摘要
基于机器学习的图像处理技术是人工智能的核心内容之一,在近几年里应用于人类的各个领域。图像处理是机器学习中的一项关键技术,在各行业中得到了广泛应用。因为农业生产中因素多变,环境复杂,目标图像在不同时间差异性极大,高效准确的获取图像特征才能保障系统的可靠性。所以需要通过对农业许多图像处理技术的应用研究进行分析,不断总结其中的问题并解决建议,这样才可以使得现代农业的升级改造,图像处理技术在农业生产链中的应用前景未来才会更为广泛。
The image processing technology based on machine learning is one of the core contents of artificial intelligence and has been applied in various fields of human beings in recent years.Image processing is a key technology in machine learning and has been widely used in various industries.Due to the changeable factors and complex environment in agricultural production,the target image varies greatly at different times.Only the efficient and accurate acquisition of image features can ensure the reliability of the system.Therefore,it is necessary to analyze the application of many agricultural image processing technologies,constantly summarize the problems and provide solutions.Only in this way can modern agriculture be upgraded and transformed,and the application prospect of image processing technology in agricultural production chain become more extensive in the future.
作者
李海鹏
赵红波
何继燕
曹志勇
LI Haipeng;ZHAO Hongbo;HE Jiyan;CAO Zhiyong(College of Big Data,Yunnan Agricultural University,Kunming,China,650201)
出处
《福建电脑》
2019年第6期17-20,共4页
Journal of Fujian Computer
基金
云南省科技计划项目“农业部门土壤详查信息平台建设和专题成果集成档案库建设”(No.云财建(2018)-39)
云南省科技厅重大专项“药用动物源性中药材质量控制体系建设”(No.2018ZF0120101)资助
关键词
现代农业
机器学习
图像处理
农业信息化
Modern Agriculture
Machine Learning
Image Processing
Agricultural Informatization
