LG CNS Builds 'Smart Farm Intelligence Platform' in Naju... Providing Farming Guidance with AI

Service image of the intelligent platform implemented by LG CNS [Photo by LG CNS]

LG CNS announced on the 13th that it has completed the construction of the 'Advanced Unmanned Automated Agricultural Production Pilot Complex Intelligent Platform' in Naju-si, Jeollanam-do.

The Ministry of Agriculture, Food and Rural Affairs and Jeollanam-do have been promoting the Advanced Unmanned Automated Agricultural Production Pilot Complex Intelligent Platform project since 2022. The goal of this project is to establish a smart farm based on an intelligent platform on approximately 160,000 pyeong (about 76 times the size of a soccer field) of open fields located in Bannam-myeon, Naju-si.

In this project, LG CNS implemented the intelligent platform that serves as the brain of the smart farm. Through this, the entire farming process can be managed integrally to maximize crop yield and improve quality. LG CNS built the intelligent platform based on its proprietary smart city platform, Cityhub. For data collection, the Internet of Things (IoT) platform INFioT was applied, and for data analysis and prediction, the AI and big data platform DAP MLDL was utilized.

The smart farm introduced in Naju-si will be pilot-operated by the Jeollanam-do Agricultural Research and Extension Services and the Jeollanam-do Seed Management Office. LG CNS plans to expand the application of smart farms in the future based on the success reference of this project.

Specifically, the intelligent platform provides services such as ▲ data-driven intelligent services ▲ production volume and price prediction ▲ unmanned agricultural machinery control.

The data-driven intelligent service analyzes various farming-related data such as soil, weather, and pest occurrence using artificial intelligence (AI) to provide optimal farming guidance.

Production volume and price prediction help farmers achieve stable income. The existing production prediction method involved experts visually analyzing leaf length and area based on images and videos obtained from closed-circuit television (CCTV), drones, and other sources.

LG CNS enhanced this by additionally applying about 22,000 pieces of accumulated weather data from the Jeonnam region. Basic information such as crop type and sowing date can be easily input into the system. LG CNS also implemented short- and long-term price prediction models according to crop harvest periods to assist decision-making such as changing shipment timing.

Using the intelligent platform, various unmanned agricultural machinery such as unmanned tractors, unmanned drones, and unmanned rice transplanters can be remotely managed. The status of machinery, including fuel levels and malfunction status, can be checked at a glance, and work schedules can be managed by date and time.

Lee Junho, Executive Director of LG CNS Smart Logistics & City Business Division, said, "We will continue to actively promote smart city service projects, including smart farms, to provide differentiated customer experiences."

This content was produced with the assistance of AI translation services.