東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A vision-based bee counting algorith...

Reka, Sai Kiran,

Linked to FindBook

Google Book

Amazon

博客來

A vision-based bee counting algorithm for electronic monitoring of Langsthroth beehives /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A vision-based bee counting algorithm for electronic monitoring of Langsthroth beehives // Sai Kiran Reka.
Author:	Reka, Sai Kiran,
Description:	1 electronic resource (46 pages)
Notes:	Source: Masters Abstracts International, Volume: 78-02.
Contained By:	Masters Abstracts International78-02.
Subject:	Entomology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10125500
ISBN:	9781339835730

A vision-based bee counting algorithm for electronic monitoring of Langsthroth beehives /
Reka, Sai Kiran,

A vision-based bee counting algorithm for electronic monitoring of Langsthroth beehives /Sai Kiran Reka. - 1 electronic resource (46 pages)

Source: Masters Abstracts International, Volume: 78-02.

An algorithm is presented to count bee numbers in images of Langsthroth hive entrances. The algorithm computes approximate bee counts by adjusting the brightness of the image, cropping a white or green area in the image, removing the background and noise from the cropped area, finding the total number of bee pixels, and dividing that number by the average number of pixels in a single bee. On 1005 images with green landing pads, the algorithm achieved an accuracy of 80 percent when compared to the human bee counting. On 776 images with white landing pads, the algorithm achieved an accuracy of 85% compared to the human bee counting.

English

ISBN: 9781339835730Subjects--Topical Terms:

615844
Entomology.
Subjects--Index Terms:

Beehive

A vision-based bee counting algorithm for electronic monitoring of Langsthroth beehives /
LDR:02160nmm a22004693i 4500 001 2432491
005 20250718090816.5
006 m o d
007 cr|nu||||||||
008 261011s2016 miu||||||m |||||||eng d
020 $a 9781339835730
035 $a (MiAaPQD)AAI10125500
035 $a (MiAaPQD)usu:12226
035 $a AAI10125500
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Reka, Sai Kiran, $e author. $3 3821729
245 1 2 $a A vision-based bee counting algorithm for electronic monitoring of Langsthroth beehives / $c Sai Kiran Reka.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 1 electronic resource (46 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 78-02.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisors: Kulyukin, Vladimir Committee members: Flann, Nicholas; Watson, Dan.
502 $b M.S. $c Utah State University $d 2016.
520 $a An algorithm is presented to count bee numbers in images of Langsthroth hive entrances. The algorithm computes approximate bee counts by adjusting the brightness of the image, cropping a white or green area in the image, removing the background and noise from the cropped area, finding the total number of bee pixels, and dividing that number by the average number of pixels in a single bee. On 1005 images with green landing pads, the algorithm achieved an accuracy of 80 percent when compared to the human bee counting. On 776 images with white landing pads, the algorithm achieved an accuracy of 85% compared to the human bee counting.
546 $a English
590 $a School code: 0241
650 4 $a Entomology. $3 615844
650 4 $a Computer science. $3 523869
650 4 $a Behavioral sciences. $3 529833
653 $a Beehive
653 $a Electronic mointoring
653 $a Forager traffic
653 $a OpenCV
653 $a Raspberry pi
653 $a Vision based detection
690 $a 0353
690 $a 0602
690 $a 0984
710 2 $a Utah State University. $b Computer Science. $e degree granting institution. $3 3821730
720 1 $a Kulyukin, Vladimir $e degree supervisor.
773 0 $t Masters Abstracts International $g 78-02.
790 $a 0241
791 $a M.S.
792 $a 2016
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10125500