Biomechanical properties of ready-to-harvest rapeseed plants: Measurement and analysis

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY Information Processing in Agriculture Pub Date : 2023-09-01 DOI:10.1016/j.inpa.2022.04.002
Guangchao Zhan , Wangyuan Zong , Lina Ma , Junyi Wei , Wei Liu
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Abstract

A large loss occurs in the combine harvesting of rapeseeds due to the fragility of rapeseed pods, and all the more so with the vibration of the combine header and the collision between the header and plants. Seed loss is greatly affected by the biomechanical properties of ready-to-harvest rapeseed plants. To understand the mechanism of pod cracking and seed loss and to propose measures for alleviating them, it is needed to study the biomechanical properties of ready-to-harvest rapeseed plants. To this end, “Huayouza 62”, a widely planted rapeseed variety in central China, was selected to study the biomechanical properties, including pod-cracking resistance, main stem-shearing resistance and resonant frequencies, of whole plants. The results showed that the distribution of pod-cracking resistance forces was 1.333–6.100 N in the mature stage, and the pod width and thickness had a significant influence on the cracking resistance. The main influencing factor of the main stem-shearing resistance was the stem diameter. A thicker main stem resulted in a larger shearing resistance force but a smaller shear stress. The moisture contents of the main stems varied from 47.71% to 76.13%. However, the varying moisture contents did not show a significant impact on the shearing resistance. The resonant frequencies of whole rapeseed plants ready for harvest ranged from 6.5 Hz to 7.5 Hz, which was close to the excitation frequency of the cutter bar on the 4LL-1.5Y harvester. This study lays a foundation for improving the design and construction of harvesting devices for rapeseed plants to reduce seed loss.

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即采油菜籽植物的生物力学特性:测量与分析
由于油菜籽荚的脆弱性,联合收割机收割油菜籽时会出现大量损失,尤其是联合收割机收割台的振动和收割台与植物之间的碰撞。种子损失在很大程度上受到即将收获的油菜籽植物的生物力学特性的影响。为了了解结荚和种子损失的机制并提出缓解措施,有必要研究即食油菜籽植株的生物力学特性。为此,选择华中地区广泛种植的油菜品种“华油杂62”,对其全株的抗裂荚性、抗主茎剪切性和共振频率等生物力学特性进行了研究。结果表明,成熟期荚的抗裂力分布为1.333–6.100N,荚的宽度和厚度对其抗裂性有显著影响。影响主茎抗剪强度的主要因素是主茎直径。较厚的主茎产生较大的剪切阻力,但产生较小的剪切应力。主茎的含水量在47.71%至76.13%之间,但不同的含水量对抗剪性能没有显著影响。整个油菜植株的共振频率在6.5Hz至7.5Hz之间,接近4LL-1.5Y收获机上切割器的激励频率。本研究为改进油菜籽收获装置的设计和结构以减少种子损失奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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