Yogyakarta, February 9, 2026 – Universitas Gadjah Mada (UGM), in collaboration with Indosat Ooredoo Hutchison (IOH) and NVIDIA, conducted a series of Tech Meetings as part of strengthening strategic collaboration in the development of artificial intelligence research and ecosystem. The activities were held over two days, February 9–10, 2026, at the Gelanggang Inovasi dan Kreativitas (GIK) UGM and several related faculties within UGM.
The program began with a Coordination Meeting and Research Meeting involving three major UGM research clusters: Multimodal AI for Smart Agriculture, Precision Medicine, and Disaster Technology. The discussion was led by the Head of UGM Digital Transformation Bureau, Dr. Mardani Riasetiawan, M.T., and attended by university leaders, cross-faculty researchers, as well as delegates from the NVIDIA AI Technology Center and Indosat Ooredoo Hutchison.
Multimodal AI for Tropical Precision Agriculture
During the Smart Agriculture research presentation session, the Faculty of Agricultural Technology (FTP) UGM team, represented by Ir. Andri Prima Nugroho, S.T.P., M.Sc., Ph.D., IPU., ASEAN Eng., APEC Eng., Ardan Wiratmoko, S.T.P., M.Sc., and Muhammad Athala Fawwaz Dzaky, S.T.P., introduced the initiative “Multimodal AI for Tropical Precision Agriculture.”
This initiative integrates drone data, greenhouse imagery, hyperspectral sensors, and microclimate IoT data into a unified NVIDIA-based edge–cloud platform. The system is designed to support plant stress detection, canopy analysis, disease identification, and real-time environmental condition integration using NVIDIA Jetson, TAO Toolkit, TensorRT, and Metropolis technologies.
Visit to NVIDIA AI Technology Center Candidate Site
The agenda continued with a visit to the proposed NVIDIA AI Technology Center (NVAITC) Joint Center site at GIK UGM, as part of planning a collaborative research hub. During this session, NVIDIA and IOH representatives assessed UGM’s research infrastructure readiness to support edge AI implementation and 5G–edge–cloud orchestration systems.
Laboratory Visit at FTP UGM
As part of the Laboratory Visit session, the delegation visited several faculties, including the Faculty of Agricultural Technology (FTP) UGM. At FTP, the visit focused on laboratory facilities supporting precision agriculture research, particularly the Agricultural Energy and Machinery Laboratory of the Department of Agricultural and Biosystems Engineering (DTPB).
The FTP team presented potential applications of Multimodal AI in tropical agriculture, ranging from drone-based crop monitoring and greenhouse visual analytics to environmental sensor integration for agronomic decision support.
Researchers from DTPB FTP UGM emphasized that collaboration with NVIDIA and IOH creates significant opportunities for developing more comprehensive data-driven precision agriculture systems. Edge AI technology enables real-time field-level analysis, while 5G connectivity supports real-time data transmission from agricultural sites to centralized computing systems.
Through this series of Tech Meetings and laboratory visits, FTP UGM reaffirmed its commitment to advancing applied Multimodal AI research with direct impact on tropical agriculture. This collaboration is expected to lay the foundation for advanced technology-based smart farming development while strengthening UGM’s role as an AI research innovation hub in Indonesia.
The activity also contributes to the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger) through increased agricultural productivity, SDG 9 (Industry, Innovation, and Infrastructure) through research and technological advancement, and SDG 17 (Partnerships for the Goals) through collaboration between universities and global technology industries.
