AgMIP-East Asia and AgMIP-Rice Joint International Symposium Held in Beijing October 24-26, 2026

5 November, 2026

The Agricultural Model Intercomparison and Improvement Project (AgMIP) East Asia International Workshop was successfully held at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, from October 24-26, 2026. The workshop was jointly organized by the AgMIP East Asia Regional Team (AgMIP-East Asia) and the AgMIP Rice Team (AgMIP-Rice), under the theme “Agricultural Models and Artificial Intelligence Empowering Smart Agriculture.” It attracted nearly 100 experts, scholars, and young researchers from China, the United States, France, Japan, the Republic of Korea, the Philippines, and other countries. Participants came from the Japan International Research Center for Agricultural Sciences (JIRCAS), the National Agriculture and Food Research Organization (NARO) of Japan, Seoul National University of the Republic of Korea, the French National Research Institute for Agriculture, Food and Environment (INRAE), Oregon State University of the United States, the International Rice Research Institute (IRRI), the International Maize and Wheat Improvement Center (CIMMYT), as well as domestic and international universities and research institutions including the Chinese Academy of Sciences, China Agricultural University, the Chinese Academy of Agricultural Sciences, the Chinese Academy of Meteorological Sciences, Peking University, and Beijing Normal University. On October 25 and 26, the workshop held two days of academic presentations and exchanges.

Professor Fulu Tao of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Chair of the conference, first delivered opening remarks. He warmly welcomed experts and peers from home and abroad to discuss the innovation and application of agricultural models, and emphasized the challenges facing agricultural production systems against the background of global change and the importance of agricultural models in developing smart agriculture. The conference invited some renowned experts in related fields to give academic presentations, with a total of 35 presentation, including 26 oral presentations and 9 posters. Latest research progress was reported and in-depth discussions were held around topics such as the impacts of extreme climate and compound disasters on agriculture, agricultural model intercomparison and improvement, integrated assessment of regional impacts of global change, agricultural big data, agricultural models, and artificial intelligence empowering smart agriculture, and agricultural adaptation, carbon sequestration and emission reduction, and climate-smart agriculture.

Finally, participating experts conducted in-depth exchanges on future research priorities, the feasibility and implementation pathways of international cooperation, and the prospects for deep integration of artificial intelligence and crop process models. They focused on the potential of coupling big data, artificial intelligence, and agricultural models to drive model innovation, improve predictive capability, and support intelligent agricultural decision-making, and exchanged views on strengthening international research cooperation, promoting data and model sharing, and advancing interdisciplinary research.

This conference was a high-level academic event. It not only showcased the latest advances in interdisciplinary research on agricultural information, models, and artificial intelligence, providing ideas for further deepening research, but also promoted in-depth exchanges among different countries, research institutions, and disciplines, offering new ideas and a cooperation platform for deepening domestic and international cooperation, advancing agricultural model innovation, and developing smart agriculture.

The full Symposium agenda is included below.

Participant group photo from the AgMIP-East Asia and AgMIP-Rice Joint International Symposium

Symposium Theme: Coupling Agricultural Models with Artificial Intelligence to Empower Smart Agriculture

Symposium Venue: Room C602, No. 11A, Datun Road, Chaoyang District, Beijing, China (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences)

Symposium Date: October 24-26, 2026

Agenda

Poster Presentations:

Linking Genotype to G×E×M: Gene-Based Crop Modelling for Climate-Resilient Wheat
Yibo Li

Towards field-level crop yield prediction: integrating chlorophyll-driven biomass estimation and dynamic harvest index
Hongwei Zeng

Potential Expansion Areas of Potato in China and Their Multiple Benefits
Yang Li

Global Agricultural Drought Risk and Crop Production Resilience under Climate Change
Shuyang Han

Stage-Specific Environmental Characterization and Decision-Support Methods for Intelligent Control in a Chinese Solar Greenhouse
Xingyun Zhou

A Bottom-Up Framework for Compound Agricultural Disaster Risk Assessment: From the Separation of Hazard–Exposure–Vulnerability to Agricultural Model Improvement
Ying Tao

Dynamic Crop Yield Prediction at an 8-Day Scale by Combining Sun-Induced Chlorophyll Fluorescence Indices and Subseasonal Climate Forecasts
Chenxi Lu

Identification and Mapping of Irrigation Methods in China at 1-km Resolution
Yiqing Liu

How Much Climate Risk Can Management Offset? Evidence from Rice in Southeast Asia and Maize in China
Dianpeng Chen

High-Temperature Stress during Rice Flowering: The Key Role of Accumulated Temperature and Coastal Adaptation
Manshan Yang