Title

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

Disciplines

Manufacturing

Keywords

Plant canopies—Measurement--Automation; Image processing; Computer vision

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