Thanks to the use of machine learning algorithms and neural networks, it is possible to optimize environmental and nutritional conditions in real time, while ensuring consistent quality and repeatability of the cannabis plant’s active ingredients.

– Main Functions of AI in Hydroponic Systems

The implementation of artificial intelligence allows for the automatic monitoring and adjustment of important variables such as temperature, humidity, CO₂ concentration, light intensity and spectrum (PPFD), as well as the pH and EC of the nutrient solution. AI-supported systems analyze data collected by sensors and act predictively to maintain optimal growing conditions.

– Benefits for pharmaceutical cultivation

The application of AI in hydroponic modules allows for high growth uniformity, improved cannabinoid and terpene quality, a significant reduction in water and fertilizer consumption, and complete process traceability. These aspects are essential for compliance with GMP and GACP regulations.

– Architettura operativa del sistema idroponico AI

Sensors → IoT Gateway → Local AI Module → GMP Cloud → Actuators (LEDs, pumps, fans)

L’IA riceve dati in tempo reale, genera previsioni, regola i parametri e registra ogni intervento in un sistema tracciabile e validabile.