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为解决番茄酱产季番茄原料供应不均衡问题,从番茄种植的视角,构建了番茄种植的非线性数学决策模型,提出采用SUMT(序列无约束极小化技术),对番茄产量和采收期时延变量作用下的种植策略进行研究.结果表明,SUMT在番茄的规模种植下可实现精量化决策;番茄采收期时延是影响原料均衡供应的主要因素之一,采用SUMT获得不同采收期时延下的最佳番茄种植决策.该研究建立了目标优化模型,探索了SUMT在番茄种植规划中的应用,对番茄种植决策、实现原料均衡供应有指导意义.
In order to solve the problem of unbalanced supply of tomato raw materials in the season of tomato paste production, a nonlinear mathematical decision model of tomato cultivation was constructed from the perspective of tomato cultivation. The mathematical model of tomato maturity was proposed using SUMT (sequence unconstrained minimization) The results showed that SUMT can achieve the precision decision under the planting of tomato. The time delay of harvesting tomato is one of the main factors that affect the balanced supply of raw materials. The use of SUMT to obtain different harvest The optimal tomato planting decision-making under the period of time-delay.The study established a target optimization model and explored the application of SUMT in tomato planting planning, which has guiding significance for the decision of tomato planting and the balanced supply of raw materials.