自动杂草检测系统综述

S. Shanmugam, E. Assunção, R. Mesquita, A. Veiros, P. Gaspar
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引用次数: 10

摘要

杂草植物可以被描述为在给定时间的特定地点不需要的植物。自从土地被用于粮食生产以来,农民就一直在与杂草作斗争。在传统农业中,这种杂草控制对产品的总成本有相当大的贡献。自动杂草检测是农作物生产中有效减少或排除化学品的可行解决方案之一。对杂草分割图像的自动分析与评价的研究一直在集中和结合现代方法和提出的技术。本文对杂草控制方法进行了讨论和比较,重点介绍了杂草自动化检测和控制的研究现状。关键词:检测,杂草,农业4.0,计算视觉,机器人
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Weed Detection Systems: A Review
A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce. Automatic weed detection is one of the viable solutions for efficient reduction or exclusion of chemicals in crop production. Research studies have been focusing and combining modern approaches and proposed techniques which automatically analyze and evaluate segmented weed images. This study discusses and compares the weed control methods and gives special attention in describing the current research in automating the weed detection and control. Keywords: Detection, Weed, Agriculture 4.0, Computational vision, Robotics
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