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 interpreting data from weather stations, deep learning algorithms can forecast pumpkin yield and detect potential problems such as pests or nutrient deficiencies. This