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Proceedings Paper

Morphology based field rice density detection from rice transplant stage to rice jointing stage
Author(s): X. D. Bai; Z. G. Cao; Y. Wang; M. N. Ye; Z. H. Yu; Y. N. Li
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Paper Abstract

Rice yield estimation is an important aspect in the agriculture research field. For the rice yield estimation, rice density is one of its useful factors. In this paper, we propose a new method to automatically detect the rice density from the rice transplanting stage to rice jointing stage. It devotes to detect rice planting density by image low-level features of the rice image sequences taken in the fields. Moreover, a rice jointing stage automatic detection method is proposed so as to terminate the rice density detection algorithm. The validities of the proposed rice density detection method and the rice jointing stage automatic detection method are proved in the experiment.

Paper Details

Date Published: 27 October 2013
PDF: 8 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190G (27 October 2013); doi: 10.1117/12.2031106
Show Author Affiliations
X. D. Bai, Huazhong Univ. of Science and Technology (China)
Z. G. Cao, Huazhong Univ. of Science and Technology (China)
Y. Wang, Huazhong Univ. of Science and Technology (China)
M. N. Ye, Huazhong Univ. of Science and Technology (China)
Z. H. Yu, Huazhong Univ. of Science and Technology (China)
Y. N. Li, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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