Publication

Abstract : This paper presents the design, development, and implementation of a scalable Condition Monitoring System for controlled-environment greenhouse farming. To continuously monitor key environmental elements influencing crop growth, the system interfaces an ESP32 microprocessor with various sensors that measure temperature, water level, humidity, light intensity, and methane. The developed system prioritizes the selection of sturdy hardware parts that are specially made to endure the various circumstances found in a greenhouse. To guarantee ideal growing circumstances for crops, the gathered data can be displayed in the live IoT Blynk portal and possibly examined using the threshold values that have been established. The proposed technology provides real-time insights and data visualization into the greenhouse environment to improve agricultural productivity, yield, and resource efficiency. This project aids in outperforming conventional greenhouse systems in economic aspects by providing automation and real-time data insights for ideal plant growth. In terms of sustainable agriculture, this is a paradigm change that encourages resource optimization, decreased environmental impact, and maybe higher agricultural yields.