The harvest 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 forecast pumpkin yield and recognize potential problems such as pests or nutrient deficiencies.