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Reseach Article

Development of Cotton Flower Picking Machine based on Machine Vision Technique

by Alakh Patel, Jaymin Bhalani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 42
Year of Publication: 2018
Authors: Alakh Patel, Jaymin Bhalani
10.5120/ijca2018917114

Alakh Patel, Jaymin Bhalani . Development of Cotton Flower Picking Machine based on Machine Vision Technique. International Journal of Computer Applications. 180, 42 ( May 2018), 22-26. DOI=10.5120/ijca2018917114

@article{ 10.5120/ijca2018917114,
author = { Alakh Patel, Jaymin Bhalani },
title = { Development of Cotton Flower Picking Machine based on Machine Vision Technique },
journal = { International Journal of Computer Applications },
issue_date = { May 2018 },
volume = { 180 },
number = { 42 },
month = { May },
year = { 2018 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number42/29412-2018917114/ },
doi = { 10.5120/ijca2018917114 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:03:24.347240+05:30
%A Alakh Patel
%A Jaymin Bhalani
%T Development of Cotton Flower Picking Machine based on Machine Vision Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 42
%P 22-26
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

India is second largest country in production of cotton. But cotton production face problem of harvesting which is currently done by skilled human labour. Now actual problem is that no one wants to work in farm so one should always think about alternative way of harvesting cotton. One approach to solve this problem is by taking help from intelligent machine. Proposed work focused on introduction of image processing into cotton harvesting. Following proposed work contain one system which is combination of motion control and machine vision system by which cotton harvesting is made possible. Machine vision system takes real time image of cotton plant and processes it to find out cotton ball in it followed by mechanical arm which pick cotton from plant. System consider all the parameter like lighting ,background, leaves and other surrounding objects to the cotton plants. System equip with various sensor for movement along the farm. Attempt is to make one miniature model which work exactly like proposed system. This system can also use to harvest different fruits by making little change in image processing algorithm.

References
  1. Wang, Mulan, Jieding Wei, Jianning Yuan, and Kaiyun Xu. "A research for intelligent cotton picking robot based on machine vision." In Information and Automation, 2008. ICIA 2008. International Conference on, pp. 800-803. IEEE, 2008.
  2. Wang, Yong, Xiaorong Zhu, and Changying Ji. "Machine vision based cotton recognition for cotton harvesting robot." In International Conference on Computer and Computing Technologies in Agriculture, pp. 1421-1425. Springer, Boston, MA, 2007.
  3. Wang, Yong, Xiaorong Zhu, Yongxing Jia, and Changying Ji. "Object Recognition on Cotton Harvesting Robot Using Human Visual System." In International Conference on Computer and Computing Technologies in Agriculture, pp. 65-71. Springer, Berlin, Heidelberg, 2011.
  4. Rao, U. S. N. "Design of automatic cotton picking robot with Machine vision using Image Processing algorithms." In Control, Automation, Robotics and Embedded Systems (CARE), 2013 International Conference on, pp. 1-5. IEEE, 2013.
  5. Bhattacharya, Mahua, Medhabi Verma, Vivek Shukla, S. S. Kohli, and P. Rajan. "Expert System Design for Cotton Harvesting Using Shape and Fractal Features." In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), p. 1. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2013.
  6. Li, Yanan, Zhiguo Cao, Hao Lu, Yang Xiao, Yanjun Zhu, and Armin B Cremers. "In-field cotton detection via region-based semantic image segmentation." Computers and Electronics in Agriculture 127 (2016): 475-486.
  7. Chin, Roland T., and Charles R. Dyer "Model-based recognition in robot vision." ACM Computing Surveys (CSUR)18, no. 1 (1986): 67-108.
  8. Sasaki, Hironobu, Naoyuki Kubota, Kousuke Sekiyama, and Toshio Fukuda. "Multiple object detection for intelligent robot vision by using growing neural gas." In Micro-NanoMechatronics and Human Science, 2009 MHS 2009. International Symposium on, pp. 80-85. IEEE, 2009.
  9. Wang, Yong, Ming-xia Shen, and Chang-ying Ji. "Study on the recognition of mature cotton based on the chromatic aberration in natural outdoor scenes." Acta Agriculturae Zhejiangensis 19, no. 5 (2007): 385.
  10. Anjna, Er, and Er Rajandeep Kaur. “Review of Image Segmentation Technique.” International Journal 8, no. 4 (2017).
  11. Wang, Weixin, Duanyang Qu, Benxue Ma, and Yage Wang. “Cotton Top feature identification based on machine vision & image processing.” In Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on, vol. 1, pp. 681-685. IEEE, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Cotton Recognition image segmentation cotton harvesting robot Cotton Picking Machine Smart Harvester.