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The production of a pumpkin patch is a complex process influenced by various factors. Deep learning, a subset of machine learning, offers cutting-edge tools to optimize this process. By interpreting data from monitoring devices, deep learning algorithms can predict pumpkin yield and detect potential problems such as pests or nutrient deficiencies.