A DYNAMIC PROGRAMMING MODEL OF EARLY POTATO HARVESTING
研究了蔬菜种植者在产量随时间增长、价格波动和收获速率受限的情况下，如何通过动态规划模型优化马铃薯收获决策，以提高利润。
A vegetable producer often faces complex harvest decisions where yield increases through time and varies across crop area, price is determined in erratic seasonal markets, and harvest rate is constrained. In this paper, a simplified two‐period potato harvest problem is developed to define a set of marginal conditions for an optimum. The model is then extended to the multi‐period case and numerical solutions are generated for a representative farm in South Wales using dynamic programming. The model provides a general framework for analysing crop harvesting systems and prescribing marginal changes, such as adjustments in the harvest capacity, which improve profitability over myopic harvest patterns.