摘要
针对精确农业中农药喷洒的问题提出了一种基于形态学的多喷头喷洒参数确定算法。原始田间图像分割后分为植被和背景两部分,再通过不同的结构元素进行膨胀、腐蚀操作修正图像中的植被部分,接着根据处理后图像中的植被部分的面积和位置确定农药喷洒参数。结果表明,对不同的田间图像该算法均能较好的自动确定喷头的个数和每个喷头的喷洒参数。
A new algorithm based on morphology for the pesticide spraying parameterr with multi-nozzles in precision agriculture was proposed. The original image was first divided into vegetable and background with segmentation, and then the vegetable parts in segmentation image was processed via dilation and erosion with different structuring elements. The pesticide spraying parameters were extraction with morphology optimization image based on the areas and positions of the vegetable parts in morphology optimization image. The results of experiments showed that the nozzles number and spraying parameters of every nozzle were extracted in different field images.
出处
《安徽农业科学》
CAS
北大核心
2009年第35期17786-17787,共2页
Journal of Anhui Agricultural Sciences
基金
广西工学院科学研究基金资助项目(院科自0840101)
关键词
喷洒参数
多喷头
农药
形态学
Spraying parameters
Multi-nozzles
Pesticide
Morphology