I visualize POWAR as a machine that could replicate different climatic characteristics like light, temperature and rain in its interior, and replicate different weathers around the globe, to experiment about how the plants that we grow nowadays will grow with our future predicted weather for 2050.
This will work as a plant observatory, in which 3 different simulations will be compared, changing only one variable at a time to detect which are the optimum conditions for each plants to grow, and generate a database that will in the future feed a machine learning system that could optimice the way we grow plants.
The variables that can be changed inside are:
- Temperature (Cold and Hot)
- Humidity / Rain
- Sunlight
This will work as a plant observatory, in which 3 different simulations will be compared, changing only one variable at a time, to detect which plant grows better than the other and with this it will generate a database that will help optimize it´s future cultive.
FALTA COMPLETAR LISTA DE SEMANAS
FALTA COMPLETAR LISTA DE SEMANAS
FALTA COMPLETAR LISTA DE SEMANAS
FALTA COMPLETAR LISTA DE SEMANAS
FALTA COMPLETAR LISTA DE SEMANAS
FALTA COMPLETAR LISTA DE SEMANAS
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