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