Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia

An adaptive analysis framework (AAF) for controlled environment production (CEP) of tomato was developed. The overall objective was to provide energy efficient strategies for achieving optimal air temperature, relative humidity (RH) and vapor pressure deficit (VPD) in tropical lowland (TL) condition...

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Main Authors: Shamshiri, Ramin, Wan Ismail, Wan Ishak, Ahmad, Desa
Format: Conference or Workshop Item
Language:English
Published: American Society of Agricultural and Biological Engineers (ASABE) 2014
Online Access:http://psasir.upm.edu.my/id/eprint/41151/1/41151.pdf
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author Shamshiri, Ramin
Wan Ismail, Wan Ishak
Ahmad, Desa
author_facet Shamshiri, Ramin
Wan Ismail, Wan Ishak
Ahmad, Desa
author_sort Shamshiri, Ramin
collection UPM
description An adaptive analysis framework (AAF) for controlled environment production (CEP) of tomato was developed. The overall objective was to provide energy efficient strategies for achieving optimal air temperature, relative humidity (RH) and vapor pressure deficit (VPD) in tropical lowland (TL) conditions. The framework database (DB) was built according to peer-reviewed published works on tomato growth response (GR) functions. A case study was carried out in TL Malaysia by collecting sample temperature, RH and light condition (sun, night, cloud) data for 126 days from July to Dec 2013. The framework was used to determine environment responses (ER) at three GR references (GR=0, GR=0.55 and GR=1) for five growth stages (GS). Results showed significant difference between means of ER values in different GS and GR levels, indicating possible savings of energy up to 62% at GS=1, 17% at GS=2 and 30% at GS=3 to 5 in providing ideal climate condition for CEP of tomato.
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spelling upm.eprints-411512015-10-28T02:50:38Z http://psasir.upm.edu.my/id/eprint/41151/ Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia Shamshiri, Ramin Wan Ismail, Wan Ishak Ahmad, Desa An adaptive analysis framework (AAF) for controlled environment production (CEP) of tomato was developed. The overall objective was to provide energy efficient strategies for achieving optimal air temperature, relative humidity (RH) and vapor pressure deficit (VPD) in tropical lowland (TL) conditions. The framework database (DB) was built according to peer-reviewed published works on tomato growth response (GR) functions. A case study was carried out in TL Malaysia by collecting sample temperature, RH and light condition (sun, night, cloud) data for 126 days from July to Dec 2013. The framework was used to determine environment responses (ER) at three GR references (GR=0, GR=0.55 and GR=1) for five growth stages (GS). Results showed significant difference between means of ER values in different GS and GR levels, indicating possible savings of energy up to 62% at GS=1, 17% at GS=2 and 30% at GS=3 to 5 in providing ideal climate condition for CEP of tomato. American Society of Agricultural and Biological Engineers (ASABE) 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/41151/1/41151.pdf Shamshiri, Ramin and Wan Ismail, Wan Ishak and Ahmad, Desa (2014) Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia. In: 2014 ASABE and CSBE/SCGAB Annual International Meeting, 13-16 July 2014, Montreal, Quebec, Canada. .
spellingShingle Shamshiri, Ramin
Wan Ismail, Wan Ishak
Ahmad, Desa
Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia
title Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia
title_full Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia
title_fullStr Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia
title_full_unstemmed Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia
title_short Adaptive analysis framework for controlled environments plant production, case study in tropical lowland Malaysia
title_sort adaptive analysis framework for controlled environments plant production case study in tropical lowland malaysia
url http://psasir.upm.edu.my/id/eprint/41151/1/41151.pdf
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