The production of a pumpkin patch is a complex process influenced by various factors. Deep learning, a subset of machine learning, offers cutting-edge tools to optimize this process. By processing data from monitoring devices, deep learning algorithms can predict pumpkin yield and recognize potential problems such as pests or nutrient deficiencies.