Agriculture Reference
In-Depth Information
Iwahori, T., R. Sugiura, K. Ishi, and N. Noguchi. 2004. Remote sensing technology using an
unmanned helicopter with a control pan-head. In
Proceedings of ASABE Conference of
Automation Technology for Off-Road Equipment
. Q. Zhang, M. Iida, and A. Mizushima,
eds: Kyoto, Japan.
Jensen, J. R. 2007.
Remote sensing of the environment: an earth resource perspective
. 2nd ed.
Prentice Hall, Upper Saddle River, NJ.
Johnson, A. K. L., and A. E. Kinsey-Henderson. 1997. Satellite-based remote sensing for
monitoring Baath land use in the sugar industry.
Proceedings of the Australian Society
of Sugar Cane Technologists
19:237-245.
Johnson, L., R. Nemani, F. Melton et al. 2010. Information technology supports integration
of satellite imagery with irrigation management in California's central valley. In
5th
National Decennial Irrigation Conference
, Phoenix, AZ.
Kim, Y., J. F. Reid, and Q. Zhang. 2008. Fuzzy logic control of a multispectral imaging sensor
for in-field plant sensing.
Computers and Electronics in Agriculture
60:279-288.
Kong, W. W., F. Liu, Q. Zou, H. Fang, and Y. He. 2011. Fast determination of malondialde-
hyde in oilseed rape leaves using near infrared spectroscopy.
Spectroscopy and Spectral
Analysis
31(4):988-991.
Lefsky, M. A., D. Harding, W. B. Cohen, G. Parker, and H. H. Shugart. 1999b. Surface lidar
remote sensing of basal area and biomass in deciduous forests of eastern Maryland,
USA.
Remote Sensing of Environment
67(1):83-98.
Lefsky, M. A., W. B. Cohen, S. A. Acker, G. G. Parker, T. A. Spies, and D. Harding. 1999a.
Lidar remote sensing of the canopy structure and biophysical properties of Douglas-fir
western hemlock forests.
Remote Sensing of Environment
70(3):339-361.
Li, M. Z. 2003. Evaluation soil parameters with visible spectroscopy.
Transactions of the
CSAE
19(5):36-41.
Lida, M., M. Umeda, and P. A. S. Radite. 2001. Variable rate fertilizer applicator for paddy field.
2001 ASAE Annual International Meeting
, Sacramento, CA, USA. Paper Number: 01-1115.
Lim, K., P. Treitz, M. Wulder, B. St-Onge, and M. Flood. 2003. LiDAR remote sensing of for-
est structure.
Progress in Physical Geography
27(1):88-106.
Liu, F., F. Zhang, Z. L. Jin et al. 2008. Determination of acetolactate synthase activity and
protein content of oilseed rape (
Brassica napus
L.) leaves using visible/near infrared
spectroscopy.
Analytica Chimica Acta
629(1-2):56-65.
Liu, F., W. W. Kong, T. Tian, Y. He, and W. J. Zhou. 2012. Estimation of acetolactate syn-
thase activity in
Brassica Napus
under herbicide stress using near-infrared spectrosocpy.
Transactions of the ASABE
55(4):1631-1638.
Liu, F., P. C. Nie, M. Huang, W. W. Kong, and Y. He. 2011a. Nondestructive determination of
nutritional information in oilseed rape leaves using visible/near infrared spectroscopy
and multivariate calibrations.
Science China Information Sciences
54(3):598-608.
Liu, F., W. W. Kong, and Y. He. 2011b. Nondestructive estimation of nitrogen status and veg-
etation index of oilseed rape canopy using multi-spectral imaging technology.
Sensor
Letters
9(3):1126-1132.
Liu, F., Z. L. Jin, M. S. Naeem et al. 2011c. Applying near-infrared spectroscopy and chemo-
metrics to determine total amino acids in herbicide-stressed oilseed rape leaves.
Food
and Bioprocess Technology
4(7):1314-1321.
Lovell, J. L., D. L. B. Jupp, D. S. Culvenor, and N. C. Coops. 2003. Using airborne and
ground-based ranging lidar to measure canopy structure in Australian forests.
Canadian
Journal of Remote Sensing
29(5):607-622.
Lu, D. 2005. Aboveground biomass estimation using Landsat TM data in the Brazilian
Amazon.
International Journal of Remote Sensing
26(12):2509-2525.
Lu, D. S. 2006. The potential and challenge of remote sensing-based biomass estimation.
International Journal of Remote Sensing
27(7):1297-1328.