46(5):
1443-1453.
Lee, W. S., V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, and C. Li. 2010. Sensing technolo-
gies for precision specialty crop production. Computers and Electronics in Agriculture
74(1): 2-33.
Lillesand, T. M., R. W. Kiefer, and J. W. Chipman. 2007. Remote Sensing and Image
Interpretation . 6th ed. Hoboken, NJ: John Wiley & Sons.
Linker, R., A. Kenny, A. Shaviv, L. Singher, and I. Shmulevich. 2004. Fourier transform infrared-
attenuated total reflection nitrate determination of soil pastes using principal compo-
nent regression, partial least squares, and cross-correlation. Applied Spectroscopy 58(5):
516-520.
Liu, Z. Y., H. F. Wu, and J. F. Huang. 2010. Application of neural networks to discriminate fun-
gal infection levels in rice panicles using hyperspectral reflectance and principal compo-
nents analysis. Computers and Electronics in Agriculture 72: 99-106.
Louis, J., S. Meyer, F. Maunoury-Danger, C. Fresneau, E. Meudec, E., and Z. G. Cerovic. 2009.
Seasonal changes in optically assessed epidermal phenolic compounds and chlorophyll
contents in leaves of sessile oak ( Quercus petraea ): towards signatures of phenological
stage. Functional Plant Biology 36(8): 732-741.
Lowenberg-Deboer, J. 1998. Economics of variable rate planting for corn. Staff Paper #98-2.
Available at ageconsearch.umn.edu/bitstream/28685/1/sp98-02.pdf. Accessed October 10,
2011.
Maleki, M. R., A. M. Mouazen, H. Ramon, and J. De Baerdemaeker. 2007. Optimisation of
soil VIS-NIR sensor-based variable rate application system of soil phosphorus. Soil &
Tillage Research 94: 239-250.
Maleki, M. R., A, M. Mouazen, B. De Ketelaere, H. Ramon, and J. De Baerdemaeker. 2008.
On-the-go variable-rate phosphorus fertilisation based on a visible and near-infrared soil
sensor. Biosystems Engineering 99: 35-46.
Mao, C. 1999. Hyperspectral imaging systems with digital CCD cameras for both airborne
and laboratory application. p. 31-40. In P.T. Tueller (ed.) Proc. 17th Biennial Workshop
on Color Photography and Videography in Resource Assessment , Reno, NV, 5-7 May
1999. American Society of Photogrammetry and Remote Sensing, Bethesda, Maryland.
Mausel, P. W., J. H. Everitt, D. E. Escobar, and D. J. King. 1992. Airborne videography: cur-
rent status and future perspectives. Photogrammetric Engineering & Remote Sensing
58: 1189-1195.
McBratney, A., B. Whelan, and T. Ancev. 2005. Future direction of precision agriculture.
Precision Agriculture 6: 7-23.
Meisner, D. E., and O. M. Lindstrom. 1985. Design and operation of a color-infrared aerial
video system. Photogrammetric Engineering & Remote Sensing 51: 555-560.
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