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Review Article Logistic growth model, as an important mathematical model to describe population or population changes, is now widely used in many fields. Researchers found that the problems involved cover many disciplines such as mathematics, physics, medicine, and biology. Therefore, the Logistic growth model has a strong application background and practical significance. This paper improves the logistic growth model that introduces harvest items, and applies the improved model to populationdoi:10.36347/sjpms.2020.v07i09.002 fatcat:mcfz6hceujfu3cocirnnvscm7y