Numerical investigation for effects of natural light and ventilation on 3D tomato body heat distribution in a Venlo greenhouse
| dc.contributor.author | Yu, Guanghui | |
| dc.contributor.author | Zhang, Shanhong | |
| dc.contributor.author | Li, Shuai | |
| dc.contributor.author | Zhang, Minshu | |
| dc.contributor.author | Benli, Huseyin | |
| dc.contributor.author | Wang, Yang | |
| dc.date.accessioned | 2026-08-12T18:07:48Z | |
| dc.date.issued | 2023 | |
| dc.department | Fırat Üniversitesi | |
| dc.description.abstract | Maintaining suitable temperature level around tomato in the greenhouse is essential for the high-quality production. However, in summer, the temperature level around the tomato is usually unclear except using a high-precision temperature imager. To solve this problem, thermal performance of 3D (three-dimensional) tomato model built based on SolidWorks was investigated by the computational fluid dynamics (CFD) simulations. To assess the effect of temperature distribution around the tomato, a simplified 3D tomato numerical model was firstly validated by a set of field measurement data. The light intensity and indoor ventilation were regarded as the mainly environment factors in the Venlo greenhouse, thermal stratification around tomatoes at different time of day was further studied. The numerical results illustrated the different temperature distribution around tomato body under different radiation intensity. It was found that ventilation could obviously adjust the temperature gradient around the tomato, and alleviate high temperature effect particularly in summer. Suitable ventilation could create a suitable thermal environment for the tomato growth. This study clearly demonstrated 3D temperature distribution around tomatoes, which is beneficial to provide the reference for accurate detection of 3D tomato temperature and appropriate thermal environment design. (c) 2022 China Agricultural University. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/). | |
| dc.description.sponsorship | Science and Technology Cooperation - Sino-Malta Fund 2019: Research and Demonstration of Real-time Accurate Monitoring System for Early-stage Fish in Recirculating Aquaculture System (AquaDetector) [2019YFE0103700]; Overseas High-level Youth Talents Program (China Agricultural University, China) [62339001]; China Agricultural University Excellent Talents Plan [31051015]; Major Science and Technology Innovation Fund 2019 of Shandong Province [2019JZZY010703]; National Innovation Center for Digital Fishery; Beijing Engineering and Technology Research Center for Internet of Things in Agriculture | |
| dc.description.sponsorship | This research was financially supported by Science and Technology Cooperation - Sino-Malta Fund 2019: Research and Demonstration of Real-time Accurate Monitoring System for Early-stage Fish in Recirculating Aquaculture System (AquaDetector, Grant No. 2019YFE0103700), Overseas High-level Youth Talents Program (China Agricultural University, China, Grant No. 62339001), China Agricultural University Excellent Talents Plan (Grant No. 31051015) , Major Science and Technology Innovation Fund 2019 of Shandong Province (Grant No. 2019JZZY010703), National Innovation Center for Digital Fishery, and Beijing Engineering and Technology Research Center for Internet of Things in Agriculture. The authors also appreciate constructive and valuable comments provided by reviewers. | |
| dc.identifier.doi | 10.1016/j.inpa.2022.05.006 | |
| dc.identifier.endpage | 546 | |
| dc.identifier.issn | 2214-3173 | |
| dc.identifier.issue | 4 | |
| dc.identifier.orcid | 0000-0001-6068-6727 | |
| dc.identifier.orcid | 0000-0002-4057-8750 | |
| dc.identifier.scopus | 2-s2.0-85136306129 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 535 | |
| dc.identifier.uri | https://doi.org/10.1016/j.inpa.2022.05.006 | |
| dc.identifier.uri | https://hdl.handle.net/11508/62844 | |
| dc.identifier.volume | 10 | |
| dc.identifier.wos | WOS:001114431300001 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.ispartof | Information Processing in Agriculture | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | CFD | |
| dc.subject | 3D Tomato body | |
| dc.subject | Heat distribution | |
| dc.subject | Greenhouse environment | |
| dc.subject | Growth condition | |
| dc.title | Numerical investigation for effects of natural light and ventilation on 3D tomato body heat distribution in a Venlo greenhouse | |
| dc.type | Article |







