The yield of a pumpkin patch is a complex process influenced by various factors. Deep learning, a subset of machine learning, offers innovative tools to optimize this process. By processing data plus d'informations from sensors, deep learning algorithms can forecast pumpkin yield and detect potential problems such as pests or nutrient deficiencies.