Smart IOT based Indoor Farming Analysis and Monitoring using Fuzzy logic Expert systems

Abstract

This project presents the design of smart IOT based indoor farming analysis and monitoring using fuzzy logic techniques. Since climatic parameters of indoor farming are dependent on each other therefore, it is bit difficult to control them for this reason a system is designed which will monitor and analyse all the parameters on the basis of fuzzy logic algorithm. The main purpose of designed system is to monitor and to control parameters with the help of actuators present in the system to produce special quality vegetables at a faster rate and by revoking the necessity of the arduous activities generally associated with farming. Apart from that, remote monitoring and controlling of the artificial environment to eliminate the dependency on the natural habitat to ensure year-round availability of all plants and vegetables is one of the main objectives of this project. Environmental factors included air temperature, air humidity, illumination, soil moisture, and CO2 concentration. The sensor layer is IOT based consisting of Soil Moisture Sensor, Humidity and Temperature Sensor and LDR sensor. The whole system was identified on an application with a static IP and a domain name. The recorded temperature and humidity are stored in a cloud database (ThingSpeak), and the results are displayed in a webpage, from where the user can view them directly. So this project is to implement the automation in Farming system, where it increases the efficiency in farming effective water irrigation, motion monitor around the indoor field and fertility of soil.