management system for smart-farm machine learning

摘要

In the present invention, the smart farm management server analyzes the collected data measured from IoT sensors installed in the smart farm, which is the cultivation space, and generates control data to maintain the optimal environment and conditions corresponding to the current state, and at the same time By configuring the control units to supply the environment and materials according to the control data generated by the smart farm management server, it is possible not only to maximize the production and quality of crops, but also to reduce the manpower and time, and to manage the smart farm. Since the server is configured to analyze the collected data by category using machine learning algorithms specialized for each preset category, the accuracy and reliability of the control data output according to the current state can be increased, thereby further improving crop production and quality. The smart farm management server determines whether data loss/omission has occurred in the collected data transmitted from the controller, but when data loss/omission occurs, the collected data with the highest similarity among previously stored collected data is lost/missed. It relates to an intelligent smart farm operating system that can continuously provide stable services even if data loss/omission occurs due to temporary load and crash by replacing it with data.