Intelligent Plant Monitoring System Via IoT and Fuzzy System

Abstract

Artificial Intelligence (AI) is widely utilized in Information Technology (IT), banking, business and agriculture such as for the application of regulating and monitoring in plant nursery. Even though the conventional method is still being used to monitor the plant by physically checking the soil moisture and watering the plant, the quality and productivity of plant development is still less effective. Therefore, this project seeks to deploy the artificial intelligence application to automate plant monitoring and smart gardening to reduce the manual effort and to increase the performance of the system with less contact by the user. The use of Internet of Things (IoT) is utilized for managing and monitoring the three input parameters of plant which are temperature, humidity and soil moisture using mobile application. Node- MCU ESP32 is used to communicate the data from the sensors to the mobile application through Blynk and ThingSpeak. The systems will monitor the water usage computed by Fuzzy Logic System and record all the input and output data for subsequent study. The performance comparison between different plant species such as Bougainvillea and Mary Gold plant will be investigated. Finally, the contribution of this research could answer many challenges occurring in the existing farming systems as well as to boost the production of agriculture sector.