Design of a smart photovoltaic greenhouse with plant growth based Monitoring System

Abstract

Monitoring the growth of the plants with the help of disease detection in the greenhouse through image processing is an effective process in agriculture development. The monitoring procedure offers important information about plant health through percentages of the tomato leaf diseases. Also, tracking and balancing the internal environment of the greenhouse for better production employs sensor technologies to continuously monitor key environmental parameters such as temperature, humidity, light intensity, darkness, etc. Real-time data from sensors for temperature, humidity, light, and soil moisture enable accurate environmental control and show the data within the greenhouse at the same time. This research project combines a camera-based monitoring system with a wide range of sensors to guarantee the best scenarios for plant health status. In addition, to reduce dependency on electricity, solar system installation would be a helpful part of this project to make a hybrid energy system. Consequently, our research is utilized to establish a communication system among the components.

Description

Cataloged from the PDF version of the final year design project.
Includes bibliographical references (page 88-91).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.

Keywords

Greenhouse, Image-processing, Plant health, Monitoring, Plant leaves, Plant disease

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