One of the most challenging things about indoor farming is controlling the growing environment. In outdoor farming, plants are exposed to a wide range of environmental factors, such as sunlight, rain, wind, and temperature, which can vary significantly over time. In contrast, indoor farming takes place in a controlled environment, such as a greenhouse or a vertical farm, where the growing conditions can be carefully managed.
This can be challenging because plants have specific requirements for light, temperature, moisture, and other factors in order to thrive. In an outdoor environment, these requirements are met naturally, but in an indoor environment, they must be provided artificially. This requires careful planning and the use of specialized equipment, such as lighting systems, heating and cooling systems, and irrigation systems.
Maintaining the appropriate growing conditions in an indoor farm can be difficult and expensive, and it requires a high level of expertise and attention to detail. Additionally, indoor farms are often located in urban areas, where space is limited and there may be constraints on the types of equipment and materials that can be used.
Overall, controlling the growing environment is one of the biggest challenges of indoor farming, and it requires a combination of technical expertise, planning, and resources.
On part 2 of this blog post, we will go over how AI driven automation can help in controlling the growing environment.