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MEG - Micro Experimental Growing

Lead DesignersPiero Santoro
Prize(s)Silver in Sustainable Living/environmental Preservation / Residential Sustainable Design
Project LinkView
Entry Description

We hope to meet with Nature, halfway.
So we developed MEG - which stands for Micro Experimental Growing.

MEG is a LED based, open-source, automated, indoor greenhouse,
which allows you to precisely control all the key parameters for growing your plants, such as Light-cycles (wavelenghts, intensity, durations), Ventilation, Temperature, Irrigation, Soil PH.

Thanks to a dedicated online platform, to which it is directly connected, you can share or acquire the information about the efficacy of your settings over the plant's life cycle, thus contributing to the development of a shared knowledge accessible to anyone.

Thanks to a simple and intuitive interface, you can easily compile your own growing recipes or upload pro-users prepared ones inside MEG; you may do it via desktop or remotely, using devices such tablets or smartphones.

The embodied technology helps you to act more efficiently, while still experimenting with your growing performance; MEG fits easily in your domestic environment, only needing a power supply.

Since all the construction details will be Open Source, a worldwide community can also contribute to improve MEG's hardware and software, providing the driving force for acquiring knowledge and fine-tune the system.

It may become the first scientific collaborative system, putting the most innovative micro-growing technology and information in ones hands - aiming to improve our consciousness of Nature through Growing Automation.

As a major problem regarding MEG's place into the market, we see a diffused lack of Culture and Systems offering in the Micro-Growing discipline, in such a crucial hystorical period of time.

We believe in Micro-Growing and want to build since now an open system of Information and Hardware to meet the big change that, in a span of 5 years, will drastically change the Micro-Growing scenario.