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变量决策模型和优化算法是精准农业变量作业处方生成的核心环节.文中建立了一个综合考虑作物产量、质量、能源消耗、环境影响等多个指标的变量施肥多目标优化模型,提出了一种求解此类问题的高效禁忌搜索算法,从产量最大化的初始施肥方案出发,基于最近可行解的概念进行邻域搜索,并按照质量优先的策略不断寻找和更新解集,最后得到一组非支配意义下的优化施肥方案,以提高精准农业变量施肥的决策支持能力和水平.通过对江西宜春地区油茶树变量施肥问题的案例研究,验证了模型和算法的有效性和实用性.
The variable decision-making model and optimization algorithm are the core of the generation of precision agricultural variable prescriptions.This paper established a multi-objective fertilization optimization model considering multiple factors such as crop yield, quality, energy consumption, environmental impact and so on, The efficient tabu search algorithm for such problems starts with an initial fertilization scheme that maximizes output, searches for the neighborhood based on the concept of the most recent feasible solution, and constantly looks for and updates the solution set according to the quality-first strategy. Finally, a set of non-dominated meanings To optimize the fertilization decision-making ability and level of precision agricultural variable fertilization.Through a case study on the variable fertilization of Camellia oleifera tree in Yichun, Jiangxi Province, the validity and practicability of the model and the algorithm are verified.