Biyosistem Mühendisliği Bölümü
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Browsing Biyosistem Mühendisliği Bölümü by Subject "Greenhouse heating"
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Item An Artificial Neural Network Model for Predicting the Greenhouse Heat Requirement in Adana Climate Conditions(Parlar Scientific Publications (P S P), Angerstr. 12, Freising, Germany, 85354, 2019-09-01) Çaylı, Ali; Kahramanmaraş Sütçü İmam Üniversitesi,Ziraat FakültesiIn addition to the application of modern cultivation techniques and technological solutions, plant quality and yield can be increased through heating in a greenhouse during the cold winter months. Within a greenhouse heating system, the greenhouse heat requirement is the most important parameter for efficient operation. Calculations of the heat requirement should take into consideration the long-term average temperature and the regional climatic conditions. Based on these calculations, the greenhouse heating system power and production costs can be predicted. In this study, an artificial neural network (ANN) model which can be used for planning, feasibility studies, and automation systems was developed to estimate the heat requirement of modern greenhouses. In this model, the performance of the activation and training algorithms was determined with the aim to provide heat requirement estimates that are close to actual consumption values. The fuel consumption data from a commercial greenhouse operation in Adana for the 2015 production year and climatic data from an official meteorological station were used to test the model. By comparing different activation functions and training algorithms, the most suitable algorithm for the model was able to be determined. A total of eight models were then created and their performances compared statistically. As a result, a model that was able to produce estimates that were very close to the actual fuel consumption was developed.Item Analysis of Climate and Vapor Pressure Deficit (VPD) In a Heated Multi-Span Plastic Greenhouse(Journal of Animal & Plant Sciences, 2021-12-01) Çaylı, Ali; Baytorun, A. NafiOne of the most common problems encountered in greenhouse production, i.e., high humidity, provides a favorable environment for the development of various diseases, thereby leading to significant reduction in product quality and quantity. The humidity in a greenhouse for plant growth is expressed via the vapor pressure deficit (VPD), which is an important indicator of the temperature-dependent moisture content of air. In this study, changes in the temperature-dependent relative humidity (RH) and VPD were investigated for a heated greenhouse growing different plants where is located in the Cevdetiye district of Osmaniye province in the Eastern Mediterranean Region in Turkey. For this purpose, VPD values were calculated by measuring the temperature and RH above and below the thermal screen in each compartment of the greenhouse for two months from December 2018 to January 2019, and the relationships between other climate parameters were determined using regression models. The findings revealed significant differences (P <0.01) between the day and night values in all compartments. Pepper, eggplant-cucumber, and tomatoes were grown in three separate greenhouse compartments with the same structural characteristics and heating at night. The number of VPD values lower than the comfort limit was compared with the total number of measurements that were performed hourly. Values of 4.4%, 43.5%, and 36.8% (nighttime) and 3.4%, 23.6%, and 27.3% (daytime) were obtained for the greenhouses containing pepper, eggplant-cucumber, and tomatoes, respectively.