AI in greenhouses: how smart controllers are boosting yields by 40%

One of the most significant trends in agritech over recent years is the use of artificial intelligence for greenhouse climate management. A 2026 study from Wageningen University in the Netherlands found that AI-based systems increased yields by an average of 40% compared to traditional methods. These systems analyze real-time data on temperature, humidity, CO₂ levels, and lighting from hundreds of sensors. Unlike conventional thermostats, the AI algorithm predicts climate changes in advance and makes adjustments before problems arise - for example, it begins ramping up heating intensity 30 minutes before a nighttime temperature drop. Israeli startup Phytech ran an 18-month pilot project across 12 greenhouses in the Netherlands. Results showed a 25% reduction in energy costs, a 30% decrease in water consumption, and product quality consistency reaching 92% - compared to 71% under traditional management. The energy optimization aspect is particularly interesting. AI systems dynamically manage peak and off-peak loads. During nighttime hours when electricity is cheaper, the system heats the greenhouse intensively; during peak daytime hours, it minimizes consumption to cut costs. For small and mid-sized growers, cost remains a barrier - full AI system installation runs from €15,000 to €25,000 per hectare. However, SaaS-model companies like the Dutch firm 30MHz and Israel's Prospera offer monthly subscription services that minimize upfront investment. Experts predict that by 2028, 60% of European greenhouses will use some form of AI technology. This is especially relevant for the cannabis industry, where climate stability directly affects cannabinoid profiles and overall harvest quality.