Machine Learning for indoor farming

Artificial Intelligence (AI), as you may already know, is the simulation of intelligence by machines. If this is a new topic for you, don’t worry, we will talk more about the specifics of AI in a moment. For now, know that this ‘intelligence’ is revolutionizing farming

It is not an overstatement that farming as we know it is being redefined. I know that for most of us when we hear farming, the picture we have in our head is Old McDonald in his overalls driving around acres of land on a tractor. However, this probably will not be the picture our grandkids will have. Indoor farming has become increasingly viable and popular in the last decade, due to significant advancements in indoor growing technology.
If you don’t know, indoor farming is precisely as it sounds- farming indoors. There are many reasons for wanting to farm indoors, but the main one is control.
 By farming indoors, you gain the ability to control a plant’s growing environment. Consequently, you can control pretty much anything you have the money to measure: light, temperature, CO2 levels, nutrients, water, airflow, etc. This control brings significant benefits like higher crop yields, faster maturation, and reduced water consumption, all in a smaller footprint.