Shay Ozer

ORCID: 0000-0001-5752-5703
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About
Contact & Profiles
Research Areas
  • Greenhouse Technology and Climate Control
  • solar cell performance optimization
  • Plant Water Relations and Carbon Dynamics
  • Light effects on plants
  • Photovoltaic Systems and Sustainability
  • Thermal Radiation and Cooling Technologies
  • Photovoltaic System Optimization Techniques
  • Leaf Properties and Growth Measurement
  • Building Energy and Comfort Optimization
  • Postharvest Quality and Shelf Life Management
  • Urban Green Space and Health
  • Irrigation Practices and Water Management
  • Wind and Air Flow Studies
  • Urban Heat Island Mitigation

Agricultural Research Organization
2019-2023

Outdoor recreation is an important issue for people living in areas where they face problems caused by harsh climatic features like the city of Erzurum. The aim this study was to determine favourable tree species, which can grow city, human bioclimatic comfort conditions. For aim, measurements elements (temperature, humidity, and wind) were carried out under different canopies Ataturk University Ata Botanic Garden July August 2008. calculation conditions, one most widely used indices, THI...

10.30955/gnj.000926 article EN Global NEST Journal 2013-04-30

This paper presents the electrical performance of organic photovoltaic modules (OPVs) on top a polyethylene covered greenhouse high tunnel in Mediterranean climate. Modules from previous study were kept and monitored together with new improved connectors installed roof frames adjacent to greenhouse. Measured module power conversion efficiencies ranged 1% 3%. The typical combined output across 105Wh sunny day 81Wh cloudy day. Module burn-in period was about 15 days, losing around 36% its...

10.1080/14786451.2021.2017437 article EN International Journal of Sustainable Energy 2021-12-21

Since leaf temperature (LT) is not a trivial measurement, deep-neural networks (DNN) and machine learning (ML) models were evaluated in this study as tools for estimating foliage temperature. Two DNN methods used. The first used convolutional layers, while the second was based on fully-connected layers trained by cross-validation techniques. K-nearest neighbors (KNN) method LT estimation. All meteorological microclimatic parameters (hereafter referred to features) of examined greenhouses...

10.3390/agriculture12071034 article EN cc-by Agriculture 2022-07-15

Insect-proof screenhouses have become an important component of protected cultivation in mild climates. They are much cheaper than fully climate-controlled greenhouses, and enable the grower to achieve a reasonable yield at good quality. An experimental study was done determine performance different structure shapes on vertical profiles temperature, humidity ratio air velocity central region houses. Effects screenhouse height roof shape (flat versus zigzag) considered. It is shown that, all...

10.17660/actahortic.2018.1227.25 article EN Acta Horticulturae 2018-11-01
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