首页 | 本学科首页   官方微博 | 高级检索  
     

基于粒子群算法的喷洒参数优化算法
引用本文:石玉秋,黄玲,曹乃文,胡波. 基于粒子群算法的喷洒参数优化算法[J]. 安徽农业科学, 2010, 38(13): 6677-6678
作者姓名:石玉秋  黄玲  曹乃文  胡波
作者单位:1. 广西工学院电子信息与控制工程系,广西柳州,545006
2. 广西工学院鹿山学院电子信息与控制工程系,广西柳州,545616
基金项目:广西工学院科学研究基金 
摘    要:针对精确农业中农药喷洒参数的优化,提出了一种基于粒子群算法的喷洒参数优化算法。首先将农田图像分割为二值图像,将图像标记为植被区域和背景区域,然后以描述喷洒效果的数学模型为标准,通过粒子群算法优化喷头的位置和喷洒半径。结果表明,与植被区域中心确定的喷头位置和半径比较,新算法取得了较好的结果。

关 键 词:喷洒参数  农药  粒子群

Spraying Parameter Optimization Algorithm Based on Particle Swarm Algorithm
Affiliation:SHI Yu-qiu et al (Department of Electronic Information & Control Engineering,Guangxi University of Technology,Liuzhou,Guangxi 545006)
Abstract:A spraying parameter optimization algorithm based on particle swarm algorithm was proposed for the optimization of pesticide spraying parameter in precision agriculture. Firstly,the images of farmland were divided into binary images which were marked as the vegetation area and background area. Then taking the mathematic model for computing the effects of spraying as the standard,the position of nozzle and radius were optimized through particle swarm algorithm. Results showed that,compared with the results of center method based on the center of vegetation area,the new algorithm got a better effect in the aspects of nozzle position and radius.
Keywords:Spraying parameters   Pesticide   Particle swarm
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号