Paper
27 October 2013 Morphology based field rice density detection from rice transplant stage to rice jointing stage
X. D. Bai, Z. G. Cao, Y. Wang, M. N. Ye, Z. H. Yu, Y. N. Li
Author Affiliations +
Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190G (2013) https://doi.org/10.1117/12.2031106
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
X. D. Bai, Z. G. Cao, Y. Wang, M. N. Ye, Z. H. Yu, and Y. N. Li "Morphology based field rice density detection from rice transplant stage to rice jointing stage", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190G (27 October 2013); https://doi.org/10.1117/12.2031106
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KEYWORDS
Image segmentation

Agriculture

Binary data

Image processing

Cameras

Detection and tracking algorithms

Computer vision technology

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