Our idea is developing an algorithm, which will eventually be developed in a commercial software tool that will be used by Vertical Farms (VF) to help them reduce their electrical energy demand sourcing from lighting expenses, which numbers around 60% of the total electricity that is consumed in the production line of VF (40% of the total production cost). In order to make VF more efficient, we design this algorithm by combining our knowledge in plants’ morphogenesis and the energy market, we can provide an advanced model that can selectively deliver energy in the cultivation area based on the electricity price and plants’ demand for their optimal photosynthetic rate. The case plant that we collect our data for the development of the algorithm is basil, one of the most frequently cultivated species in VF. A preliminary estimation of 20-25% less energy cost to the farmer by the use of our algorithm is estimated based on the experiments is small-scale installations of vertical farms....
Our idea is developing an algorithm, which will eventually be developed in a commercial software tool that will be used by Vertical Farms (VF) to help them reduce their electrical energy demand sourcing from lighting expenses, which numbers around 60% of the total electricity that is consumed in the production line of VF (40% of the total production cost). In order to make VF more efficient, we design this algorithm by combining our knowledge in plants’ morphogenesis and the energy market, we can provide an advanced model that can selectively deliver energy in the cultivation area based on the electricity price and plants’ demand for their optimal photosynthetic rate. The case plant that we collect our data for the development of the algorithm is basil, one of the most frequently cultivated species in VF. A preliminary estimation of 20-25% less energy cost to the farmer by the use of our algorithm is estimated based on the experiments is small-scale installations of vertical farms.

Based on this service we can foresee and organise the energy consumption of VF based on dynamic pricing. Furthermore, we combine our data of plants’ development and energy requirements for photosynthesis and biomass production in order to maintain the optimal yield but simultaneously with the least possible cost . Our goal is to define the inertia point of plants in which they continue grow in the optimal capacity with the least possible energy cost.
Our moto is DO MORE WITH LESS
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Investors

EIT Food Seedbed 2020
Admin
EIT Food Seedbed 2020 The funds, network and skills to validate your agrifood business model
EIT Food Seedbed 2020
Admin
EIT Food Seedbed 2020 The funds, network and skills to validate your agrifood business model

Employees

Dafni Augoustaki
Admin
Dafni Augoustaki CEO I am a PhD student and I combine my background in agriculture and engineering in order to develop sustainable techniques for indoor farming