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