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Vision-guided separation of micropro...

Wang, Zhijie.

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Vision-guided separation of micropropagated sugarcane shoots.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Vision-guided separation of micropropagated sugarcane shoots./
作者:	Wang, Zhijie.
面頁冊數:	172 p.
附註:	Source: Dissertation Abstracts International, Volume: 58-07, Section: B, page: 3766.
Contained By:	Dissertation Abstracts International58-07B.
標題:	Engineering, Agricultural. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9802768
ISBN:	9780591524529

Vision-guided separation of micropropagated sugarcane shoots.
Wang, Zhijie.

Vision-guided separation of micropropagated sugarcane shoots. - 172 p.

Source: Dissertation Abstracts International, Volume: 58-07, Section: B, page: 3766.

Thesis (Ph.D.)--The Pennsylvania State University, 1997.

A prototype vision-guided separation mechanism for sugarcane shoots in Stage 2 of the micropropagation process was developed and tested. Micropropagated sugarcane plantlets grown between parallel plates showed two-dimensional structure which greatly simplified shoot identification using machine vision. A machine vision system was used to capture images for shoot identification. The shoot locations identified by the vision system were used to guide a pair of stepper motor-driven x-y tables to separate and transplant shoots. Machine vision algorithms and computer control algorithms were developed, integrated, and tested in the prototype sugarcane shoot separation system.

ISBN: 9780591524529Subjects--Topical Terms:

1019504
Engineering, Agricultural.

Vision-guided separation of micropropagated sugarcane shoots.
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300 $a 172 p.
500 $a Source: Dissertation Abstracts International, Volume: 58-07, Section: B, page: 3766.
500 $a Adviser: Paul H. Heinemann.
502 $a Thesis (Ph.D.)--The Pennsylvania State University, 1997.
520 $a A prototype vision-guided separation mechanism for sugarcane shoots in Stage 2 of the micropropagation process was developed and tested. Micropropagated sugarcane plantlets grown between parallel plates showed two-dimensional structure which greatly simplified shoot identification using machine vision. A machine vision system was used to capture images for shoot identification. The shoot locations identified by the vision system were used to guide a pair of stepper motor-driven x-y tables to separate and transplant shoots. Machine vision algorithms and computer control algorithms were developed, integrated, and tested in the prototype sugarcane shoot separation system.
520 $a The machine vision system provided high quality images for processing and accurate guidance of the mechanism. The shoot identification algorithm developed in previous research was refined in this project, and a higher shoot identification ratio was obtained. The refined algorithm identified 85% of 298 shoots in the test images. The refined algorithm also considered presence of grippers in the images used in actual vision guidance.
520 $a After the shoots were identified by the vision algorithm, they were separated and transplanted by the computer-controlled stepper motor-driven mechanism. Two pneumatic grippers were used in the mechanism with one holding the shoot clump and the other one pulling one shoot apart for each separation. Tests showed that 85% of the identified shoots were separated and transplanted successfully by the mechanism.
520 $a A real-time shoot separation method was proposed after reviewing the performance of the refined shoot identification algorithm and the two shoot separation methods. In the real-time shoot separation, individual shoots within a shoot clump were successfully extracted as straight lines using the Hough transform. Compared with the refined shoot identification method, the Hough transform-based method showed better results. Both shoot identification and separation ratio were increased. Among a total of 258 shoots, about 84% of the shoots were successfully separated.
520 $a In the growth experiment, shoots separated by the mechanism under sterilized conditions were subcultured. There was no significant difference statistically in growth between shoots separated manually and shoots separated by the mechanism, although apparent reduction of average shoot multiplication and dry weight was noticed for shoots separated by the mechanism.
590 $a School code: 0176.
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792 $a 1997
793 $a English
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