Green Computing aims to create a scalable and automated agricultural system that could be used both from professionals and hobbyists in any kind of cultivation (in soil or hydroponic), with the final purpose of optimizing the yield, while minimizing the usage of water and fertilizers, user intervention and possible errors for the duration of the entire crop cycle.
Our technology may be divided for simplicity in 4 main macro-components, which may also act as independent modules: sensors, mixer, microThe sensors module is the basis, thanks to it we are able to acquire the necessary data to give the grower the first advices (need to water, too much water, sun exposure and weather forecast if outdoors), the data are also stored on a on-line server, where they will be processed by machine learning algorithms that will be able to make calculations predictive of the future of the crop.
The second module, the mixer, is the key to the true automation of our system. By monitoring the water at ...
Green Computing aims to create a scalable and automated agricultural system that could be used both from professionals and hobbyists in any kind of cultivation (in soil or hydroponic), with the final purpose of optimizing the yield, while minimizing the usage of water and fertilizers, user intervention and possible errors for the duration of the entire crop cycle.
Our technology may be divided for simplicity in 4 main macro-components, which may also act as independent modules: sensors, mixer, microThe sensors module is the basis, thanks to it we are able to acquire the necessary data to give the grower the first advices (need to water, too much water, sun exposure and weather forecast if outdoors), the data are also stored on a on-line server, where they will be processed by machine learning algorithms that will be able to make calculations predictive of the future of the crop.
The second module, the mixer, is the key to the true automation of our system. By monitoring the water at the source, it will be able to measure the ph and ec of the flow and correct these parameters thanks to the nutrient and ph- reservoirs. By working together with the sensor module, it will be able to maintain the optimal level of nutrients (whether it is soil or hydroponics). We believe that this technology can be patented, given its uniqueness in how it can measure ec and ph without having to periodically recalibrate those sensors.
The third module, designed by us, is the microclimate. This module is a bit particular compared to the other two because, according to the scale of application, it will be structurally different (for small crops and balconies we thought of creating a modular panel system while for large surfaces we would use prefabricated greenhouses). This module will be able to guarantee the ideal temperature for the harvest, thanks to the adaptive ventilation system based on the internal temperature recorded by the sensors. It is also essential to ensure a screen from pests that attack crops, such as aphids, whiteflies, caterpillars, spider mites, etc.
The last module we have devised, for the moment, is the light cycles. Dependent on the microclimate module, it consists of two parts: lights and shutters. Thanks to this module, it will no longer be necessary to follow the seasonal light cycles, but it will be possible to stagger the crops at will. In the shutters we thought of integrating a system to clean the windows, so as to keep efficiency always at the top.
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Edoardo Amico
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Edoardo Amico CEO I am a graduate student in Management of Innovation at the Unimi faculty of Economics