Development and performance evaluation of a grass-cutting attachment for an autonomous off-road platform

• Developed a modular grass-cutting attachment for an autonomous off-road platform, enhancing task flexibility and enabling scheduled, autonomous field maintenance to reduce labor dependency. • The system enhanced the platform's ability to meet diverse agricultural and landscaping needs. • The system achieved average cutting rate of 26.04 m 2 · m i n − 1 and 26.23 m 2 · m i n − 1 on flat and sloped fields, respectively. • The system energy consumption recorded 0.269 k W h · h − 1 in flat areas and 0.292 k W h · h − 1 in sloped, bumpy terrain, with an 8 % increase in power demand on uneven surfaces. • The developed system measured an average sound level of 67.3 dB, 74.3 dB, and 76.2 dB at 50 %, 75 %, and 100 % operating capacity. System sound levels of 67.3 dB at 50 % load, making it quieter than conventional mowing equipment Compact and modular unmanned ground vehicles represent a transformative approach to addressing critical challenges in the global agricultural industry, potentially significantly enhancing total factor productivity. This study focuses on the development and performance evaluation of a grass-cutting attachment designed for the Adam robot, an autonomous open mobility platform specifically designed for off-road applications to underscore the potential of integrating autonomous platforms with purpose-built attachments to revolutionize modern agricultural practices. The main objectives were to improve the system's applicability, facilitate multifunctional land management, reduce labor dependency, and provide a versatile tool for data-driven, optimized vegetation control. The designed system was a grass-cutting attachment incorporating a single medium-lift blade powered by a direct rotary electric motor and an electro-hydraulic height adjustment mechanism. Performance evaluations were conducted based on parameters including cutting efficiency, power consumption, durability and wear, ease of use, safety, maintenance requirements, environmental impact, cost-effectiveness, versatility, and mulching capability, all assessed according to established standards. Results showed an average cutting rate of 26.04 m 2 · m i n − 1 and 26.23 m 2 · m i n ( − 1 ) on flat and sloped fields, respectively, with consistent high-quality cutting and mulching performance. The system's average input power was measured at 281.3 W, and sound levels were recorded at 67.3 dB, 74.3 dB, and 76.2cdB at 50 %, 75 %, and 100 % operating capacity, respectively. While the overall performance was deemed acceptable, areas such as installation methodology, some power criteria, and safety systems present opportunities for refinement in future iterations.

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Publication Details

Journal
Smart Agricultural Technology
Published
2025-02-26
DOI
https://doi.org/10.1016/j.atech.2025.100858
Citations
1
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.95
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article

Development and performance evaluation of a grass-cutting attachment for an autonomous off-road platform

Jefri Alfonso Sigalingging, Tamir Blum, Ali Roshanianfard, Cheng Yucheng et al.
1 citations
Smart Agricultural Technology
Soil Mechanics and Vehicle Dynamics
0.95
article

Development and performance evaluation of a grass-cutting attachment for an autonomous off-road platform

Jefri Alfonso Sigalingging, Tamir Blum, Ali Roshanianfard, Cheng Yucheng, Heikki Saul
article en
1 citations

Abstract

• Developed a modular grass-cutting attachment for an autonomous off-road platform, enhancing task flexibility and enabling scheduled, autonomous field maintenance to reduce labor dependency. • The system enhanced the platform's ability to meet diverse agricultural and landscaping needs. • The system achieved average cutting rate of 26.04 m 2 · m i n − 1 and 26.23 m 2 · m i n − 1 on flat and sloped fields, respectively. • The system energy consumption recorded 0.269 k W h · h − 1 in flat areas and 0.292 k W h · h − 1 in sloped, bumpy terrain, with an 8 % increase in power demand on uneven surfaces. • The developed system measured an average sound level of 67.3 dB, 74.3 dB, and 76.2 dB at 50 %, 75 %, and 100 % operating capacity. System sound levels of 67.3 dB at 50 % load, making it quieter than conventional mowing equipment Compact and modular unmanned ground vehicles represent a transformative approach to addressing critical challenges in the global agricultural industry, potentially significantly enhancing total factor productivity. This study focuses on the development and performance evaluation of a grass-cutting attachment designed for the Adam robot, an autonomous open mobility platform specifically designed for off-road applications to underscore the potential of integrating autonomous platforms with purpose-built attachments to revolutionize modern agricultural practices. The main objectives were to improve the system's applicability, facilitate multifunctional land management, reduce labor dependency, and provide a versatile tool for data-driven, optimized vegetation control. The designed system was a grass-cutting attachment incorporating a single medium-lift blade powered by a direct rotary electric motor and an electro-hydraulic height adjustment mechanism. Performance evaluations were conducted based on parameters including cutting efficiency, power consumption, durability and wear, ease of use, safety, maintenance requirements, environmental impact, cost-effectiveness, versatility, and mulching capability, all assessed according to established standards. Results showed an average cutting rate of 26.04 m 2 · m i n − 1 and 26.23 m 2 · m i n ( − 1 ) on flat and sloped fields, respectively, with consistent high-quality cutting and mulching performance. The system's average input power was measured at 281.3 W, and sound levels were recorded at 67.3 dB, 74.3 dB, and 76.2cdB at 50 %, 75 %, and 100 % operating capacity, respectively. While the overall performance was deemed acceptable, areas such as installation methodology, some power criteria, and safety systems present opportunities for refinement in future iterations.

Smart Agricultural TechnologyVol. 10
Sustainable cities and communities
Openalex Percentile: Top 28%
Soil Mechanics and Vehicle Dynamics
0.95
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