DESIGN AND IMPLEMENTATION OF AN IOT-ENABLED AUTOMATED VERTICAL FARMING SYSTEM.
Faculty
Department
Year of Publication
upload
Publication Type
Abstract
This project centres on the design and implementation of an IOT-enabled automated vertical
farming system. The end result is to create ideal conditions by controlling irrigation, temperature
and humidity. Investigate the needs of the plants and seek to maximize production with vertical
models, in addition to implementing an IoT interface to monitor the crop. The project introduces an IoT-enabled automated vertical farming system designed to address
critical challenges in agriculture, particularly food security and urbanization. As urban
populations continue to grow, traditional farming methods face geographical and resource
constraints. The system integrates Internet of Things (IoT) technology, employing sensors and
actuators to create an intelligent agricultural environment. Environmental sensors monitor
critical parameters including temperature, humidity, soil moisture, and light intensity, while
actuators automatically regulate irrigation, and climate control systems. The system enables
remote monitoring and control through a cloud-based platform, allowing farmers to manage
operations from anywhere via web or mobile interfaces. This automation optimizes resource and
energy utilization, maximizes crop yields in limited urban spaces, and reduces manual labor. By
combining vertical farming design with IoT capabilities, the system demonstrates a sustainable
solution for urban food production, contributing to food security, reducing energy consumption, improving scalability and flexibility, and contributing to the sustainable and efficient production
of food. while efficiently utilizing vertical space in densely populated areas. Although, challenges such as high initial investment costs and power dependency were noted
necessitating the integration of renewable energy sources (solar, inverters) for long-term
possibility.
farming system. The end result is to create ideal conditions by controlling irrigation, temperature
and humidity. Investigate the needs of the plants and seek to maximize production with vertical
models, in addition to implementing an IoT interface to monitor the crop. The project introduces an IoT-enabled automated vertical farming system designed to address
critical challenges in agriculture, particularly food security and urbanization. As urban
populations continue to grow, traditional farming methods face geographical and resource
constraints. The system integrates Internet of Things (IoT) technology, employing sensors and
actuators to create an intelligent agricultural environment. Environmental sensors monitor
critical parameters including temperature, humidity, soil moisture, and light intensity, while
actuators automatically regulate irrigation, and climate control systems. The system enables
remote monitoring and control through a cloud-based platform, allowing farmers to manage
operations from anywhere via web or mobile interfaces. This automation optimizes resource and
energy utilization, maximizes crop yields in limited urban spaces, and reduces manual labor. By
combining vertical farming design with IoT capabilities, the system demonstrates a sustainable
solution for urban food production, contributing to food security, reducing energy consumption, improving scalability and flexibility, and contributing to the sustainable and efficient production
of food. while efficiently utilizing vertical space in densely populated areas. Although, challenges such as high initial investment costs and power dependency were noted
necessitating the integration of renewable energy sources (solar, inverters) for long-term
possibility.
Supervisor(s)
co-supervisor