[1]
[2] Badri B B, Apan A A, Kelly R M, et al. Relating satellite imagery with grain protein content [J]. Proceedings of the Spatial Sciences Conference, 2003. (9): 22-27.
[3] Petterson C G, Eckersten H. Prediction of grain protein in spring malting barley growth in northern Europe [J]. European Journal of Agronomy, 2007, 27(2): 205-214.
[4]
[5]
[6] Wang Jihua, Huang Wenjiang, Zhao Chunjiang, et al. The inversion of leaf biochemical components and grain quality indicators of winter wheat with spectral reflectance [J]. Journal of Remote Sensing, 2003, 7(4): 277-284.
[7]
[8] Huang Wenjiang, Wang Jihua, Liu Liangyun. Study on grain quality effecting factors and monitoring methods by using hyperspectral data in winter wheat [J]. Remote Sensing Technology and Application, 2004,3: 143-148.
[9] Tarpley L, Raja Reddy K, Gretchen F, et al. Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration[J]. Crop Science, 2000, 40(2): 1814-1819.
[10]
[11] Wang Z J, Wang J H, Liu L Y, et al. Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR) [J]. Field Crops Research, 2004, 90(2-3): 311-321.
[12]
[13]
[14] Zhao C J, Liu L Y, Wang J H, et al. Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress [J]. International Journal of Applied Earth Observation And Geoinformation, 2005, 7(1): 1-9.
[15] Kalubarme M H, Potdar M B, Manjunath K R, et al. Growth profile based crop yield models: A case study of large area wheat yield modelling and its extendibility using atmospheric corrected NOAA AVHRR data [J]. International Journal of Remote Sensing, 2003, 24(10): 2037-2054.
[16]
[17] Wang Dacheng, Li Cunjun, Song Xiaoyu, et al. Analysis of identifying important ecological factors influencing winter wheat protein content based on artifical neural networks [J]. Transactions of the CSAE, 2010, 26 (7): 220 -226. (in Chinese)