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