Managing grain protein content by remote sensing in winter wheat

Wenjiang Huang; Jihua Wang; Xiaoyu Song; Chunjiang Zhao; Liangyun Liu

doi:10.1117/12.737713

10 October 2007 Managing grain protein content by remote sensing in winter wheat

Wenjiang Huang, Jihua Wang, Xiaoyu Song, Chunjiang Zhao, Liangyun Liu

Proceedings Volume 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX; 67420W (2007) https://doi.org/10.1117/12.737713
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

Advanced site-specific determination of grain protein content by remote sensing can provide opportunities to optimize the strategies for purchasing and pricing grain, and to maximize the grain output by adjusting field inputs. Field experiments were performed to study the relationship between grain quality indicators and foliar nitrogen concentration. Foliar nitrogen concentration at the anthesis stage is suggested to be significantly correlated with grain protein content, while spectral vegetation index is significantly correlated to foliar nitrogen concentration around the anthesis stage. Based on the relationships among nitrogen reflectance index (NRI), foliar nitrogen concentration, and grain protein content, a statistical evaluation model of grain protein content was developed. NRI proved to be able to evaluate foliar nitrogen concentration with a coefficient of determination of R²= 0.7302 in year 2002. The relationship between measured and remote sensing derived foliar nitrogen concentration had a coefficient of determination of R²=0.7279 in year 2003. The results mentioned above indicate that the inversion of foliar nitrogen concentration and the evaluation of grain protein content by NRI are surprisingly good.

Citation Download Citation

Wenjiang Huang, Jihua Wang, Xiaoyu Song, Chunjiang Zhao, and Liangyun Liu "Managing grain protein content by remote sensing in winter wheat", Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420W (10 October 2007); https://doi.org/10.1117/12.737713

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