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3747184

EVE Clever (AI decision-making-based agricultural automatic harvesting robot)

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EVE Clever is a next-generation smart agriculture automation solution developed by Sungho SI Corporation. It is an AI decision-making-based agricultural harvesting robot designed to address issues related to an aging population and labor shortages. This intelligent, multifunctional agricultural machine integrates cutting-edge technologies such as image-based crop growth analysis, AI decision-making algorithms, robotic arm control, autonomous driving platforms, and cloud-connected data recording systems.

While conventional harvesting robots simply recognize fruit and mechanically harvest it, EVE Clever comprehensively analyzes crop growth and condition, determines whether harvesting is appropriate, and then carries out harvesting at the optimal time and location. This active decision-making ability helps prevent inefficient or unnecessary harvesting and significantly improves the quality of the harvest.

EVE Clever uses a high-precision Realsense sensor camera to collect video data on crop growth conditions. It then employs AI algorithms to analyze growth metrics in real-time, including leaf length and width, plant height, growth points, and the size and color of fruit. Using object detection and image segmentation technologies, it identifies only fully ripened fruit for harvesting. It also analyzes diseases, pests, runners, and other growth-inhibiting factors. All analytical data is processed by the robot’s internal AI controller, enabling the robotic arm to move to the proper position, harvest fruit without damage, and place it safely in a collection basket.

The robot navigates via an autonomous AGV platform optimized for narrow high-bed greenhouse structures, incorporating obstacle avoidance and precision control technologies. It is also designed to be adaptable to rail-type or track-type platforms for future use in open-field environments, allowing it to be flexibly applied across various farming conditions and layouts.

EVE Clever offers more than just harvesting functionality. It includes a digital agriculture notebook feature that stores growth, environmental, weather, and nutrient data in real time via cloud integration. This allows farm operators to remotely monitor farm conditions, control the robot, and use the accumulated data for strategic agricultural management or R&D.

Technologically, EVE Clever is a product that combines proprietary innovations such as AI-based object recognition (YOLO-based), automated harvest control logic, multi-joint robotic arm operation, real-time decision-making using edge computing, and a cloud-connected platform. All of these technologies have been developed in-house or secured through technology transfer and are manufactured through domestic production lines. The integrated solution of image-based crop analysis and harvest decision algorithms distinguishes EVE Clever from similar domestic and international products.

EVE Clever can be applied to major fruit and vegetable crops such as strawberries, tomatoes, cucumbers, and bell peppers. It is already being introduced in smart farm test beds, pilot farms, public testing institutions, and agricultural education centers. Thanks to its flexible structural design, it can also be deployed in open-field farms and export-oriented high-temperature greenhouses in the future. It has already completed pilot programs at domestic smart farm innovation valleys and glass greenhouse test sites and has attracted significant attention from domestic and international buyers and institutions at global exhibitions such as CES, MWC, IFA, and J-Agri Tokyo.

EVE Clever is a product equipped with the technology to realize "intelligent harvest automation" demanded by the era of advanced smart agriculture. It offers real value to farmers through reduced harvesting labor, increased productivity, improved farm management efficiency, and the accumulation and utilization of crop data. Furthermore, the product has potential to expand beyond a simple piece of equipment into a data-driven agricultural platform. With integration of future features such as weather/environment-based irrigation automation, disease prediction, growth modeling, and yield forecasting, it has the potential to evolve into a comprehensive smart farming system.

With its technological capabilities and superior structural design, EVE Clever is set to expand not only in Korea but also into high-demand smart agriculture markets in the Middle East, Southeast Asia, and Europe. In particular, for countries where food security and labor shortages are urgent issues, EVE Clever is expected to serve as a strategic entry point into smart agriculture.
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Product Summary

EVE Clever is an intelligent agricultural robot that uses AI-based image analysis technology to assess crop growth conditions and automatically perform harvesting at the optimal time. This equipment was developed to address labor shortages on farms while simultaneously improving the precision and efficiency of crop harvesting. Above all, one of EVE Clever’s core competitive advantages lies in its modular, customizable gripper technology, which enables precise adaptation to the characteristics of various crops.

EVE Clever combines a phenomics-based AI decision-making system with high-resolution RGB + Depth sensors (e.g., Intel Realsense) to collect real-time growth data such as leaf length and width, plant height, growth points, fruit location, size, and color. The collected image data is analyzed using a proprietary YOLO v12-based deep learning algorithm and a LightGBM model to assess fruit ripeness and make harvesting decisions.

Based on this decision, a 6-axis collaborative robot (multi-joint robotic arm) operates and uses the selected gripper to automatically harvest the crop. The grippers available for EVE Clever are structurally designed to be custom-made depending on the crop's growing environment, biological structure, and harvesting method. The primary types include.

[1] Cutting-Type Gripper
The most common type, suitable for crops that separate from the stem such as strawberries, cucumbers, bell peppers, and tomatoes.
Structure : Electric or hydraulic cutting blade + vacuum suction or small support bracket
Features : Supports the fruit securely after stem cutting and transfers it to a basket; consistent cutting surface; minimizes crop damage; precise operation even with ±3mm positional error.

