您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Image processing methods to evaluate tomato and zucchini damage in post-harvest stages

文献类型： 外文期刊

作者： Antonio Alvarez-Bermejo, Jose 1 ; Giagnocavo, Cynthia 2 ; Ming, Li 3 ; Castillo Morales, Encarnacion 4 ; Morales 1 ;

作者机构： 1.Univ Almeria, CeiA3, Dept Informat, Almeria 04120, Spain

2.Univ Almeria, Catedra Chair Coexphal UAL Hort Cooperat Studies, Agr Cooperat Innovat Business Models & ICT Econ V, Almeria, Spain

3.Minist Agr, Beijing Res Ctr Informat Technol Agr, Natl Engn Res Ctr Informat Technol Agr, Natl Engn Lab Agri Prod Qual Traceabil,Key Lab In, Beijing 100097, Peoples R China

4.Fac Ciencias, Dept Elect & Comp Technol, Granada 18071, Spain

关键词： image processing;color space;smartphone;efficient stitching;homography;controlled supervision;artificial vision;embedded parallel processing;injury assessment;traceability;post-harvest control;feature detection

期刊名称：INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING （ 影响因子：2.032； 五年影响因子：2.137 ）

ISSN： 1934-6344

年卷期： 2017 年 10 卷 5 期

页码：

收录情况： SCI

摘要： Through the supply chain, the quality or quality change of the products can generate important losses. The quality control in some steps is made manually that supposes a high level of subjectivity, controlling the quality and its evolution using automatic systems can suppose a reduction of the losses. Testing some automatic image analysis techniques in the case of tomatoes and zucchini is the main objective of this study. Two steps in the supply chain are considered, the feeding of the raw products into the handling chain (because low quality generates a reduction of the chain productivity) and the cool storage of the processed products (as the value at the market is reduced). It was proposed to analyze the incoming products at the head the processing line using CCD cameras to detect low quality and/or dirty products (corresponding to specific farmers/suppliers, it should be asked to improve to maintain the productivity of the line). The second stage is analyzing the evolution of the products along the cool chain (storage and transport), the use of an App developed to be use under Android was proposed to substitute the "visual" evaluation used in practice. The algorithms used, including stages of pre-treatment, segmentation, analysis and presentation of the results take account of the short time available and the limited capacity of the batteries. High performance techniques were applied to the homography stage to discard some of the images, resulting in better performance. Also threads and renderscript kernels were created to parallelize the methods used on the resulting images being able to inspect faster the products. The proposed method achieves success rates comparable to, and improving, the expert inspection.

  • 相关文献

[1]A crop trait information acquisition system with multitag-based identification technologies for breeding precision management. Wang, Kai-yi.

[2]Survey of Support Vector Machine in the Processing of Remote Sensing Image. Li, Su,Wang, Wenchao. 2013

[3]Quick image processing method of HJ satellites applied in agriculture monitoring. Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong,Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong. 2016

[4]Detection of defects on apple using B-spline lighting correction method. Li, Jiangbo,Huang, Wenqian,Guo, Zhiming. 2013

[5]THE INFRARED THERMAL IMAGE-BASED MONITORING PROCESS OF PEACH DECAY UNDER UNCONTROLLED TEMPERATURE CONDITIONS. Jiao, L. Z.,Wu, W. B.,Zheng, W. G.,Dong, D. M.. 2015

[6]MOBILE SMART DEVICE-BASED VEGETABLE DISEASE AND INSECT PEST RECOGNITION METHOD. Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng,Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng. 2013

[7]Detection of early bruises on peaches (Amygdalus persica L.) using hyperspectral imaging coupled with improved watershed segmentation algorithm. Li, Jiangbo,Chen, Liping,Huang, Wenqian,Li, Jiangbo,Chen, Liping,Huang, Wenqian,Li, Jiangbo,Chen, Liping,Huang, Wenqian,Li, Jiangbo,Chen, Liping,Huang, Wenqian. 2018

[8]Design and Implementation of an Automatic Grading System of Diced Potatoes Based on Machine Vision. Wang, Chaopeng,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping. 2016

[9]Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging. Li, Jiangbo,Huang, Wenqian,Tian, Xi,Wang, Chaopeng,Fan, Shuxiang,Zhao, Chunjiang,Li, Jiangbo,Huang, Wenqian,Tian, Xi,Wang, Chaopeng,Fan, Shuxiang,Zhao, Chunjiang,Li, Jiangbo,Huang, Wenqian,Zhao, Chunjiang.

[10]Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier. Zhang, Baohua,Gong, Liang,Zhao, Chunjiang,Liu, Chengliang,Huang, Danfeng,Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang.

[11]Detection of Early Rottenness on Apples by Using Hyperspectral Imaging Combined with Spectral Analysis and Image Processing. Zhang, Baohua,Fan, Shuxiang,Li, Jiangbo,Huang, Wenqian,Zhao, Chunjiang,Qian, Man,Zheng, Ling,Zhang, Baohua,Zhao, Chunjiang.

[12]Optimization of QR code readability in movement state using response surface methodology for implementing continuous chain traceability. Qian, Jianping,Du, Xiaowei,Fan, Beilei,Yang, Xinting,Qian, Jianping,Du, Xiaowei,Fan, Beilei,Yang, Xinting,Zhang, Baoyan.

[13]Real-time Monitoring of Exhaust Fan Operation Status in a Livestock House Using Image Analysis. Luyu Ding,Yang Lv,Qifeng Li,Ligen Yu,Ronghua Gao,Weihong Ma,Qinyang Yu. 2021

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台