Automated Monitoring and Control System for Greenhouses Using Modern Speech Processing Through Mathematical-Based Methods

This paper aims to provide an automation system for remote monitoring and control of strategically located actuators in a prototype hydroponic greenhouse using voice command recognition. The concept combines the use of the Rosenberg Model and the Fourier Transform for linear signal processing in discrete time with applied mathematical methods for voice signal filtering. The mathematical model required for the analysis and capture of the speech spectrum was developed in MATLAB. In addition, a system with temperature, humidity, heat index, illumination and level sensors is incorporated to send information to the user through an Arduino Mega with a Bluetooth HC-06 module as a communication protocol for the control and monitoring of the environmental parameters that indicate in the greenhouse. The article concludes by proposing a development of a mobile application for communication between the user and the prototype with the possibility of generating records for the evolution of environmental parameters over time.