Vision-based canopy area measurements

Vision-based canopy area measurements

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 visio...

Full description

Saved in:
Bibliographic Details
Main Authors: Calangian, Xychryz A. Ron P., Gonzales, Justin Yollo C., Hilario, Crizel Aile N., Lopez, John Marcius M., Rulona, Boyd Lemuel E. E., Valencia, Immanuel Jose C., Billones, Robert Kerwin, Loresco, Pocholo James M., Valenzuela, Ira C., Dadios, Elmer Jose P.
Format: text
Published: Animo Repository 2019
Subjects:
Plant canopies—Measurement > Automation
Image processing
Computer vision
Manufacturing
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2454
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3453/type/native/viewcontent
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Description
Summary: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.

Similar Items