J. H. Everitt, D. E. Escobar, K. R. Summary, and M. R. Davis, Using airborne video, global positioning system, and geographical information system technologies for detecting and mapping citrus blackfly infestations, Southwest. Entomol, vol.19, issue.2, pp.129-138, 1994.

H. A. Mccartney and B. D. Fitt, Dispersal of foliar fungal plant pathogens: mechanisms, gradients and spatial patterns, Plant Disease Epidemiology, pp.138-160, 1998.
DOI : 10.1007/978-94-017-3302-1_7

L. P. Pedigo, Closing the gap between IPM theory and practice, J. Agri. Entomol, vol.12, pp.171-181, 1995.

K. S?gawa, The Rice Brown Planthopper: Feeding Physiology and Host Plant Interactions, Annual Review of Entomology, vol.27, issue.1, pp.49-73, 1982.
DOI : 10.1146/annurev.en.27.010182.000405

C. D. Elvidge and Z. K. Chen, Comparison of broad-band and narrow-band red and near-infrared vegetation indices, Remote Sensing of Environment, vol.54, issue.1, pp.38-48, 1995.
DOI : 10.1016/0034-4257(95)00132-K

H. Holden and E. Ledrew, Spectral Discrimination of Healthy and Non-Healthy Corals Based on Cluster Analysis, Principal Components Analysis, and Derivative Spectroscopy, Remote Sensing of Environment, vol.65, issue.2, pp.217-224, 1998.
DOI : 10.1016/S0034-4257(98)00029-7

Y. Karimi, S. O. Prasher, R. M. Patel, and S. H. Kim, Application of support vector machine technology for weed and nitrogen stress detection in corn, Computers and Electronics in Agriculture, vol.51, issue.1-2, pp.99-109, 2006.
DOI : 10.1016/j.compag.2005.12.001

J. J. Shi, Z. Y. Liu, L. L. Zhang, W. Zhou, and J. F. Huang, Hyperspectral recognition of rice damaged by rice leaf roller based on support vector machine, Ric. Sci, vol.23, issue.3, pp.331-334, 2009.

Z. Y. Liu, D. C. Wang, B. Li, and J. F. Huang, DISCRIMINATION OF LODGED RICE BASED ON VISIBLE/NEAR INFRARED SPECTROSCOPY, JOURNAL OF INFRARED AND MILLIMETER WAVES, vol.28, issue.5, pp.321-324, 2009.
DOI : 10.3724/SP.J.1010.2009.00342

A. J. Richardson and J. H. Everitt, Using spectral vegetation indices to estimate rangeland productivity, Geocarto International, vol.43, issue.1, pp.63-77, 1992.
DOI : 10.1080/01431168708954817

C. F. Jordan, Derivation of Leaf-Area Index from Quality of Light on the Forest Floor, Ecology, vol.50, issue.4, pp.663-666, 1969.
DOI : 10.2307/1936256

J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering, Monitoring vegetation systems in the great plains with ERTS, pp.48-62, 1973.

A. R. Huete, A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, vol.25, issue.3, pp.295-309, 1988.
DOI : 10.1016/0034-4257(88)90106-X

G. Rondeaux, M. Steven, and F. Baret, Optimization of soil-adjusted vegetation indices, Remote Sensing of Environment, vol.55, issue.2, pp.95-107, 1996.
DOI : 10.1016/0034-4257(95)00186-7

J. Qi, A. Chehbouni, A. Huete, Y. Kerr, and S. Sorooshian, A modified soil adjusted vegetation index, Remote Sensing of Environment, vol.48, issue.2, pp.119-126, 1994.
DOI : 10.1016/0034-4257(94)90134-1

N. H. Broge and E. Leblanc, Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density, Remote Sensing of Environment, vol.76, issue.2, pp.156-172, 2000.
DOI : 10.1016/S0034-4257(00)00197-8

R. E. Crippen, Calculating the vegetation index faster, Remote Sensing of Environment, vol.34, issue.1, pp.71-73, 1990.
DOI : 10.1016/0034-4257(90)90085-Z

A. Bannari, H. Asalhi, and P. M. Teillet, Transformed difference vegetation index (TDVI) for vegetation cover mapping, IEEE International Geoscience and Remote Sensing Symposium, 2002.
DOI : 10.1109/IGARSS.2002.1026867

J. L. Roujean and F. M. Boreon, Estimating PAR absorbed by vegetation from bidirectional reflectance measurements, Remote Sensing of Environment, vol.51, issue.3, pp.375-384, 1995.
DOI : 10.1016/0034-4257(94)00114-3

H. Q. Liu and A. R. Huete, A feedback based modification of the NDVI to minimize canopy background and atmospheric noise, IEEE Transaction on Geosci. Remot. Sens, vol.33, pp.457-465, 1995.

B. Pinty and M. M. Verstraete, GEMI: a non-linear index to monitor global vegetation from satellites, Vegetatio, vol.91, issue.1, pp.15-20, 1992.
DOI : 10.1007/BF00031911

E. P. Crist, R. Laurin, and R. C. Cicone, Vegetation and soils information contained in transformed thematic mapper data, International Geoscience and Remote Sensing Symposium (IGARSS'86), pp.1465-1470, 1986.

B. C. Gao, NDWI???A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, vol.58, issue.3, pp.257-266, 1996.
DOI : 10.1016/S0034-4257(96)00067-3

X. Xiao, S. Boles, S. Frolking, W. Salas, I. B. Moore et al., Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data, International Journal of Remote Sensing, vol.4, issue.15, pp.3009-3022, 2002.
DOI : 10.1016/0034-4257(80)90096-6

L. Wang and J. Qu, NMDI: A normalized multi-band drought index for monitoring soil and vegetation moisture with satellite remote sensing, Geophysical Research Letters, vol.16, issue.20, pp.204-208, 2007.
DOI : 10.1029/2007GL031021

T. Kobayashi, E. Kanda, K. Kitada, K. Ishiguro, and Y. Torigoe, Detection of Rice Panicle Blast with Multispectral Radiometer and the Potential of Using Airborne Multispectral Scanners, Phytopathology, vol.91, issue.3, pp.316-323, 2001.
DOI : 10.1094/PHYTO.2001.91.3.316

S. N. Sivandm, S. Sumathi, and S. N. Deepa, Introduction to neural networks using Matlab 6.0, Tata mcgraw-Hill publishing company limited, 2006.

R. G. Congalton, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing of Environment, vol.37, issue.1, pp.35-46, 1991.
DOI : 10.1016/0034-4257(91)90048-B

G. Asrar, Theory and applications of optical remote sensing, pp.119-125, 1989.