Design and Experimental Study of a Transverse Metering Device for Precut Sugarcane Setts

Ma, Fanglan; Li, Ké; Luo, Xiao; Li, Shangping; Xiao, Teng

doi:10.1007/s12355-021-00966-8

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Presawing planting of sugarcane, a modern agricultural technique [8], facilitates automated and precision planting, in contrast to traditional whole-stalk or manual planting, thereby resulting in higher germination and survival rates [9]. Presawing planting of sugarcane is an effective strategy to enhance planting efficiency and yield, contributing significantly to the advancement and sustainability of the sugarcane industry [10,11].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Yan,

Liu,

et al. 2024

Agriculture

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Sugarcane is an important economic crop in tropical and subtropical regions. Presawing planting is an important method for achieving automated and precise planting with sugarcane planting machines. The sawing process is a key stage in planting management, affecting not only the germination and survival rates of sugarcane, but also reflecting the mechanical performance of sawing. To reduce the peak sawing force and enhance the sawing surface quality of sugarcane seedlings, this study utilized a central composite experimental design method. Single-factor and multi-factor experiments were conducted with a specially designed sugarcane stalk sawing experimental rig to investigate the impact of factors such as the stalk diameter feeding speed, and sawing speed on the peak sawing force and sawing surface quality. Upon being developed and validated, multivariate mathematical regression models elucidated the relationships among these factors. The experimental results showed that the order of influence of each factor on the peak sawing force was the stalk diameter, feed speed, and sawing speed, while for the sawing surface quality, the sequence was the sawing speed, stalk diameter, and feed speed. Correspondingly, the determination coefficients for the peak sawing force and sawing surface quality prediction models were 0.9708 and 0.9675. With a maximum error of 7.6% for the peak sawing force and an average relative error of 7.1%, and a maximum error of 3.5% for the sawing surface quality and an average relative error of 2.83%, the calculated results from the regression models were in good agreement with the experimental findings. This indicates that the models are capable of quickly and accurately predicting the peak sawing force and sawing surface quality of sugarcane stalks under different conditions. The research findings provide valuable insights for the development and optimization of sugarcane stalk presawing equipment and related experimental studies.

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Section: Introductionmentioning

confidence: 99%

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Yan,

Liu,

et al. 2024

Agriculture

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“…to reducing the workforce(Singh and Singh 2017;Ma et al 2022) and allowing decent work, making production more responsible. SDG 9 in turn (industry, innovation, and infrastructure) has the highest score (92/93).…”

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confidence: 99%

Technological advancements in mechanized sugarcane cultivation applicable to familiar farming: influences on sdg. A review

Santos¹,

Ferreira²,

Moraes³

et al. 2023

CLCS

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Mechanization is essential to achieve better efficiency agricultural production systems, contributing significantly to rural development. Utilization of agricultural machinery by family farmers allows them to achieve greater productivity, improving the quality of life. However, true quality of life is only likely to be reached when technological advancements are consistent with truly sustainable development. This article aims to analyze whether the current cutting-edge mechanization systems for sugarcane applicable for family farming achieve objectives 2,5,8,9,10,12 and 13 of the Sustainable Development Goals (SDGs). A systematic review of the literature was performed that revealed 31 representative articles that depicted advancements relevant to mechanisation of family farming production systems for sugarcane . These articles were analyzed in an organized way to assess the contribution of agricultural machinery and implements to achieving the SDGs. A comprehensive assessment was carried out in regards to aspects such as the readiness level of the technology (TRL) and the SDGs aimed at gender equality, decent work, economic growth, industry, innovation and infrastructure, reduction of inequality, responsible consumption and production, and actions to mitigate global climate change. The results of the analysis identify the SDG designed to address global climate change as the most critical, understanding that current research aimed at developing technologies to adapt mechanised sugarcane cultivation to family farming situations, do not show sufficient concern regarding the use of fossil fuels.

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A DEM-MBD based method for regulating transfer flux in the supply and discharge of cane seed particles

Zhang,

Wang,

Yang

et al. 2024

Computers and Electronics in Agriculture

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Design and Experimental Study of a Transverse Metering Device for Precut Sugarcane Setts

Cited by 3 publications

References 7 publications

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Technological advancements in mechanized sugarcane cultivation applicable to familiar farming: influences on sdg. A review

A DEM-MBD based method for regulating transfer flux in the supply and discharge of cane seed particles

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