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