男，入选国家海外高层次人才引进项目， 1983年生，中国科学院大学与澳大利亚科工组织联合培养博士。2013-2015年赴德国波恩大学开展作物模型相关博士后研究。2016年开始在世界500强企业拜耳作物科学德国总部和巴斯夫集团德国总部担任数字农业方向的技术负责人（核心技术人员保留奖金获得者），领导从0到1开发了Field Manager智慧农业平台，商业化落地超过7个国家，该平台提供水稻、小麦、玉米和大豆的全程优化托管服务，已成功商业化推广至多个国家，年服务面积达4000万公顷，年收益超7000万欧元。长期从事水稻、小麦、玉米等作物的表型监测、智慧农业解决方案、作物生长模型构建、病虫草植保模型、农业大数据管理及气候变化影响评估等研究。主持了巴斯夫、拜耳、大疆创新和欧盟等资助的10多个项目。参与研发了“Smart Sprayer”产品的开发，结合高精度传感器和智能算法，大幅减少农药使用并提升作业效率，推动了精准农业设备的陆地和农艺和农机的融合技术。回国后，主持了陕西省重点研发项目，并参与了广西省重点研发计划，主导了“葡萄通”等数字农业产品开发并开发了其核心模型部分，推进了其在广西的落地应用和推广。在《Global Change Biology》、《Agricultural and Forest Meteorology》、《Plant Phenomics》、《Pest Management Science》、《European Journal of Agronomy》等期刊发表了40余篇SCI论文，转化10余项智慧农业相关国际发明专利。其研究成果每年为相关企业带来千万级经济效益，推动了智慧农业在全球范围内的落地和发展。

2002-2006 本科 太原理工大学 测绘工程 导师：葛永慧 教授
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
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
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

智慧农业技术，作物模型，全球变化，病虫草害模型

企业合作项目 智慧农业决策模型 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

中国科学院院长优秀奖，中国科学院地奥二等奖，巴斯夫核心技术人才