摘要
设计以目前新疆某市现代农业园60000亩枣棉田混合种植区的精细灌溉项目为背景,建立了基于最大经济效益的灌溉—收益模型。并且利用遗传算法强大的搜寻功能,对枣棉田灌溉模型的最优解进行求解,得到在有限灌水量条件下的单位面积最大经济收益及枣棉各生长阶段的最优灌水量分配方案。最后,将目标函数的最优解与原固定灌溉制度下的作物产量、整体经济收益相比,验证该模型的有效性。
The design is based on the agricultural farm in some city,60000 acres of jujube-cotton mixed planting area of precision irrigation project,and the irrigation model is established for maximum profits.Under the condition of the limited irrigation water,the optimal solution of the irrigation model is obtained by using genetic algorithm,resulting in the best irrigation water allocation scheme at different stages.Finally,compared the crop yields and economic benefits of the optimal solution and the original fixed irrigation mode,the optimal water allocation scheme of the irrigation mode resulted by genetic algorithm is able to make more profits theoretically.
出处
《计算机与数字工程》
2015年第12期2135-2140,共6页
Computer & Digital Engineering
关键词
精细灌溉
灌溉模型
遗传算法
最优解
precise irrigation
irrigation model
genetic algorithm
optimal solution