新疆加工番茄单株产量的预测方法研究

Study on Forecasting Method of Processing Tomato Yield per Plant in Xinjiang

从植物生理学入手,以新疆某加工番茄种植地的种植环境和气候条件为背景,通过广泛收集生产管理资料,结合田间试验,分析各影响因素与作物生长发育过程和产量之间的关系,应用数学建模技术和控制算法构造加工番茄干物质积累与产量形成模型,并通过细化影响因素的作用来提高模型的精准性,实现加工番茄的单株产量预测。

Starting from plant physiology,under the background of planting environment and climate conditions of a tomato processing place in Xinjiang,through extensive collection of production management data,combined with field experiment,the relationship between influence factors and crop growth process and yield was analyzed. The mathematics modeling and control algorithm was applied to construct processing tomato dry matter accumulation and yield formation model. The accuracy of model was improved through thinning the effect of factors,so as to realize per plant yield prediction of processing tomato.