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基于蚁群算法的农田水利灌区自走式撒肥机路径规划研究

Research on Path Planning of Self-propelled Fertilizer Spreader in Farmland Irrigation Area Based on Ant Colony Algorithm

  • 摘要: 农田水利灌区的撒肥仍以人工撒肥为主,作业效率低、不均匀、且存在偏施等问题,造成水利及施肥资源的浪费。本文提出一种自走式撒肥机,采用蚁群算法分别对规则和不规则边界地块进行路径规划。通过与粒子群算法对比得出,蚁群算法在撒肥路径的规划过程中路径较短,计算时间少,能耗小,蚁群算法要优于粒子群算法。

     

    Abstract: Aiming at the problems of low operation efficiency,uneven and partial application of fertilizer in farmland irrigation area,which still focuses on manual fertilization,resulting in the waste of water conservancy and fertilization resources.This paper presents a self-propelled fertilizer spreader.Ant colony algorithm is used to plan the path of regular and irregular boundary plots respectively.Compared with particle swarm optimization algorithm,ant colony algorithm and particle swarm optimization algorithm are used for path planning for regular and irregular plots of the same size.It is found that the path of ant colony algorithm is shorter and the calculation time is less than that of particle swarm optimization algorithm in the planning process of fertilizing path,so the fertilizing function consumption is also less,and ant colony algorithm is better than particle swarm optimization algorithm.

     

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