The production of a pumpkin patch is a complex process influenced by various 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 predict pumpkin yield and identify potential problems such as pests or nutrient deficiencies. This