男，中国科学院大学与澳大利亚联邦科学与工业研究组织（CSIRO）联合培养博士，获得院长奖学金和CSIRO NIL奖学金。入选国家高技术人才引进项目。2013年至2015年在德国波恩大学开展作物模型领域的博士后研究。自2016年起，担任世界500强企业拜耳作物科学和巴斯夫集团德国总部的数字农业技术负责人，专注于智慧农业的研究与应用。长期从事水稻、小麦、玉米等主要作物的表型监测、作物生长模型构建、病虫害与杂草防治模型、农业大数据管理及气候变化对农业的影响评估。迄今在Global Change Biology、Agricultural and Forest Meteorology、Plant Phenomics、Pest Management Science、European Journal of Agronomy等国际知名期刊发表了30余篇SCI论文，转化10余项智慧农业相关的国际发明专利。

教育(访问)经历：

2009-2013博士中国科学院地理科学与资源研究所 生态学 导师：于强 教授

2010-2012 博士联合培养 CSIRO Ecosystem Sciences 全球变化与农业政策 导师：Prof. Brett Bryan

2006-2009 硕士 太原理工大学 地图制图学与地理信息工程 导师：葛永慧 教授

2002-2006 本科 太原理工大学 测绘工程 导师：葛永慧 教授

工作经历：

2021.03-2024.06 巴斯夫数字农业 高级技术总监 永久职位

2018.7-2021.02 巴斯夫数字农业 高级技术主管 永久职位

2016.2-2018.6 拜耳作物科学 技术主管 永久职位

2013.6–2016.1 波恩大学 博士后 农田生态系统模拟和全球变化 合作导师：Prof. Frank Ewert，Prof. Stefan Siebert

智慧农业模型和观测技术，全球变化与碳氮循环，地下水与节水灌溉，植物保护技术，作物模型。

企业合作项目 水稻智慧植保模型和解决方案 500万 2024-2029主持

陕西省重点研发计划 农作物病虫害人工智能诊断预警研究与示范65万 2023-2025主持

面向智慧农业新一代作物模型研发 600万  2024-2029 主持

欧盟（FP7） LIAISE: Linking Impact Assessment Instruments to Sustainability Expertise 700万欧元2009-2014参与

欧盟（JPI FACCE） Modelling European Agriculture with Climate Change for Food Security (MACSUR):European FACCE JPI Knowledge Hub  1500万欧元  2012-2017参与

BMBF Limpopo Living Landscapes - Understanding the dynamics of ecological and cultural landscapes,in the face of global change,in the northern Limpopo region of South Africa 2013-2016 参与

Zhao,G.*,Zhao,Q.,Webber,H.,Johnen,A.,Rossi,V.,& Junior,A. F. N.  2024. Integrating machine learning and change detection for enhanced crop disease forecasting in rice farming: A multi-regional study. European Journal of Agronomy,160,127317.

Tan,J.,Zhao,G.*,Tian,Q.,Zheng,L.,Kang,X.,He,Q.,...& Yu,Q*. 2024. Overcoming mechanistic limitations of process-based phenological models: A data clustering method for large-scale applications. Agricultural and Forest Meteorology, 356,110167.

Yan,C.,Liang,Z.,Yin,L.,Wei,S.,Tian,Q.,Li,Y.,...Zhao,G.*,Qu,J. * 2024. AFM-YOLOv8s: An Accurate,Fast,and Highly Robust Model for Detection of Sporangia of Plasmopara viticola with Various Morphological Variants. Plant Phenomics,6,0246.

Tian,Q.,Zhao,G.*,Yan,C.,Yao,L.,Qu,J.,Yin,L.,Yu,Q. (2024). Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop‐specific approaches. Pest Management Science.

Edmar I Teixeira,Gang Zhao,John de Ruiter,Hamish Brown,Anne-Gaelle Ausseil,Esther Meenken,Frank Ewert,2017,The interactions between genotype,management and environment in regional crop modeling. European Journal of Agronomy,88,106-115.

