Dynamic optimisation of nitrogen fertilisation of citrus and the value of information from leaf tissue analysis
通过两个随机动态优化模型，研究了柑橘园长期最优施肥和灌溉策略，并评估了完全且免费的叶片氮含量信息的预期经济价值，同时分析了信息改善对氮肥使用和淋溶的影响。
The optimal long-run fertilisation and irrigation of a perennial crop is approached via two stochastic dynamic optimisation models. The first model assumes that the ex-post level of the state variable - leaf nitrogen (LN) - is known with certainty. The second model assumes that the level of leaf nitrogen is not observed, but that the farmer has a prior probability distribution on the level of leaf nitrogen, which can be updated to yield a series of posterior probability distributions conditioned on past input decisions. Comparison of the values of the objective functions of both models yields an expected economic value of complete and costless information of leaf tissue analysis. The analysis is illustrated for a mature citrus grove. The impact of improved information on nitrogen use and leaching is also examined empirically