Collaborative Community for the Growing Industry
data collection and recipe variables
By collecting and aggregating the automated garden’s data, a grow recipe can be tweaked and shared with a community..
A grow recipe incorporates the variables required to grow a specific plant. Some of the variables that would be included:
Unique Opportunities
There are several applications that already use automated greenhouse technology.
There is no need to re-invent these systems for what they are designed to do, which is mostly grow lettuce, tomatoes and other hydroponic favored varieties. Hydroponics is the easiest method to get Organic Certified, and is the most common method for large scale food production, which enables food to stay more fresh longer, thus spending a longer time in the supply chain.
What is needed is a safe, secure, affordable, and consistent way to log / interact with the greenhouse data that is produced from the length of the food’s production.
The next generation of automated greenhousing
We Grow Live has created an automated greenhouse that can be monitored and controlled in real time.
Capturing the data from the grow operation and having the output(s) analyzed by a cognitive computing system will build a foundation for machine learning.
This will allow for optimal nutritional value and maximum plant growth.
This information can also be used to create a predictive growth chart for future growing projects.
The system’s scalability is key in providing personal as well as commercial applications for automated gardening.
Building a customized set of different sized gardens for home and commercial use:
