BIG-DATA BASED SMART CONTROLLING METHOD FOR ENHANCING GRAFT-TAKE AND THE PLANT FACTORY SYSTEM

摘要

The plant factory system according to the present invention is a monitor unit for monitoring the growth environment of the plant seedlings, the sliding environment control unit for adjusting the sliding environment of the plant seedlings, the sliding environment change time corresponding to the type of plant seedlings, before and after the change point And a storage unit for storing the sliding environment data including at least one environmental control pattern among light quantity and humidity before and after the change point, and a controller controlling the sliding environment controller based on the sliding environment data. As a result, it is possible to improve the efficiency of plant factories by optimizing the planting environment such as grafting seedlings and cutting seedlings during the rooting period, and to establish big data related to the optimal environment for the period of rooting. By having a mechanism that can ensure the reliability of the humidity information most important to the environment, it is possible to more precisely control the active environment.