摘要
随着农业信息化的快速发展,如何快速、有效地对茶树虫害进行诊断和防治成为当前亟需解决的问题。与传统的人工诊断和防治相比,物联网和web技术在使用过程中具有快捷、方便、准确、可靠的独特优势,受到了越来越多的关注。为此,本文全面、系统地阐述了基于物联网、web技术和本体学习的茶树虫害智能诊断和预防的研究现状,分析其在虫害诊断上存在的优缺点,指出今后茶树虫害诊断和预防的发展方向,以期实现茶树虫害的自动预警和预防。
With the rapid development of agricultural information,how to quickly and effectively diagnose and control tea pests has become an urgent problem. Compared with the traditional artificial diagnosis and prevention,the Internet of things and web technology have more and more attention in the process of using,which is quick,convenient,accurate and reliable. Therefore,this paper described the current research status of intelligent diagnosis and prevention of tea pest based on the Internet of things,web technology and the ontology learning,analysed the advantages and disadvantages of the insect pest diagnosis,at the same time,pointed out the future research direction of insect pest diagnosis and prevention,in order to achieve automatic warning and prevention.
出处
《信阳农林学院学报》
2017年第2期103-106,共4页
Journal of Xinyang Agriculture and Forestry University
基金
信阳农林学院青年教师基金项目(201501015)
关键词
茶树虫害
物联网
WEB技术
本体学习
tea pest
Internet of things
web technology
ontology learning
