学术活动

remote sensing and weather data assimilation with crop model for real-time monitoring and accurate yield prediction

时间: 2017/11/22

题 目

remote sensing and weather data assimilation with crop model for real-time monitoring and accurate yield prediction

主讲人

Tao LI

Scientist II, Crop Modeler; International Rice Research Institute

As ecosystem and crop modeler for more than 20 years, experienced in the development of rice cropping system models (ORYZA2000, APSIM-ORYZA and DSSAT-ORYZA) and crop model based ICT tools; and model applications on: quantification of the impacts of abiotic stress of climate change on rice growth; foresight and ex-ante evaluation of impacts of rice varietal and agronomic technology disseminations on rice production; risk analysis of regional rice production caused by extreme weather; assessment of varietal performance in wide range of environments; linking crop model with genetics for rice breeding, identification of constraints and management optimization of rice production, and data integration for the monitoring of the dynamic of rice growth and production.

Employment 

Jan 2009 to Now: Scientist II ▬ crop modeler, International Rice Research Institute (IRRI);

Aug 2000 to Dec 2008: Ph.D. student, Scientist I/II, University of Alberta, & Research Council of Alberta, Canada.

Feb 1999 to July 2000: Associate Professor, Cold and Arid Environment and Engineering Research Institute, Chinese Academy of Science. 

Aug 1997 to Jan 1999: M.Sc. student. Wageningen University, the Netherlands 

Education 

Ph.D. 2005; Soil Science and Ecosystem Modeling; University of Alberta, Canada 

M.Sc.1999; Ecological Agriculture; Wageningen University, the Netherlands

B.Sc. 1985; Horticulture; South-west Agricultural University, China

 

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