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