The week's pick
Random Articles
Reseach Article
A Review on in Field Cotton Recognition for Cotton Harvesting Robot based on Image Processing Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 27 |
| Year of Publication: 2018 |
| Authors: Alakh Patel, Jaymin Bhalani |
10.5120/ijca2018916642
|
Alakh Patel, Jaymin Bhalani . A Review on in Field Cotton Recognition for Cotton Harvesting Robot based on Image Processing Technique. International Journal of Computer Applications. 180, 27 ( Mar 2018), 6-8. DOI=10.5120/ijca2018916642
Abstract
India is second largest country in production of cotton but it face problem like harvesting due to lack of skilled human labour. Solution of this problem is to do harvesting using cotton harvesting robots based on machine vision. Image processing technique has become very important in a wide variety of application. In farming is can be used to recognize cotton in field. Various image segmentation techniques are used for this operation. In field cotton recognition is challenging task because cotton plant contain various components like stem, leaves etc. Also open environment gives challenge to recognition task. Camera used to capture image of cotton plant, different camera view, illumination level at time of image capture etc. plays important role in the recognition of cotton in filed. Primary focus is to recognition of cotton in every environmental condition and also every possible mature cotton need to be detected. This review paper will give information about the possible image processing technique for recognition of cotton in field and it give future work done in the same topic.
References
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Chin, Roland T., and Charles R. Dyer "Model-based recognition in robot vision." ACM Computing Surveys (CSUR)18, no. 1 (1986): 67-108.
- 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.
- 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.
- Anjna, Er, and Er Rajandeep Kaur. “Review of Image Segmentation Technique.” International Journal 8, no. 4 (2017).
- 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
Keywords