แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Kanittha Rungyaem. Feature based classification of plant organs from 3D point clouds for plant phenotyping application. Master's Degree(Information and Communication Technology for Embedded System). Kasetsart University. Office of the University Library. : Kasetsart University, 2020.
Feature based classification of plant organs from 3D point clouds for plant phenotyping application
Name: Kanittha Rungyaem
Classification :.LCCS: TA1637
LCSH:
Image processing
LCSH:
Optical data processing
LCSH:
Computer vision
Abstract:
Rice breeding nowadays is high-throughput due to the use of genotyping technologies. It can swiftly test and analyze a large number of samples while maintaining a low level of phenotypic assessment performance due to manual evaluation. As a result, this is the primary impediment to creating new rice types. This study aims to create techniques for automatically categorizing plant organs using 3D point clouds to assess plant morphology or architecture. A 3D laser scan system was used to scan the rice plant. The skeleton skimming approach was used to lower the number of points in the cloud since the number of points in each cloud group is too great. As a result, preprocessing is required before importing into neural networks for categorization. This study employs two classification methods for rice organs: tensor-based classification and PointNet. Experiments have shown the efficacy of PointNet in classifying rice organs in the shortest period.
Kasetsart University. Office of the University Library
Address:
Bangkok
Email:
tdckulib@ku.ac.th
Name: Kanjanapan Sukvichai
Role:
Thesis Advisor
Created:
2020
Modified:
2025-07-17
Issued:
2025-07-17
วิทยานิพนธ์/Thesis
application/pdf
URL: https://www.lib.ku.ac.th/KUthesis/2564/kanittha-run-all.pdf
CallNumber:
TA1637 .K37
eng
DegreeName: Master of Engineering
Level: Master's Degree
Grantor: Kasetsart University
©copyrights Kasetsart University
RightsAccess:
ใช้เวลา
0.021296 วินาที
Kanittha Rungyaem
| Title | Contributor | Type |
|---|---|---|
| Feature based classification of plant organs from 3D point clouds for plant phenotyping application
มหาวิทยาลัยเกษตรศาสตร์ Kanittha Rungyaem | Kanjanapan Sukvichai | วิทยานิพนธ์/Thesis |
Kanjanapan Sukvichai
| Title | Creator | Type and Date Create |
|---|---|---|
| Development of low-level postures and motion embedded controller
มหาวิทยาลัยเกษตรศาสตร์ Kanjanapan Sukvichai ;Rangsarit Vanijjirattikhan;Shoichi Hasegaw | Teeratath Ariyachartphadungkit | วิทยานิพนธ์/Thesis |
| Feature based classification of plant organs from 3D point clouds for plant phenotyping application
มหาวิทยาลัยเกษตรศาสตร์ Kanjanapan Sukvichai | Kanittha Rungyaem | วิทยานิพนธ์/Thesis |
| Development of the indoor map construction system based on the cooperative multi-agent mobile robots
มหาวิทยาลัยเกษตรศาสตร์ Kanjanapan Sukvichai | Chuang, Ming-Hsien | วิทยานิพนธ์/Thesis |
| Soft stuffed robots based stress reduction for insomnia
มหาวิทยาลัยเกษตรศาสตร์ Kanjanapan Sukvichai | Tanapon Kitmuti | วิทยานิพนธ์/Thesis |