The Role of Autonomous Mechanical Weeding Robots in Climate-Smart Soil Management: A Scoping Review

IF 3.8 2区 农林科学 Q2 SOIL SCIENCE
Kathrin Grahmann, Lukas Thielemann, Lina Rohlmann, Adrija Roy, Cornelia Weltzien
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引用次数: 0

Abstract

The growing demand for sustainable agricultural practices has driven advancements in digital agricultural technologies, which is also reflected in the emerging development and market release of agricultural field robots in the last decade. Climate-smart sustainable soil management plays a key role in sustaining soil functions related to productivity, water and nutrient cycling, biodiversity and long-term resilience. The integration of autonomous field robots, for which mechanical weeding is currently the dominant application, into future field mechanization offers potential solutions to enhance climate-smart, soil-focused management. Based on limited existing research, this review synthesizes experimental studies quantifying robot-induced changes in crop production, soil properties and functions. We propose a framework in which autonomous mechanical weeding robots affect soil functions via two interacting pathways: (1) altered machinery intensity and its traffic patterns, and (2) repeated shallow soil disturbance associated with mechanical weeding interventions. The empirical evidence is skewed toward productivity-related outcomes (18 of 22 studies), primarily weeding efficiency, while soil physical, hydrological, and biogeochemical functions have rarely been quantified (5 studies). Existing research largely reflects mechanism linked to pathway 1, whereas cumulative effects of repeated mechanical disturbance remain insufficiently assessed. Significant knowledge gaps remain regarding the role of weeding robots in diversified cropping systems and their effects on soil functions such as water regulation, nutrient cycling, carbon sequestration, soil as habitat and overall soil health. Addressing these gaps includes not only technical aspects of weeding robotics, for example implement or pathway optimization. It also requires the multiannual evaluation of soil property changes, such as compaction, carbon sequestration and aggregate composition, and continuous soil monitoring to align with EU soil health targets and global sustainability goals.

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自主机械除草机器人在气候智能土壤管理中的作用:范围综述
对可持续农业实践日益增长的需求推动了数字农业技术的进步,这也反映在过去十年农业现场机器人的新兴开发和市场发布上。气候智能型可持续土壤管理在维持与生产力、水分和养分循环、生物多样性和长期恢复力相关的土壤功能方面发挥着关键作用。目前,机械除草是自主田间机器人的主要应用,将其集成到未来的田间机械化中,为加强气候智能、土壤管理提供了潜在的解决方案。基于有限的现有研究,本文综述了量化机器人引起的作物生产、土壤性质和功能变化的实验研究。我们提出了一个框架,其中自主机械除草机器人通过两个相互作用的途径影响土壤功能:(1)改变机械强度及其交通模式;(2)与机械除草干预相关的重复浅层土壤干扰。经验证据倾向于生产力相关结果(22项研究中的18项),主要是除草效率,而土壤物理、水文和生物地球化学功能很少被量化(5项研究)。现有的研究主要反映了与途径1相关的机制,而反复的机械干扰的累积效应仍然没有得到充分的评估。关于除草机器人在多样化种植系统中的作用及其对土壤功能(如水分调节、养分循环、碳固存、土壤作为栖息地和整体土壤健康)的影响,仍然存在重大的知识空白。解决这些差距不仅包括除草机器人的技术方面,例如实施或路径优化。它还要求对土壤性质变化进行多年评估,例如压实、碳固存和团聚体组成,以及持续的土壤监测,以与欧盟土壤健康目标和全球可持续性目标保持一致。
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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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