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肥料形状特征精密测量仪及测定方法

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针对人工测量精度低、工作量大以及高精度测量仪器成本高、操作复杂等问题,提出一种精密测量肥料形状特征的仪器及方法,通过图像采集、灰度和伽玛校正以及边缘检测计算肥料形状特征.测量仪以间歇采集模式工作,可同时获取肥料的顶部和侧面图像;然后对顶部和侧面灰度图像进行伽玛校正,以提高图像对比度;最后基于方向梯度的边缘检测算法准确提取肥料的顶部和侧面轮廓图像,并根据轮廓图像计算形状特征.利用三维扫描法和本文提出的方法测量了复合肥、有机肥和生物肥的形状特征,通过Grubbs检验、F检验和t检验评估2种方法之间的显著性差异.结果表明,2 种测定方法的肥料形状特征无显著差异,提出的测量仪器和方法可以快速、准确测量肥料的形状特征,为肥料生产和质量检验奠定坚实的基础.
Precision measuring instrument and method of fertilizer shape characteristics based on binocular vision
Aiming at the low precision and heavy workload of manual measurement,as well as the high cost and complex operation of high-precision measuring instruments,a precision measuring instrument and method of fertilizer shape characteristics were proposed.In this method,the fertilizer shape characteristics were calculated by image acquisition,gray and gamma correction,and edge detection.Firstly,the measuring instrument worked in an intermittent collection mode,which could acquire the top and side images of fertilizer at the same time.Secondly,gamma correction was performed on the top and side grayscale images to improve the image contrast,after the fertilizer image collection was completed.Finally,the edge detection algorithm based on the orientation gradient was proposed to extract the top and side contour images of the fertilizer accurately,and the shape characteristics were calculated from the contour images.The shape characteristics of the compound fertilizer,the organic fertilizer,and the biological fertilizer were measured by using the three-dimensional scanning method and the proposed method.The significant difference between the two methods was evaluated by the Grubbs test,F test,and t test.The results showed that there was no significant difference between the two measuring methods of fertilizer shape characteristics.The proposed measuring instrument and method could quickly and accurately measure the fertilizer shape characteristics,which could lay a solid foundation for fertilizer production and quality inspection.

fertilizershape characteristicsmeasuring instrumentmeasuring methodbinocular vision

许珺烁、王敬、王金星、曹鑫鹏、傅生辉、刘双喜、孙林林、张宏建

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山东农业大学机械与电子工程学院,山东 泰安 271018

山东园艺机械设备重点实验室,山东 泰安 271018

山东农业智能装备实验室,山东 泰安 271018

肥料 形状特征 测量仪器 测量方法 双目视觉

国家自然科学基金青年科学基金项目山东省重点研发计划项目国家苹果产业技术体系项目

322016822022CXGC020706CARS-27

2024

农业装备与车辆工程
山东省农业机械科学研究所 山东农机学会

农业装备与车辆工程

影响因子:0.279
ISSN:1673-3142
年,卷(期):2024.62(5)
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