MEG - Hydroponic Greenhouse

Filippo Aiello

Filippo Aiello

Milan, Lombardy

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  • 0 Collaborators

MEG is a greenhouse that allows complete control over the key elements for successfully growing plants, such as light-cycles (wavelengths, intensity, duration), ventilation, temperature, irrigation and soil PH. All the aspects regarding this hydroponic greenhouse are monitored and controllable remotely using a web dashboard. MEG is a greenhouse that allows complete control over the key elements for successfully growing plants, such as light-cycles (wavelengths, intensity, duration), ventilation, temperature, irrigation and soil PH. All the aspects regarding this hydroponic greenhouse are monitored and controllable remotely using a web dashboard. ...learn more

Project status: Under Development

Internet of Things, Artificial Intelligence

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Overview / Usage

MEG is a greenhouse that allows complete control over the key elements for successfully growing plants, such as light-cycles (wavelengths, intensity, duration), ventilation, temperature, irrigation and soil PH. All the aspects regarding this hydroponic greenhouse are monitored and controllable remotely using a web dashboard.

MEG allows any plant to be grown following a “recipe” containing all the parameters for its settings during day or night for the growing periods of the year. These recipes can be shared among the users for their improvement.

Methodology / Approach

The user can access a we dashboard to change the setting of the greenhouse to replicate the best enviromental conditions (light spectrum, temperature, humidity and nutrients) to grow any kind of plant. In addition, the integrated sensors allow the user to monitor the entire system over time.
The idea is to use Oper CV to analyze the collected photos during the plants growing and to use the machine learning to improve the recipes contaning all the parameters.

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