[2] Suction-Type Gripper
Suitable for fruits with delicate or soft surfaces, such as tomatoes and peaches.
Structure : Vacuum suction cup + flexible cushioning pad
Features : Non-cutting method that harvests the entire fruit via suction; prevents fruit detachment through support and robotic arm control; protects delicate fruit with soft materials.

[3] Clamping (Positioning Support) Gripper
Designed for round, large fruits or crops with short stems.
Structure : Side-grip clamps + rotating or cutting modules
Features : Grips fruit from both sides, cuts from below; stable handling with weight distribution; applicable to asymmetrical fruits or branching crops.

[4] Hybrid Multifunctional Gripper
Under development for multi-tasking beyond harvesting, such as runner removal, sucker trimming, and disease symptom management.
Structure : Integrated cutting + suction + rotating axis module
Features : Automatically switches operation mode based on AI decisions; handles growth-interfering factors and harvesting simultaneously; future upgrades to include sprayer and recognition sensors.

With its flexible hardware structure, EVE Clever can integrate various functions and components into a single robotic platform, enabling optimal harvesting performance based on crop type and farming environment. It supports a variety of mobility formats—autonomous AGV, stationary, or rail-based—allowing it to operate across indoor high-bed systems, vertical smart farms, hydroponic modules, and even open-field conditions.

Cloud integration enables harvesting history tracking, crop yield analysis, and growth trend accumulation. The system is also under development for future linkage with automated water/nutrient control, pest/disease prediction, and history-based automated crop protection.

EVE Clever is classified under HS Code 8433.59-0000 and has received positive responses at global exhibitions such as CES, MWC, and J-AGRI Tokyo. It is currently undergoing demonstrations and partnership discussions in countries including Japan, Germany, and Indonesia.

More than just a harvesting automation machine, EVE Clever is a customized smart farm solution that integrates AI-based agricultural decision-making with robotic hardware. Through its crop- and environment-optimized gripper system, it represents a next-generation agricultural innovation technology that realizes full automation in farming.

Detailed Description

1. Product Overview

EVE & EVE Clever are smart farm automation solutions composed of an image-based crop growth information measurement system and an automated harvesting robot utilizing that data. These systems measure and analyze crop growth conditions in real-time, determine the optimal harvest timing through AI decision-making, and then carry out the harvest autonomously using a robot. With an integrated workflow—from growth diagnostics to decision-making, automated harvesting, and cloud connectivity—this solution maximizes productivity and efficiency in smart farming.

 

2. Key Components & Features

① Growth Measurement System (EVE)

- Image-Based Precision Measurement : Real-time measurement of growth indicators such as leaf length, leaf width, plant height, and growth points using Depth + RGB cameras

- Data Transmission & Analysis : Captured image data is stored in the cloud and analyzed using AI-based growth algorithms

- Analyzed Plant Parts : Leaves (leaf length, leaf width, leaf count), stems (growth point, crown diameter, plant height), inflorescences and fruits (fruit length, width, etc.)

- Integrated Environmental Monitoring : Considers greenhouse sensor and weather data to comprehensively assess growth-impacting factors

 

② Automated Harvesting Robot (EVE Clever)

- AI Decision-Making Algorithm : YOLO v12 and LightGBM-based object detection and harvest timing determination

- 6-Axis Collaborative Robotic Arm : Enables precise control according to crop location

- Grippers (End Effectors) : Custom harvesting tools for each crop type (cutting, suction, clamp types, etc.)

- Mobility Platform (AMR) : Structural configurations adaptable to indoor high-bed farms, rail systems, or open fields

- Cloud Integration : Harvest and growth analysis results are stored on a server and managed via web application

- Additional Features : Automatic detection and management of runners, suckers, and plant disease factors

 

3. Hardware Specifications

 

- Dimensions : 1,400mm (max height) × 530mm (width) × 650mm (length)

- Weight : Approx. 70kg

- Maximum Payload : 100kg

- Battery Operating Time : Up to 5 hours

- Standby Time : Up to 40 hours

- Charging Power : AC 220V / DC 25.2V 5A

 

4. Software Specifications

- Web application-based dashboard

- Cloud backup and crop yield history management

- Integrated analysis of greenhouse sensor data, external weather API, and growth images

- Crop-specific analysis and algorithm-based model retraining support

- AI-based decision-making and robotic control automation

 

5. Main Applications

- Smart hydroponics for facility-grown vegetables like strawberries, tomatoes, and bell peppers on high-bed structures

- Automated harvesting in open-field or greenhouse-based organic farms

- Crop growth R&D at national research institutions or smart farm test beds

- Elderly farming regions or export-focused farms in need of automated harvesting solutions

 

6. Expected Benefits & Differentiation

- Reduces labor demand and maximizes harvest efficiency

- Enables precision agriculture through AI-based growth analysis

- Flexible customization for various crops and growing environments

- Integrated cloud-based farm management using growth, environmental, and disease data

- High scalability for global markets as a sustainable agriculture and food security technology

 

7. Product Classification

- HS Code : 8433.59-0000

- Applied Technologies : Agricultural robotics, AI image analysis, IoT environment control, precision phenomics analysis

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