Zhao, G.,* H. Hoffmann, S.Xenia, C. Nendel,E. Coucheney,M. Kuhnert, F. Tao,J. Constantin,H. Raynal, E.Teixeira, B. Grosz, L. Doro, R. Kiese, H.Eckersten, E. Haas, D. Cammarano, B. Kassie, M. Moriondo, G. Trombi, M. Bindi, C.Biernath, F. Heinlein, C. Klein, E. Priesack, E. Lewan, K.-C. Kersebaum, R. Rötter, P. P. Roggero, D. Wallach, S. Asseng, S. Siebert, T. Gaiser and F. Ewert, 2016. Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. Environmental Modelling & Software, 80, 100-112.

Zhao,G.*,Webber,H.,Hoffmann,H.,Wolf,J.,Siebert,S.,Ewert,F.,2015. The implication of irrigation in climate change impact assessment: a European wide study. Global Change Biology,21,4031-4048.

Zhao,G. *,Siebert,S.,Enders,A.,Rezaei,E.E.,Yan,C. & Ewert,F.,2015.,Demand for multi-scale weather data for regional crop modeling. Agricultural and Forest Meteorology,200,156-171.

Zhao,G.,* B.A. Bryan,D. King,Z. Luo,E. Wang,Q. Yu,2015. Sustainable limits to crop residue harvest for bioenergy: maintaining soil carbon in Australia's agricultural lands. GCB Bioenergy 7,479-487.

Zhao, G., H. Hoffmann, S. Xenia, C. Nendel, E. Coucheney, M. Kuhnert, F. Tao, J. Constantin, H. Raynal, E. Teixeira, B. Grosz, L. Doro, R. Kiese, H. Eckersten, E. Haas, D. Cammarano, B. Kassie, M. Moriondo, G. Trombi, M. Bindi, C. Biernath, F. Heinlein, C. Klein, E. Priesack, E. Lewan, K.-C. Kersebaum, R. Rötter, P. P. Roggero, D. Wallach, S. Asseng, S. Siebert, T. Gaiser and F. Ewert, 2016. Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. Environmental Modelling & Software, 80, 100-112.

Zhao, G., Hoffmann, H., Bussel, L.v., Enders, A., Specka, X., Sosa, C., Yeluripati, J., Tao, F., Constantin, J., Raynal, H., Teixeira, E., Grosz, B., Doro, L., Zhao, Z., Vanuytrecht, E., Nendel, C., Kiese, R., Klatt, S., Haas, E., Kersebaum, K.-C., Kuhnert, M., Wang, E., Trombi, G., Bindi, M., Lewan, E., Eckersten, H., Bach, M., Roggero, P.P., Rötter, R., Wallach, D., Cammarano, D., Asseng, S., Krauss, G., Siebert, S., Gaiser, T., Ewert, F., 2015. Effect of weather data aggregation on regional crop simulations for different crops, production conditions, and response variables. Climate Research 65, 141-157.

 Zhao, G. *, Bryan B.A., King, D, Luo, Z, Wang E, Song X, Yu Q. 2013. Impact of agricultural management practices on soil organic carbon: simulation of Australian wheat systems. Global Change Biology, 19, 1585-1597.

Ewert F, van Bussel LGJ, Zhao G, Hoffmann H, Gaiser T, Specka X, Nendel C, Kersebaum K-C, Sosa C, Lewan E, Yeluripati J, Kuhnert M, Tao F, Rötter RP, Constantin J, Raynal H, Wallach D, Teixeira E, Grosz B, Bach M, Doro L, Roggero PP, Zhao Z, Wang E, Kiese R, Haas E, Eckersten H, Trombi G, Bindi M, Klein C, Biernath C, Heinlein F, Priesack E, Cammarano D, Asseng S, Elliott J, Glotter M, Basso B, Baigorria GA, Romero CC, Moriondo M., 2015. Uncertainties in Scaling-up Crop Models for Large-Area Climate Change Impact Assessments. In C. Rosenzweig