Journal of Engineering Design and

Computational Science

Open Access Peer Reviewed International Journal

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ISSN : 2583-5165

A Peer Reviewed/Referred

Open Access Journal

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HydroBuild- Home Assistant based Real-time Hydroponics System


Author(s)
Nikhil Patil Siddharth Borgave Om Sapkal Dr. Rahul Mapari Prof. Kishor Bhangale
Abstract
To improve the growth of the plants and to make indoor farming more sustainable, the project will involve the development of a next-generation hydroponic system where facilities provided by recent technologies like IoT, Home Assistant, and AI/ML have been exploited. The system makes use of sensors to measure critical parameters such as temperature, humidity, and pH levels. It receives real-time data from such sensors and uses them to autonomously modify fertilizer supply and environmental settings to maintain optimal health for the plants. Another interesting feature of this technology is that cameras are used to record live footage of the plants as they develop. AI/ML tools research the movies for any variables, including leaf size and the overall health of the plant. This allows for easier identification of possible problems early on to prevent changes having an ef ect on the plants. Besides, the device self-controls pH levels; that is to say, plants receive the perfect amount of nutrients. Such detailed observation and automatic control reduce the need to intervene humanly and saves resources. What's more, it keeps the humidity and temperature steady, the latter which is also very necessary for plants to grow robustly.