dc.contributor.author |
Soufi, Mohammed |
|
dc.contributor.author |
Zahi, Abdelhadi |
|
dc.date.accessioned |
2024-12-09T09:20:03Z |
|
dc.date.available |
2024-12-09T09:20:03Z |
|
dc.date.issued |
2024 |
|
dc.identifier.uri |
https://dspace.univ-ghardaia.edu.dz/xmlui/handle/123456789/8927 |
|
dc.description.abstract |
This research uses various named agricultural methods to modify the environment for
plant growth. Ideally, crops will be produced in areas that do not require particularly
favorable climatic and environmental conditions, but the temperature and relative
humidity conditions are adjusted to be optimal. This research work aims to design and
operate two tunnel greenhouses, which have been prepared to be capable of studying
their thermal behavior with and without cooling systems. The first one, without cooling
systems, will serve as a control greenhouse, while the second will be modified to test
the effect of cooling systems and any reported modifications. |
EN_en |
dc.publisher |
université Ghardaia |
EN_en |
dc.subject |
tunnel greenhouse; natural cooling; natural and forced ventilation; solar energy. |
EN_en |
dc.subject |
serre tunnel ; refroidissement naturel ; ventilation naturelle et forcée ; énergie solaire. |
EN_en |
dc.title |
Forecasting the 2022–2023 Indoor Greenhouse Temperature Using artificial Intelligence |
EN_en |
dc.type |
Thesis |
EN_en |