Greener Lab, Applying Tree EMR System to Forest Fire Damaged Areas… Focusing on AI-based Tree Healthcare

Greener Lab Co., Ltd. (Co-CEOs Joo-yeol Choi and Chae-hyeon Son), an AI-based tree healthcare company, announced that it has established a digital-based forest disaster response system by applying the tree-specific electronic medical record (EMR) system 'TreeAiD' to the area damaged by the Gyeongsang Province forest fire that occurred in March of this year.

The system diagnoses the condition of trees damaged by forest fires and records and manages the data digitally. It helps to enable systematic on-site response that goes beyond the existing manual-based method. Through this project, Greener Lab systematized the information on damaged trees from a medical data perspective. Based on AI-based diagnosis and prescription data, it also plans to enhance the prediction model for responding to similar disasters such as forest fires and pests in the future.

Reduce actual work time, increase wildfire response efficiency

According to the company, after the introduction of the TreeAiD system, the work time was shortened from 8 hours before the introduction of TreeAiD to less than 4 hours after the introduction, and the operating cost was reduced by about 30%. Previously, the general method was to visually diagnose each damaged tree and record and report manually. This made it difficult to accumulate accurate data, took a lot of time for repetitive work and administrative processing, and also had a high dependency on manpower. In particular, in large-scale disaster situations such as forest fires, it was difficult to respond quickly, which inevitably led to the spread of damage and delayed recovery.

Efficient on-site response possible without a large workforce

CEO Choi Joo-yeol emphasized that efficient on-site response is now possible without a large workforce thanks to the mobile device-based real-time processing system. TreeAiD is a digital-based EMR system developed to solve these problems, which records tree conditions directly on-site via mobile devices and supports AI diagnosis and prescriptions. This automates repetitive administrative procedures and allows experts to focus on higher-level judgment and decision-making. It also increases administrative efficiency and enhances the concentration of experts on their original tasks by automatically generating documents according to the Korea Forest Service guidelines, such as diagnosis certificates, prescriptions, and reports.

The tree specialist who responded to the scene expressed satisfaction with the improvement in work efficiency, saying, “Work that used to take more than a day was completed in half a day.” Data obtained through the EMR system can also be used for post-analysis and prediction model building.

Greener Lab is developing a dedicated EMR platform for nationally designated protected trees and old trees. It plans to commercialize it in the second half of this year. In addition, it is conducting various demonstration projects such as urban tree management and coastal forest conservation in cooperation with some local governments in the Seoul and Gyeonggi areas.

Based on this achievement, the company has been recognized for its technological prowess by the government, including the ▲Korea Forest Service Award ▲Minister of Science and ICT Award (Young Entrepreneur Award) ▲Designation as an Eco-Startup by the Ministry of Environment and the Korea Environmental Industry & Technology Institute. Greener Lab plans to grow into a specialized company leading the domestic forest digital healthcare market by increasing the accuracy of tree diagnosis through future R&D and expanding collaboration with related organizations.