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。
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.
出处
《安徽农业科学》
CAS
北大核心
2010年第13期6677-6678,共2页
Journal of Anhui Agricultural Sciences
基金
广西工学院科学研究基金项目(院科自0840101)
关键词
喷洒参数
农药
粒子群
Spraying parameters
Pesticide
Particle swarm
