Efficacy of Mechanical Weeding Tools: a study into alternative weed management strategies enabled by robotics

杂草防治 杂草 耕作 干预(咨询) 导线 农业工程 农学 地理 生物 医学 工程类 地图学 精神科
作者
Chris McCool,James R. Beattie,Jennifer Firn,Chris Lehnert,Jason Kulk,Owen Bawden,R. Russell,Tristán Pérez
出处
期刊:IEEE robotics and automation letters 卷期号:: 1-1 被引量:62
标识
DOI:10.1109/lra.2018.2794619
摘要

The rise of herbicide resistant weed species has reinvigorated research in nonchemical methods for weed management. Robots, such as AgBot II, that can detect and classify weeds as they traverse a field are a key enabling factor for individualised treatment of weed species. Integral to the invidualized treatment of weed species are the the nonherbicide methods through which the weeds are managed. This letter explores mechanical methods as an alternative to weed management. Three implements are considered: below-surface tilling (arrow hoe), above-surface tilling (tines), and a cutting mechanism. These mechanisms were evaluated in a controlled field with varying rates of application to herbicide-resistant weeds of interest for Queensland, Australia. Statistical analysis demonstrated the efficacy of these implements and highlighted the importance of early intervention. It was found that a tine, deployed automatically on AgBot II, was effective for all of the weeds considered in this study, leading to an overall survival probability of 0.28 ± 0.15. Further analysis demonstrated the significance of treatment time with late intervention commencing at week 6 resulting in a survival probability of 0.54 ± 0.08 vs 0.24 ± 0.18 for earlier intervention at week 4.

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