Development of greenhouse leaf health monitoring system using MATLAB

Jarius, Cley Alexsius (2023) Development of greenhouse leaf health monitoring system using MATLAB. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The objective of this study was to design and implement a comprehensive monitoring system for a greenhouse environment. The system aimed to collect real-time data on various environmental parameters such as temperature, humidity, light intensity, and soil moisture. The data was captured using sensors strategically placed within the greenhouse and transmitted wirelessly to a central monitoring unit. The monitoring system utilized a microcontroller-based architecture, which allowed for efficient data collection and processing. A web-based interface was developed to visualize the collected data in real-time, enabling greenhouse operators to remotely monitor the environmental conditions and make informed decisions regarding the cultivation process. The implemented monitoring system demonstrated its effectiveness in providing accurate and timely information about the greenhouse environment. By continuously monitoring the key parameters, it facilitated proactive measures to optimize plant growth and yield. Moreover, the system incorporated alert mechanisms to notify users in the event of critical deviations from the desired environmental conditions, ensuring prompt action to prevent potential crop damage. The results obtained from the monitoring system indicated that it significantly contributed to improving the overall efficiency of greenhouse operations. It allowed for precise control of environmental factors, leading to enhanced crop quality and reduced resource wastage. Furthermore, the web-based interface provided a user-friendly platform for data visualization and analysis, empowering greenhouse operators with valuable insights into the cultivation process. In conclusion, the developed monitoring system proved to be an invaluable tool in optimizing greenhouse management. Its ability to collect and analyze real-time data on environmental parameters facilitated informed decision-making and enabled timely interventions. The system's user-friendly interface and reliable performance make it a promising solution for greenhouse operators seeking to enhance their productivity and sustainability.

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