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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Sustainable and Energy-Efficient Automation in Mechanical Weeding: A Review of Manual Implements to Smart Robots

Authors: Anis Mulla; Tanmay Kokare; Sarthak Lakade; Pramod Bhandare;

Sustainable and Energy-Efficient Automation in Mechanical Weeding: A Review of Manual Implements to Smart Robots

Abstract

The increasing problems of labor shortages and environmental concerns, and a rising demand for sustainable food production have catalysed the development of automated mechanical weeding solutions. This paper is a systematic Review of technological evolution toward energy efficiency automatic wheel hoes, a very significant area in agricultural robotics. This review analyzes the spectrum of weeding technologies through the unifying lens of energy efficiency Operational viability and sustainability rely on this as a key metric. The review synthesizes findings to demonstrate that a system-level approach encompassing prime mover selection, mechatronic design, traction optimization, and advanced energy management is essential. Key findings indicate that battery-electric systems can achieve high weeding efficiency of 97 percentage with a far lower specific energy consumption than engine-powered counterparts. Furthermore, the integration of Battery Management Systems, high-efficiency wireless power transfer (WPT), and solar Recharging provides a feasible avenue to achieve operational feasibility. The review identifies unresolved challenges such as the influence of soil conditions on tractive efficiency and the energy cost of precision guidance. We conclude by delineating future research imperatives: adaptive control systems, standardized energy metrics, and hybrid human-robot workflows to optimize the energy budget of modern farming.

Keywords

Agricultural Robotics, Automatic Weeding, Energy Efficiency, Sustainable Agriculture, Battery Management, Tractive Performance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average