single-au.php

IJAT Vol.8 No.2 pp. 238-242
doi: 10.20965/ijat.2014.p0238
(2014)

Paper:

Mobile Quality Evaluation Robot for Making Agricultural Products Traceable

Mitsuji Monta and Kazuhiko Namba

Graduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan

Received:
October 6, 2013
Accepted:
January 18, 2014
Published:
March 5, 2014
Keywords:
precision farming, quality evaluation, traceability, agricultural robot, image processing
Abstract
A mobile quality evaluation robot has been developed to make agricultural products traceable. The operator moves the robot along a crop line to harvest fruit. The quality of the harvested fruit is evaluated from images taken by a machine vision system mounted on the robot. At the same time, individual plants from which the fruit was collected are identified from the plant numbers of IC tags attached to every one. A field map with information about fruit quality and yield is created based on these data.
Cite this article as:
M. Monta and K. Namba, “Mobile Quality Evaluation Robot for Making Agricultural Products Traceable,” Int. J. Automation Technol., Vol.8 No.2, pp. 238-242, 2014.
Data files:
References
  1. [1] N. Kondo and K. C. Ting (Eds), “Robotics for Bioproduction Systems,” American Society of Agricultural Engineers, 1998.
  2. [2] N. Kondo, M. Monta, and T. Fujiura, “Fruit Harvesting Robots in Japan,” Advances in Space Research (COSPAR), Vol.18, Issues1-2, pp. 181-184, 1996.
  3. [3] N. Kondo, M. Monta, and T. Fujiura, “Basic Construction of A Robot for Agricultural Use,” Advanced Robotics, Vol.10, No.4, pp. 339-353, 1996.
  4. [4] M. Monta, N. Kondo, K. C. Ting, “End-effectors for Tomato Harvesting Robot,” Artificial Intelligence for Biology and Agriculture, Kluwer Academic Publishers, pp. 11-25, 1998.
  5. [5] N. Kondo and M. Monta, “Chrysanthemum Cutting Sticking Robot System,” J. of Robotics and Mechatronics, Vol.11, No.3, pp. 220-224, 1999.
  6. [6] M. Hayashi, “Automatic Kilking Syatem,” J. of Robotics and Mechatronics, Vol.11, No.3, pp. 225-226, 1999.
  7. [7] Y. Hashimoto, “Agro-Robotics,” J. of Robotics and Mechatronics, Vol.11, No.3, pp. 171-172, 1999.
  8. [8] M.Monta, N. Kondo, S. Arima, and K. Namba, “Robotic Vision for Bioproduction Systems,” J. of Robotics and Mechatronics, Vol.15, No.3, pp. 341-348, 2003.
  9. [9] N. Kondo, K. Yata, M. Iida, T. Shiigi, M. Monta, M. Kurita, and H. Omori, “Development of an End-Effector for a Tomato Cluster Harvesting Robot,” Engineering in Agriculture, Environment and Food, Vol.3, No.1, pp. 20-24, 2010.
  10. [10] H. Kobayashi, T. Aida, and T. Hashimoto, “Muscle Suit Development and Factory Application,” Int. J. of Automation Technology, Vol.3, No.6, pp. 709-715, 2009.
  11. [11] E. Yagi, D. Harada, and M. Kobayashi, “Upper-Limb Power-Assist Control for Agriculture Load Lifting,” Int. J. of Automation Technology, Vol.3, No.6, pp. 716-722, 2009.
  12. [12] N. Kondo, “Underground sensing,” Agricultural Robots – Mechanisms and Practice –, N. Kondo, M. Monta, and N. Noguchi (Eds.), Kyoto University Press, Kyoto, pp. 50-52, 2011.
  13. [13] N. Kondo, “Agri-Vision,” Agricultural Robots – Mechanisms and Practice –, N. Kondo, M. Monta, and N. Noguchi (Eds.), Kyoto University Press, Kyoto, pp. 84-131, 2011.
  14. [14] V. K. Chong, M. Monta, K. Ninomiya, N. Kondo, K. Namba, E. Terasaki, T. Nishi, and T. Goto, “Development of mobile eggplant grading robot for dynamic in-field variability sensing – Manufacture of robot and performance test –,” Engineering in Agriculture, Environment and Food, Vol.1, No.2, pp. 68-76, 2008.
  15. [15] V. K. Chong, M. Monta, K. Ninomiya, N. Kondo, K. Namba, and T. Nishi, “Mobile eggplant grading robot – Trial manufacture of components –,” Proc. of 3rd IFAC Int. Workshop on Bio-Robotics, Information Technology and Intelligent Control for Bioproduction Systems, pp. 249-253, 2006.
  16. [16] J. Qiao, A. Sasao, S. Shibusawa, N. Kondo, and E. Morimoto, “Mapping yield and quality using the mobile fruit grading robot,” Biosystems Engineering, Vol.90, No.2, pp. 135-142, 2004.
  17. [17] Y. Kohno, N. Kondo, M. Iida, M. Kurita, T. Shiigi, Y. Ogawa, T. Kaichi, and S. Okamoto, “Development of a mobile grading machine for citrus fruit,” Engineering in Agriculture, Environment and Food, Vol.4, No.7, pp. 7-11, 2011.
  18. [18] N. Kondo, K. Ninomiya, J. Kamata, V, K, Chong, M. Monta, and K. C. Ting, “Eggplant grading system including rotary tray assisted machine vision whole fruit inspection,” J. of the Japanese Society of Agricultural Machinery, Vol.69, No.1, pp. 68-77, 2007.
  19. [19] V. K. Chong, N. Kondo, K. Ninomiya, T. Nishi, M. Monta, K. Namba, and Q. Zhang, “Features extraction for eggplant fruit grading system using machine vision,” Applied Engineering in Agriculture, Vol.24, No.5, pp. 675-684, 2008.
  20. [20] V. K. Chong, T. Nishi, N. Kondo, K. Ninomiya, M. Monta, K. Namba, Q. Zhang, and H. Shimizu, “Surface gloss measurment on eggplant fruit,” Applied Engineering in Agriculture, Vol.24, No.6, pp. 877-883, 2008.
  21. [21] V. K. Chong, N. Kondo, K. Ninomiya, M. Monta, and K. Namba, “Comparison on eggplant fruit grading between NIR-color camera and color camera,” Proc. of the Automation Technology for Off-Road Equipment 2004, pp. 387-393, 2004.
  22. [22] V. K. Chong, N. Kondo, K. Ninomiya, M. Monta, and K. Namba, “Defects detection of eggplant fruit using multi spectral images,” SICE 2005 proc. (CD-ROM), pp. 2381-2384, 2005.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024