Vision-based canopy area measurements
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
Publication Date
3-12-2019
Abstract
Canopy area measurement is one of the important crop growth factors that is considered for the crop yield. This has been widely used parameter all over the world. Yet, the development of a system that can automatically computes the canopy area of the crop is still a challenge. In this study, a vision-based system is proposed. The system captures the image of the crop and process this through image processing algorithm. The extracted feature of the image is the pixel count. This pixel count determines the canopy area of the crop. A mathematical model was developed for the approximation of the canopy area. © 2018 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2018.8666251
Recommended Citation
Calangian, X. P., Gonzales, J. C., Hilario, C. N., Lopez, J. M., Rulona, B. E., Valencia, I. C., Billones, R., Loresco, P. M., Valenzuela, I. C., & Dadios, E. P. (2019). Vision-based canopy area measurements. 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018 https://doi.org/10.1109/HNICEM.2018.8666251
Disciplines
Manufacturing
Keywords
Plant canopies—Measurement--Automation; Image processing; Computer vision
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