Wang Tao, male, master, 1988, Anhui Agricultural University, 2012 forest manager, master's degree. From 2013 to now, the Institute of Remote Sensing and Digital Earth of the Chinese Academy of Sciences, a visiting master student, is mainly engaged in the research of remote sensing inversion methods for crop nutrients.

Educational experience

2013/09–2015/07, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, quantitative remote sensing of vegetation, master's degree, tutor: researcher Huang Wenjiang;

2012/09–2013/06, Anhui Agricultural University, College of Forestry and Landscape Architecture, Forest Manager, Master, Tutor: Professor Dong Bin;

2008/09–2012/06, Anhui Agricultural University, College of Forestry and Landscape Architecture, Lin Xue major, undergraduate.

Participate in research projects

[1] National Natural Science Foundation of China, 41271412, Multi-source data research on remote sensing identification and monitoring methods for wheat diseases, 2013/01-2016/12, 750,000, participated.

[2] Chinese Academy of Sciences Hundred Talents Project, Y24001101A, Vegetation quantitative remote sensing parameter inversion and authenticity test, 2012/05-2015/05, 1.5 million, participated.

[3] National Natural Science Fund Project, 41071276, Research on Remote Sensing Monitoring of Crop Nutrient Space and Time Dimensional Expansion, 2011.01-2013.12, 380,000, participated.

Research results

Mainly

[1] Wang Tao, Huang Wenjiang*, Dong Bin, et al. Simulation of different leaf area index based on radiation distribution in summer corn canopy. Proceedings of the 18th CIGR International Conference on Agricultural Engineering, Beijing, 2014.

[2] Wang Tao, Huang Wenjiang*, Dong Bin, et al. Simulation of different leaf area index based on radiation distribution in summer corn canopy. Journal of Agricultural Engineering, 2015, 31(S1): 221-229. (EI)

[3] Wang Tao, Huang Wenjiang, Dong Bin, et al. Simulation of photosynthetically active radiation and leaf area index vertical distribution in maize canopy. Corn Science, 2016, 113.