Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression

Journal of Integrative Agriculture

Volumn 11, Issue 9, 2012, Pages 1445-1452

  Li, Cun Jun ^a,b   Wang, Ji Hua ^a,b   Wang, Qian ^a   Wang, Da Cheng ^a   Song, Xiao Yu ^a   Wang, Yan ^a   Huang, Wen Jiang ^a,b  

^a BEIJING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^b NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

Author keywords

Agronomic parameters; Grain protein content; Landsat; Multi temporal; Partial least squares regression

Indexed keywords

TRITICUM AESTIVUM;

EID: 84866159967     PISSN: 20953119     EISSN: None     Source Type: Journal    
DOI: 10.1016/S2095-3119(12)60144-0     Document Type: Article

References (21)

1. Badri B B, Apan A A, Kelly R M, Jensen T A, Strong W M, Butler D G. 2003. Relating satellite imagery with grain protein content. In: Proceedings of the Spatial Sciences Conference. Canberra, Australia. pp. 22-27.
2. Feilhauer H, Asner GP, Martin RE, Schmidtlein S Brightness-normalized partial least squares regression for hyperspectral data. Journal of Quantitative Spectroscopy and Radiative Transfer 2010, 111:1947-1957.
3. Hansen PM, Jorgensen JR, Thomsen A Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression. Journal of Agricultural Science 2002, 139:307-318.
4. Hansen PM, Schjoerring JK Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment 2003, 86:542-553.
5. Li L Quantifying lunar soil composition with partial least squares modeling of reflectance. Advances in Space Research 2008, 42:267-274.
6. Li YX, Zhu Y, Tian YC, You XT, Zhou DQ, Cao WX Relationship of grain protein content and relevant quality traits to canopy reflectance spectra in wheat. Scientia Agricultura Sinica 2005, 38:1332-1338. (in Chinese).
7. Liang SL Quantitative Remote Sensing of Land Surfaces 2004, Wiley and Sons, Hoboken, NJ, USA.
8. Huang WJ, Zhao CJ, Wang JH, Wang JD, Ma ZH Application of red edge variables to nutrition diagnosis and grain quality forecast of winter wheat. Transactions of the Chinese Society of Agricultural Engineering 2004, 20:1-6. (in Chinese).
9. Petterson CG, Eckersten H Prediction of grain protein in spring malting barley growth in northern Europe. European Journal of Agronomy 2007, 27:205-214.
10. Reyniers M, Vrindts E, Baerdemaeker JD Comparison of an aerial-based system and an on the ground continuous measuring device to predict yield of winter wheat. European Journal of Agronomy 2006, 24:87-94.
11. Song XY, Wen JH, Wang JH, Liu LY, Li CJ Preliminary application of ASTER images in winter wheat quality monitoring. Transactions of the Chinese Society of Agricultural Engineering 2006, 9:148-154.
12. Tian Y C. 2003. Monitoring water status in rice and growth parameters in rice and wheat with canopy spectral reflectance. Ph D thesis, Nanjing Agricultural University, China. (in Chinese).
13. Tobias R D. 1995. An introduction to partial least squares regression. In: Proceedings of the 20th Annual SAS Users Group International Conference, Cary, NC, USA.
14. Wang JH, Huang WJ, Zhao CJ, Yang MH, Wang ZJ The inversion of leaf biochemical components and grain quality indicators of winter wheat with spectral reflectance. Journal of Remote Sensing 2003, 7:277-284. (in Chinese).
15. Wang JH, Zhao CJ, Huang WJ Basis and Application of Agriculture Quantitative Remote Sensing 2008, Science Press, Beijing, China, (in Chinese).
16. Wang ZJ, Wang JH, Liu LY, Huang WJ, Zhao CJ, Wang CZ Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR). Field Crops Research 2004, 90:311-321.
17. Wei YM Corn Quality and Food Processing-Wheat Grain Quality and Food Processing 2005, China Agricultural Science and Technology Press, Beijing, China, (in Chinese).
18. Wolda S, Sjöströma M, Erikssonb L PLS-regression: a basic tool of chemometric. Chemometrics and Intelligent Laboratory Systems 2001, 58:109-130.
19. Wright DL, Ritchie G, Rasmussen VP, Ramsey RD, Baker D Managing protein in hard red spring wheat with remote sensing. The 6th Annual National Wheat Industry Research Forum 2003, Hyatt Regency Albuquerque, New Mexico.
20. Xue LH, Zhu Y, Zhang X, Cao WX Predicting wheat grain quality with canopy reflectance spectra. Acta Agronomica Sinica 2004, 30:1036-1041. (in Chinese).
21. Zhao CJ, Liu LY, Wang JH, Huang WJ, Song XY, Li CJ Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress. International Journal of Applied Earth Observation and Geoinformation 2005, 7:1-9.