The production of a pumpkin patch is a complex process influenced by multiple factors. Deep learning, a subset of machine learning, offers powerful tools to optimize this process. By processing data from ici weather stations, deep learning algorithms can predict pumpkin yield and recognize potential problems such as pests or nutrient deficiencies.