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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 powerful tools to optimize this process. By interpreting data from monitoring devices, deep learning algorithms can estimate pumpkin yield and identify potential problems such as pests or nutrient deficiencies