The article analyzes intelligent control systems used in the process of growing fodder crops by the hydroponic method. The structure and functioning principles of intelligent algorithms are discussed, which automatically regulate the amount of water and nutrients while optimizing temperature, humidity, and lighting to increase crop yield. The advantages and challenges of modern hydroponic systems based on artificial intelligence, sensor networks, and information and communication technologies are highlighted. Special attention is given to the use of neural networks and cloud computing technologies for data processing. The obtained results contribute to improving the efficiency of implementing intelligent control systems in hydroponic complexes.