摘要
在传统的农业生产过程中,由于很多农业生产者缺少丰富专业的农业知识与技术,容易导致农作物在发生病虫害时得不到正确预防与治疗处理,给农业生产者带来巨大的经济损失。可以利用信息技术将病虫害防治知识数字化,使用智能应答技术对农业生产者提供及时的专业知识服务,从而显著提高农业生产者获取病虫害防治信息的效率和准确性,降低病虫害的威胁,增加农作物的产量。该文通过调查研究农业种植过程中出现的病虫害问题以及农业生产者获取信息帮助的困境,提出应用语音识别、自然语言处理等智能化信息处理技术,对农业种植常见病虫害诊断与防治方法等知识进行数字化、智能化处理,实现一个基于农作物病虫害知识图谱的智能应答系统。该系统的实现可帮助农业生产者快速准确地获取农业病虫害的相关知识,使得农作物得到及时精准的处理,降低病虫害带来的损失。
In the traditional process of agricultural production,due to the lack of rich professional agricultural knowledge and technology of many agricultural producers,it is easy to lead to the failure of correct prevention and treatment of crops in the occurrence of diseases and pests,which brings huge economic losses to agricultural producers.We can use information technology to digitize pest control knowledge,and use intelligent response technology to provide timely professional knowledge services to agricultural producers,so as to significantly improve the efficiency and accuracy of agricultural producers in obtaining pest control information,reduce the threat of diseases and pests and increase the yield of crops.By investigating and studying the problems of diseases and pests in the process of agricultural planting and the plight of agricultural producers in obtaining information,this paper puts forward the application of smart information processing technologies such as speech recognition and natural language processing.The knowledge of diagnosis and control methods of common diseases and pests in agricultural planting is digitalized and intelligently processed,and an intelligent response system based on crop pest knowledge graph is realized.The implementation of the system can help agricultural producers to obtain the relevant knowledge of agricultural diseases and pests quickly and accurately,so that crops can be processed timely and accurately,and the losses caused by diseases and pests can be reduced.
作者
朱成毅
杭波
ZHU Chengyi;HANG Bo
出处
《智慧农业导刊》
2023年第14期21-26,33,共7页
JOURNAL OF SMART AGRICULTURE
基金
中央引导地方科技发展专项(2019ZYYD043)
湖北省国际科技合作项目(2019AHB059)
襄阳市科技项目(无编号)。
关键词
农业
病虫害
智能应答系统
知识图谱
信息技术
语音识别
agriculture
diseases and pests
intelligent response system
knowledge graph
information technology
speech recognition
