摘要
基于数据挖掘的技术,设计了橡胶种植的数字化专家系统。根据拍摄的土壤图像,提取出其颜色特征和纹理特征,计算颜色矩,从而识别合适的种植土壤。根据识别出的结果可以有针对性地对土壤做些有利于橡胶树生长的干预工作。
This paper designs a digital expert system for rubber planting based on data mining technology.Based on the taken soil image,the color characteristics and texture features were extracted and the color moment was calculated to identify the suitable planting soil.According to the identified results,the soil can be targeted for the intervention of the growth of rubber trees.
作者
官金兰
GUAN Jinlan(Basic department,Guangdong Agriculture Industry Business Polytechnic,Guangzhou 510507,China)
出处
《广东农工商职业技术学院学报》
2018年第2期5-8,共4页
Journal of Guangdong Agriculture Industry Business Polytechnic
基金
广东农工商职业技术学院校级课题"基于数据挖掘技术的橡胶产业的数字化研究"(xykt1601)
广东农工商职业技术学院优秀青年学者项目"基于辐射传输方程的光学层析图像重建算法的研究"
关键词
数据挖掘
颜色矩
纹理特征
图像识别
data mining
color moment
texture feature
image recognition
