Key Takeaways
- ETRI, Damyang‑gun, KIST Gangneung Branch, and KAIST are collaborating to build a next‑generation smart‑agriculture platform that combines Artificial General Intelligence (AGI), multi‑agent systems, and AI‑driven robots.
- The project covers the full smart‑agriculture life cycle: precision cultivation, environment optimization, autonomous robot operation, and productivity prediction.
- A field demonstration platform will let local farmers test the technology, ensuring practical applicability and a path to commercialization.
- Each partner has a defined role: ETRI leads AGI/multi‑agent core tech and overall integration; Damyang‑gun provides the demo site, infrastructure, and farmer training; KIST handles data‑based growth management and environment optimization; KAIST focuses on AGI‑powered data analysis, prediction models, and human‑robot interaction.
- The ultimate goal is to create an automated, intelligent operating system that mitigates Korean agriculture’s structural challenges—climate change, shrinking workforce, and declining productivity—by delivering precision‑cultivation models, yield‑prediction algorithms, smart robot systems, and integrated control platforms.
Project Overview
A team of Korean researchers will jointly develop next‑generation smart agriculture technology that converges Artificial General Intelligence (AGI), multi‑agent systems, and AI robot technologies, and will begin full‑scale cooperation to establish an industrialization foundation by demonstrating it in actual agricultural fields.
Core Technology Development
Electronics and Telecommunications Research Institute (ETRI) announced that it has decided to join forces with Damyang‑gun (a rural village of South Korea), the Smart Farm Convergence Research Center at the KIST Gangneung Branch, and the Human‑Robot Interaction Core Research Center at KAIST for “AI‑Robot Convergence Smart Agriculture Technology Development and Demonstration Cooperation.”
Through this cooperation, the four organizations will jointly develop new core technologies across the entire smart agriculture life cycle, including:
- ▲ AI/data‑based precision cultivation technology
- ▲ Crop growth environment optimization technology
- ▲ Autonomous agricultural robot operation technology
- ▲ Productivity prediction model development
and create a sustainable smart agriculture ecosystem.
In addition, they are building strategies to secure both the field applicability and expansion potential of the developed technology by establishing a field demonstration platform in which local farmers directly participate.
Intelligent Agricultural Operation Model
In particular, at the center of this cooperation is the development of a next‑generation intelligent agricultural operation model using AGI and multi‑agent technology. The plan is to realize the goal of significantly improving agricultural productivity and operational efficiency by building an intelligent agricultural operation model that analyzes, judges, and operates in an integrated manner, moving away from the existing method of individually managing various agricultural elements such as crops, the environment, and robots.
Roles of Each Organization
The roles of each organization in this project are divided as follows:
- ETRI will oversee the development of core smart agriculture technologies based on AGI and multi‑agents, and lead the technical demonstration of an integrated operation of greenhouses, sensors, robots, and data. It will also establish an industry‑unity‑research‑government cooperation framework and be responsible for planning cooperative projects with the government and local governments.
- Damyang‑gun will support productivity improvement by providing smart agriculture demonstration complexes, expanding agricultural infrastructure, and providing technology dissemination and education for local farmers.
- KIST Smart Farm Convergence Research Center will be in charge of developing data‑based growth management and environment optimization technologies and demonstrating unmanned agricultural systems and operation models.
- KAIST Human‑Robot Interaction Core Research Center plans to conduct research on AGI‑based agricultural data analysis and prediction models and develop smart agriculture service models based on robot interaction technology.
Each institution plans