dc.contributor.advisor |
Dailey, Matthew N. (Chairperson) |
en_US |
dc.contributor.author |
Jednipat Moonrinta |
en_US |
dc.contributor.other |
Mongkol Ekpanyayong (Member) |
en_US |
dc.contributor.other |
Janecek, Paul (Member) |
en_US |
dc.date.accessioned |
2015-01-12T10:41:22Z |
|
dc.date.available |
2015-01-12T10:41:22Z |
|
dc.date.issued |
2010-05 |
en_US |
dc.identifier.other |
AIT Thesis no.CS-10-04 |
en_US |
dc.identifier.uri |
http://www.cs.ait.ac.th/xmlui/handle/123456789/388 |
|
dc.description |
Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science. |
en_US |
dc.description.abstract |
Through automated agricultural inspection, farmers can potentially achieve better productivity and accurately predict yields and crop quality. The cheapest device for collecting rich
information about a crop is the video camera. This thesis focuses on the design, implementation, and evaluation of algorithms for extracting information about a pineapple crop from a monocular webcam fixed to a mobile inspection platform. The process begins with fruit
detection and tracking in video sequence. I propose a 3D modeling algorithm that works with the tracking history to generate a 3D point cloud for each fruit using structure-from motion techniques in computer vision. The 3D modeling algorithm consists of two main
procedures: 3D point cloud estimation and 3D fruit shape reconstruction. Once the 3D point cloud for a fruit is obtained, the fruit shape reconstruction method estimates the shape and size of the fruit using a robust ellipsoid estimation technique. A series of experiments shows
that the method produces a reasonably accurate 3D field map despite only partial and occluded views of the fruit. The prototype is thus a promising step towards the realization of automated mobile in-field agricultural inspection systems. |
en_US |
dc.description.sponsorship |
Royal Thai Government |
en_US |
dc.language.iso |
eng |
en_US |
dc.publisher |
Asian Institute of Technology |
en_US |
dc.subject |
Agriculture |
en_US |
dc.subject |
Robot |
en_US |
dc.subject |
3D modeling |
en_US |
dc.subject |
Modeling algorithm |
en_US |
dc.subject |
Visualization |
en_US |
dc.subject.lcsh |
Others |
en_US |
dc.title |
3D modeling for agricultural field inspection robot |
en_US |
dc.type |
Thesis |
en_US |
dc.rights.holder |
Copyright (C) 2010 by Asian Institute of Technology. |
en_US |