[3] Tilling A K, O’Leary G J, Ferwerda J G, et al. Remote sensing of nitrogen and water stress in wheat[J]. Field Crops Research2007,104(1):77-85.
[4] Huang W J, Lamb D W, Niu Z, et al. Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging[J]. Precision Agriculture2007,8(5):187-197.
[5] Johnson D A, Richard A J, Hamm P B, et al. Aerial photography used for spatial pattern analysis of late blight infection in irrigated potato circles[J]. Phytopatholog2003,93(7):805-812.
[6] Everitt J H, Escobar D E, Appel D N, et al. Using airborne digital imagery for detecting oak wilt disease[J].Plant disease1999,83(6):502-505.
[7] Adams M L, Philpot W D, Norvell W A. Yellowness index: an application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation[J]. International Journal of Remote Sensing1999,20(18):3663-3675.
[8] Hamid Muhammed H. Hyperspectral crop reflectance data for characterizing and estimating fungal disease severity in wheat[J]. Bios stems Engineering2005:91(1):9-20.
[9] Chen B, LI S K, Wang K R, et al. Spectrum characteristic of cotton canopy infected with Verticillium wilt and applications[J]. Agricultural Sciences in china2008,7(5):561-569.
[10] Apan A, Held A, Phinn S, et al. Detecting sugarcane ‘orange rust’disease using EO-1 Hyperion hyperspectral imagery[J]. International Journal of Remote Sensing,2004,25(2):489-498.
[11] Jonas F, Gunter M. Multi-temporal wheat disease detection by multi-spectral remote sensing[J]. Precision Agriculture2007,8(3):161-172.