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相关实验视频

Updated: Jun 30, 2025

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

模拟西红心膜微观结构作为收获机器人的力量控制参考.

Weigui Xie^1,2, Jinchen Yang¹, Zhenhua Tan¹

¹School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, P. R. China.

Journal of the science of food and agriculture

|March 18, 2024

概括

一个新的基于Voronoi的模型重建了西红周骨细胞结构. 这种方法模拟细胞压缩,准确预测内部损伤,提高机器人收获成功率.

关键词:

沃罗诺伊是一个伟大的人.细胞结构细胞结构模拟建模的模型.在这里,我们可以看到茄,番茄,番茄.

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A Labor-saving and Repeatable Touch-force Signaling Mutant Screen Protocol for the Study of Thigmomorphogenesis of a Model Plant Arabidopsis thaliana

A Labor-saving and Repeatable Touch-force Signaling Mutant Screen Protocol for the Study of Thigmomorphogenesis of a Model Plant Arabidopsis thaliana

Published on: August 6, 2019

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

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Last Updated: Jun 30, 2025

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

Published on: March 16, 2010

A Labor-saving and Repeatable Touch-force Signaling Mutant Screen Protocol for the Study of Thigmomorphogenesis of a Model Plant Arabidopsis thaliana

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Published on: August 6, 2019

Robotic Sensing and Stimuli Provision for Guided Plant Growth

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科学领域:

农业机器人农业机器人
生物机械工程生物机械工程
材料科学材料科学材料科学

背景情况:

智能自动化推进了水果收获,但由于内部,机器视觉不可察觉的损坏,番茄采摘成功率需要改进.
目前的机器人收获方法难以防止在番茄采摘过程中微妙的内部果实损伤.

研究的目的:

开发一种新的建模方法,用于重建番茄的细胞结构.
在细胞水平上模拟番茄的机械行为,以确定潜在的损伤点.

主要方法:

经过修改的Voronoi算法被用来创建一个小模型的西红皮的细胞结构.
在重建的微型模型上进行了压缩模拟,以分析内部应力和预测损伤.

主要成果:

对不同成熟度的骨骨的模拟结果与实验测试有很高的一致性.
开发的建模和模拟方法在预测内果损伤方面的可行性得到了验证.

结论:

基于Voronoi的建模方法准确地重建了西红皮细胞结构,并预测了压缩行为.
这种方法通过优化抓取力控制来增强机器人收获,从而减少隐形损伤并提高机器人的整体性能.