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

An intelligent subterranean greenhou...

Tennakoon, Mahinsasa.

Linked to FindBook

Google Book

Amazon

博客來

An intelligent subterranean greenhouse using fuzzy logic.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An intelligent subterranean greenhouse using fuzzy logic./
Author:	Tennakoon, Mahinsasa.
Description:	111 p.
Notes:	Source: Masters Abstracts International, Volume: 48-03, page: 1710.
Contained By:	Masters Abstracts International48-03.
Subject:	Engineering, Agricultural. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR55042
ISBN:	9780494550427

An intelligent subterranean greenhouse using fuzzy logic.
Tennakoon, Mahinsasa.

An intelligent subterranean greenhouse using fuzzy logic. - 111 p.

Source: Masters Abstracts International, Volume: 48-03, page: 1710.

Thesis (M.A.Sc.)--The University of Regina (Canada), 2009.

Greenhouses located in extreme climates such as the Canadian prairies only function during warmer months of the year to avoid extreme cold conditions. Improving sustainable production of greenhouse produce with optimal growing conditions in the Canadian Prairies is a challenge. The increasing cost in energy and the tremendous amount of heat loss from poor greenhouse structures restricts the running of a sustainable greenhouse in the prairies.

ISBN: 9780494550427Subjects--Topical Terms:

1019504
Engineering, Agricultural.

An intelligent subterranean greenhouse using fuzzy logic.
LDR:02033nam 2200277 4500 001 1401672
005 20111017084425.5
008 130515s2009 ||||||||||||||||| ||eng d
020 $a 9780494550427
035 $a (UMI)AAIMR55042
035 $a AAIMR55042
040 $a UMI $c UMI
100 1 $a Tennakoon, Mahinsasa. $3 1680820
245 1 3 $a An intelligent subterranean greenhouse using fuzzy logic.
300 $a 111 p.
500 $a Source: Masters Abstracts International, Volume: 48-03, page: 1710.
502 $a Thesis (M.A.Sc.)--The University of Regina (Canada), 2009.
520 $a Greenhouses located in extreme climates such as the Canadian prairies only function during warmer months of the year to avoid extreme cold conditions. Improving sustainable production of greenhouse produce with optimal growing conditions in the Canadian Prairies is a challenge. The increasing cost in energy and the tremendous amount of heat loss from poor greenhouse structures restricts the running of a sustainable greenhouse in the prairies.
520 $a The idea proposed in this thesis is a Fuzzy Logic Control System that is designed for a subterranean or subsurface greenhouse. Using Fuzzy Intelligent Control, parameters such as interior and exterior temperatures, interior and exterior humidity, root temperature, natural light, day-length, ambient carbon dioxide concentration, pH level, root oxygen concentration, and electric conductivity are monitored and can be modified to help maintain ideal conditions required for plant growth. A subterranean (underground) environment is an ideal location, as it is not affected by extreme weather conditions. Geothermal heat from the surrounding earth along with the Fuzzy Intelligent Control System helps maintain an ideal environment that favours efficient growing conditions.
590 $a School code: 0148.
650 4 $a Engineering, Agricultural. $3 1019504
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Artificial Intelligence. $3 769149
690 $a 0539
690 $a 0775
690 $a 0800
710 2 $a The University of Regina (Canada). $3 1017617
773 0 $t Masters Abstracts International $g 48-03.
790 $a 0148
791 $a M.A.Sc.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR55042