物联网与机器学习在农业中的应用  

作　　者：吕晓宇 赵思琪 苏子航 陈冲 李玉香[1] 

机构地区：[1]河北科技师范学院,河北秦皇岛066004

出　　处：《智慧农业导刊》2023年第12期10-13,共4页JOURNAL OF SMART AGRICULTURE

基　　金：2018年教育部产学合作协同育人项目(201801037002)。

摘　　要：农业是国民经济发展的重要根基,更是关系国计民生的重要保障。随着农业需求量的不断增加,如何应用先进技术提高农业生产效率成为重要课题。随着物联网技术的飞速发展以及在农业领域的深入应用,改变农业生产的传统模式,推动农业向自动化和智能化方向发展,为农业持续高效发展提供强大助力。基于此,该文深入分析物联网与机器学习主要概念和在农业中应用的重要意义,探究物联网与机器学习在农业中的具体应用,供相关人士参考。Agriculture is not only an important foundation of national economic development,but also an important guarantee related to the national economy and people's livelihood.With the continuous increase of agricultural demand,how to apply advanced technology to improve agricultural production efficiency has become an important topic.With the rapid development of the Internet of Things technology and its in-depth application in the field of agriculture,it has changed the traditional mode of agricultural production,promoted the development of agriculture to the direction of automation and intelligence,and provided a strong boost for the sustainable and efficient development of agriculture.Based on this,this paper deeply analyzes the main concepts of the Internet of Things and machine learning and the significance of their application in agriculture,and explores the specific applications of the Internet of Things and machine learning in agriculture for reference.

关 键 词：物联网 机器学习 农产品 精准农业 传感器 

分 类 号：S126[农业科学—农业基础科学]