Overview The Korea Institute of Machinery, the Korea Institute of Science and Technology Information, and the Korea Electronics and Telecommunications Research have formed an autonomous research team to develop an autonomous agricultural machine that can monitor open-field fruit trees (apples) at all times and build an integrated service platform that can predict and predict the occurrence of diseases and pests based on big data for communities that have become absolutely short due to the decline and aging of the agricultural population. Key research content The Field Self-Prediction Convergence Research Group was launched to develop a service platform that allows autonomous agricultural machinery not only to monitor diseases and diseases at all times in field fruits (apples) but also to predict and predict the occurrence of diseases and diseases based on big data. ▲Developed four technologies, including an early pest detection system ▲control big data integration and service ▲platform standard for smart control ▲ farm crop monitoring autonomous agricultural machinery. - Early Pest Detection System: ∙ The early detection system technology for pests is to develop a measurement module that can be mounted on an open-field agricultural autonomous driving machine by miniaturizing a large photometric system that can only be measured in the existing laboratory. ∙ It aims to build an integrated control system by applying a separate photometric system. - Control Big Data Integration and Services: ∙ Control big data integration and service technology is to make information on the open-field fruit tree environment big data by securing and linking various control-related data. ∙ Through this, we aim to develop a system that can support intelligent fruit tree monitoring and control prescriptions. - Platform Standards for Smart Control: ∙ The platform standard technology for smart control is to propose an edge cloud-based smart control platform standard suitable for facility horticulture, livestock, open fields, and fruit tree environments, which are currently a universal form of use of smart farms. ∙ Aim to develop and disseminate technologies leading data interfaces and protocol standards in the field. - Farm Crop Monitoring Autonomous Agricultural Machinery Technology : ∙ Farm crop monitoring autonomous agricultural machinery technology is to develop a hydrogen fuel cell-based driving platform equipped with a pest detector. ∙ Aimed to perform day/night autonomous work through the development of autonomous work system with driveable area identification and precision path tracking control technology.

1. Prototype Optical Module for Autonomous Field Scouting: An integrated UV-Induced Fluorescence (UVIF) and high-resolution RGB sensing system for precision crop monitoring 2. Time-Series Dataset and AI Analytics for Open-Field Apple Orchards: Precision object detection and condition assessment 3. IoT Sensor, Pest Control Big Data Platform 4. Standardization for Smart Pest and Disease Management Platform 5. Autonomous Orchard Monitoring Robot 6. Fuelcell Powerpack for Autonomous Orchard Monitoring Robot