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2026 14th International Conference on Agro-Geoinformatics

Agro-Geoinformatics

About the Conference

The 14th International Conference on Agro-Geoinformatics (Agro-Geoinformatics 2026) will be held in Sanya, China, from July 13-16, 2026. The conference is organized and hosted by the International Society of Agromatics (ISAM), Hainan Institute of Zhejiang University, and the Center for Spatial Information Science and Systems (CSISS) of George Mason University.

Agro-Geoinformation is critical for the agricultural sustainability, food security, environmental research, bioenergy, natural resource conservation, land use management, carbon accounting, global climate change, health research, agricultural industry, commodity trading, economy research, education, agricultural decision-making and policy formulation, etc. The Agro-Geoinformatics conferences were successfully held in Shanghai, China (Agro-Geoinformatics 2012), Washington DC, USA(Agro-Geoinformatics 2013), Beijing, China (Agro-Geoinformatics 2014), Istanbul Turkey (Agro-Geoinformatics 2015), Tianjin, China (Agro-Geoinformatics 2016), Washington DC, USA (Agro-Geoinformatics 2017), Hangzhou, China (Agro-Geoinformatics 2018), Istanbul, Turkey (Agro-Geoinformatics 2019), Virtual, (Agro-Geoinformatics 2021), Quebec City, Canada (Agro-Geoinformatics 2022), Wuhan, China (Agro-Geoinformatics 2023), Novi Sad, Serbia (Agro-Geoinformatics 2024), Boulder, USA (Agro-Geoinformatics 2025). The Agro-Geoinformatics conferences have provided and will continue to provide an ideal venue for professionals and students to exchange their ideas, research results, professional experiences, the latest developments and future vision of agro-geoinformatics. The Agro-Geoinformatics 2026 conference will continue covering the recent advances in the life cycle of Agro-geoinformatics, from data collection (including field surveys and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, disseminating to decision making.

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