[INQ. NO. 2408E13] POMIT Co., Ltd. is an IT company that develops plant ICT solutions, and builds and consults on digital twins, industrial metaverses, and XR content.
Since its establishment in 2004, POMIT has maintained continuous technological growth in the ICT sector of the plant industry, and has thus developed PRACTISE FARM, a smart farm operation solution that observes the growth environment of crops, and manages them in optimal conditions without time and factory constraints.

Digital Twin-based Smart Farm Operation Management Solution (PRACTISE FARM)
PRACTISE FARM is a digital twin-based smart farm operation management solution that links and visualizes real-time data by applying Asset Administration Shell (AAS) technology.

PRACTISE FARM is a smart farm solution that digitalizes the production system through AAS technology, a key element of digital-twin implementation, and efficiently applies digital-twin technology to exchange data between different models and assets.
PRACTISE FARM can manage and check the data (temperature, humidity, illumination, CO2, nutrient solution, ventilation/air conditioning, growth status, CCTV) of farms linked based on the same 3D model as the actual farm.
In addition, PRACTISE FARM manages the electric energy and water-capacity required for smart-farm operation, check the growth status of crops, check for any abnormalities in installed equipment, and check the cultivation facility and environmental facility information. It also checks usage status, utilization rate, and maintenance history, and thus carrying out efficient production planning and performance management.
This solution provides and searches the target crop name and target management number, making it easy to manage and operate the farm status. It also provides crop-growth dates and production volume by cycle, data on the person(s) in charge, and a growth log creation and confirmation function, making it convenient to check and manage the production history of crops.
Users can manage the growth status of crops to the optimal state through crop location and environmental information to increase productivity.

 
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