Industrial Greenhouse Monitoring and Forecasting System

In this paper, the way to create and implement a system that uses machine learning elements to monitor environmental conditions in a greenhouse is presented. The system includes a sensor block, a control block and a power block. The hardware component includes light, humidity and temperature sensors, Li-Ion battery and a special USB charging circuit. The Raspberry Pi system manages all these functions, and the data collected by the sensors will be taken by the system and stored in a database. The data will then be used to train an algorithm based on automatic learning for the automatic adjustments of the greenhouse. Therefore, the greenhouse can be controlled automatically, and the user will be notified by a remote e-mail alert system if certain limits are exceeded.