

After all, when most people think AI, they think of Skynet from the Terminator series. AI is a lot simpler than you might first think.
What is Artificial Intelligence (AI)?
AI is just sophisticated software, ultimately. And artificial intelligence does not necessarily need to have predetermined logic. Using artificial intelligence, companies are building sophisticated software that can actually learn by finding patterns and associations in data – since data is essentially a lot of information, computers are ideal for identifying patterns.
Once the AI software learns the patterns, you can provide the AI with new information and ask it, “what do you think will happen under these circumstances?” and the AI tool will offer a prediction and give you its estimated degree of accuracy, which is higher the more training data it has to work with.
No Need for Robots, but Just as Smart


As made apparent by the name “Machine Learning”, so greenhouse technology does learn and gets more and more accurate as it gets more data sets to work with following each harvest cycle.
For instance, clients have witnessed a 50% to 70% reduction in error for harvest forecasts from the start; following a year of further learning, AI technology can reduce errors by more than 70%.
The AI technology will also become more accurate in predicting harvest yields weeks into the future. AI tools for greenhouses get better and better over time so it’s a smart investment if you want your money to go the extra mile.
Harvest Forecasts for Greenhouses


But nothing’s stopping a computer from examining all of these factors at once. AI is able to simultaneously analyze all of these growth factors, providing highly accurate assessments of cannabis plant growth. This is why AI works so well for making estimates of future harvests.
AI is better at estimating harvest yields than expert agronomists, which allows you to automate this task so that your Head Greenhouse Cannabis Growers and agronomists can focus their time on other important issues that a computer may not be able to solve.
On average, agronomists free up over a day of time they otherwise spent doing harvest forecasts. Best of all, the technology requires no radical changes to your business.
There’s another hidden advantage to machine learning. Machines don’t rely on intuition at all, just looking at what works and what doesn’t. Sometimes computers will notice correlations between sets of data that humans would otherwise miss.
Let us know what you think.



