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The production of a pumpkin patch is a complex process influenced by a range of factors. Deep learning, a subset of machine learning, offers innovative 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.