Introducing real-time advisory farming agents to the digital platform “Urban Green Farm” Data-driven guidance from cultivation techniques to agricultural market price analysis
Lotte Innovate accelerates advancement of smart farms. Courtesy of Lotte Innovate
Lotte Innovate is accelerating the advancement of its smart farm agent by integrating an artificial intelligence (AI) solution into its digital farming platform, Urban Green Farm. The plan is to gain a first-mover advantage in a technology-centered agricultural ecosystem and lead what it describes as the agricultural AI transformation (AX).
This intelligent conversational system, designed based on a large language model (LLM), goes beyond one-way information delivery to perform a customized advisory role for growers. It intuitively provides guidance on the latest trends in facility horticulture and crop-specific growth instructions, enabling even novice farmers with low skill levels to immediately apply advanced knowledge.
Growers can raise questions in real time in a virtual space about unexpected situations or issues encountered during facility operations and make decisions based on accumulated numerical data. This is expected to reduce trial and error in farm management, improve operational efficiency, and generate economic benefits by increasing yields and curbing expenditure. In addition, by linking wholesale market price analysis data, it enables the establishment of precise strategies for adjusting shipment timing.
Lotte Innovate accelerates advancement of smart farms. Courtesy of Lotte Innovate
Previously, the company secured a vision recognition AI model that estimates plant growth rates from camera footage and detects signs of disease in advance. Going forward, it plans to bundle these analytical tools into a software-as-a-service (SaaS) offering to expand its supply chain. This will support an environment in which the general public, even without prior experience in soil or climate control, can easily manage remote farms.
A Lotte Innovate official stated that the company will continue to collect on-site indicators to enhance computational precision and user convenience, adding that it aims to contribute to a fundamental transformation of primary industry management systems through digital technology and to strengthening the competitiveness of future food resources.
Kim Sang-jun
AI-translated with ChatGPT. Provided as is; original Korean text prevails.
ⓒ dongA.com. All rights reserved. Reproduction, redistribution, or use for AI training prohibited.
