In 2017, Grow Director launched its first sensor, an all-in-one controller for home growers. While effective, it wasn't ideal for larger-scale farming. The second version was sturdier but lacked something. With the third, they cracked the code but sought further improvement. Now, Grow Director is set to unveil its latest features: a grow book for growers and true self-learning AI.
According to Noam Dekel, an agronomist at Grow Director, many industry "AI" systems are just advanced chatbots. True AI, he explains, learns. "We're creating real AI, not just algorithms. It's a self-learning system with data, analysis, and client feedback," says Noam.
Like other sensors, Grow Directors send data to the cloud, giving growers real-time updates on their greenhouse conditions. But it goes further. It also uses climate satellite data to forecast weather up to two weeks ahead, adjusting the environment accordingly. For instance, if a heatwave is predicted, it proactively adapts to the conditions.
"Grow Director is also training the system to identify diseases like downy mildew, powdery mildew, and fungi. By predicting when and where these will appear with up to 90% accuracy, it can preemptively adjust conditions," explains Noam.
Despite these AI advancements, Grow Director's new system involves growers, who use the Growbook, an operational diary, to log everything in their greenhouse. This helps improve cultivation methods. "The learning curve is important with AI. It's like a very smart child. The more it learns, the better it understands your knowledge and its own," adds Noam.
In essence, Grow Director's AI is like a new, smart grower, learning and improving with each cycle.
ai paper checker
greenhouse gas emissions by source
agricultural technology examples