Data-Driven Labor Management Solution, Ation

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The Full Tech Value Chain
for Autonomous Greenhouse Production
ioCrops FTVC™

What do we need to build a fully autonomous greenhouse? From automated data collection and analysis, AI-powered cultivation decisions, optimized task and labor management, to unmanned operations via robotics—FTVC™ is ioCrops’ standardized AgTech stack designed to build a fully integrated and automated greenhouse production system.

Agricultural Automation Capability

At ioCrops, we are driving the realization of autonomous greenhouses through expertise in AI and robotics,

Streamlining the Production Process

ioCrops leverages AI, robotics, and data to streamline every stage of the agricultural production process.

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AgTech Stack : FTVC™

AI-DrivenGreenhouse Robots

HERMAI utilizes AI technologies such as autonomous driving, deep learning, and computer vision to automate agricultural tasks in greenhouses. Operating 24/7, it addresses labor issues and significantly enhances the efficiency of farm work. The robot is multipurpose and can perform scouting, spraying, transporting, and harvesting tasks with interchangeable upper modules.

Data-Driven
Labor Management Solution

Ation simplifies task logging by letting workers scan QR codes to record activities, locations, and timestamps—ensuring accurate, efficient work tracking. It provides a real-time dashboard plus tools for issue reporting, harvest management, and attendance tracking. Pilot trials showed up to 15% less idle labor and 8% higher yield per worker.

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IoT Sensor and Data Monitoring Solution

IoT sensors measure farm data and help develop optimal irrigation strategies. Data collected by these sensors is displayed on ioFarm. You can access this data anytime and anywhere via a smartphone or PC and integrate it with climate control system data for comprehensive analysis. By setting desired values, ranges, and alert times for each sensor measurement, you can monitor and respond to anomalies in real time.

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Data-driven Growing Solution

ioFarm's sensor network captures real-time key metrics to optimize irrigation timing and dosage for each crop zone. Through the ioFarm platform, growers receive actionable insights: Reduce irrigation waste by 10–20% with real-time crop-zone controls / Get alerted before stress with anomaly detection from environmental shifts / Forecast future irrigation demand using evapotranspiration modeling.

[ioCrops] 온실 관리자와 HERMAI

We drive AgTech innovation through
a cycle of farming and technology

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