苗间机械除草技术智能化的应用和展望
Application and Prospect of Intelligent Mechanical Weeding Technology Among Seedlings
廖洪晖 1韩静 1张天宇 1曲歆锐2
作者信息
- 1. 黑龙江八一农垦大学工程学院 黑龙江 大庆 163319
- 2. 黑龙江八一农垦大学信息与电气工程学院 黑龙江 大庆 163319
- 折叠
摘要
如何在减少土地污染的情况下进行除草作业变得越来越重要.苗间机械除草智能化能间接影响作物的生长和产量,也能有效减少除草剂的使用,降低对土壤的破坏和污染,为修复农业生态系统做贡献.本文通过分析和研究国内外苗间智能识别除草技术的应用,综述苗间除草识别技术的各种运用方法和实现形式,并具体分析了苗间除草识别技术与除草机械结合情况,对信息识别技术进展进行了简单的概括.总结了当前除草技术所存在的问题和不足,并提出了解决这些问题的策略.
Abstract
Under the background of the national agricultural green development plan,how to carry out weeding operation under the condition of reducing land pollution has become more and more important.Intelligent mechanical weeding between seedlings can indirectly affect the growth and yield of crops,effectively reduce the use of herbicides,reduce the damage and pollution to soil,and contribute to the restoration of agricultural ecosystem.At present,both at home and abroad are focusing on the research of weed recognition technology in real-time field conditions,including the development of GitHub repository,the construction of image dataset and the use of deep learning.This paper analyzes and studies the application of intelligent identification weeding technology between seedlings at home and abroad,summarizes various application methods and implementation forms of weeding identification technology between seedlings,analyzes the combination of weeding identification technology and weeding machinery,and gives a simple overview of information identification.The problems and deficiencies of current weeding technology were summarized,and the strategies to solve these problems were put forward.
关键词
绿色农业/智能除草/机械装置/杂草识别Key words
green agriculture/intelligent weeding/mechanical devices/weed identification引用本文复制引用
出版年
2024
NETL
NSTL
万方数据