Wyniki wyszukiwania - BazTech

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Determination of suitableprotected production areas: Lower Euphrates basin case

Saltuk B., Mikail N., Atilgan A., Tanriverdi C.

Infrastruktura i Ekologia Terenów Wiejskich

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2017

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nr II/2

701--714

EN

As a result of the increase in the world population and the decrease in agricultural land, the need for food increases every day. Nowadays, breeding studies are carried out to increase the yield of plants to get more products from the same area. Furthermore, controlled production areas are created by optimizing climatic conditions and the continuity of production is ensured. It is called greenhouse, where production can be carried out throughout the year and the indoor temperature and humidity conditions can be controlled. Nowadays, greenhouses are now functioning as an industrial enterprise. However, greenhouses need to comply with the principles of quality production, efficient income growth and physical environmental protection. Almost all of the plant production in greenhouses in Turkey is done in the Mediterranean region, but in the Southeastern Anatolia Region, it is done in a very limited greenhouse area. The increase of protected agricultural areas in the Mediterranean region and the fact that the production volume cannot reach a certain limit makes it necessary to investigate alternative protected production areas. In this study, climate conditions of Antalya province and climate data of four provinces of the Lower Euphrates basin are compared with each other and statistically compared. As a result of, differences have been found between Antalya province and the provinces in the Lower Euphrates basin in terms of minimum, maximum, and average temperatures. However, there is no difference between the provinces in the basin except for Gaziantep in terms of climatic conditions. Therefore, it has been determined that Gaziantep province is not suitable for greenhouse cultivation. However, it has been concluded that if greenhouse cultivation is performed in this province, it is appropriate to perform cultivation in the areas where alternative energy sources can be used. It has been concluded that in the case that heating costs are reduced using alternative energy sources, Şanlıurfa and Kilis provinces are climatologically suitable for greenhouse cultivation and Adıyaman province is partially suitable for it.

2

Determination of optimum heating and cooling degree-hour values for pepper plant

Atilgan A., Yucel A., Tanriverdi C., Oz H., Tezcan A.

Infrastruktura i Ekologia Terenów Wiejskich

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2017

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nr II/1

457--467

EN

Information on the energy needs of agricultural production activities carried out in any region can be obtained in advance. Many methods are used for this purpose. One of them is a degree-hour method. Kumluca district of Antalya province where pepper cultivation is done intensively was chosen as a study area. The growers prefer autumn production of pepper plants inside the greenhouses in this region. Production starts in early October and last until June. The long-term (1960-2015) thermometer temperatures in the study area were obtained from the Turkish State Meteorological Service. In this study, by using only meteorological data, during each growing season (planting, flowering, pollination, fruit ripening and harvesting) were obtained degree-hour values for the pepper plant and evaluated with Student-t test. Regression coefficients were obtained by correlating heating and cooling degree-hour values with different temperature values which are recommended during the vegetative growing season for the pepper plant. Regression analysis was performed between obtaining heating and cooling degree-hour values (dependent variable) and annual mean heating and cooling degree hour values (independent variable) which are suggested basic temperature values. In conclusion, the regression coefficients were determined as 0.99 for out of greenhouse heating degree-hour and as 0.90-0.99 for cooling degree-hour, respectively. Heating and cooling-hour values were found between 0.96-0.88 and 0.99-0.87, respectively. It was determined that there are very high correlations in the positive direction. According to different growing seasons of pepper, knowing how much less or more of heating and cooling degree-hour values is needed, one can give information in advance in terms of energy consumption or usage. Areas or regions where less energy is to be used can be determined in terms of agricultural production to be done in any region.

3

Comparasion of Crop Water Stress Index (CWSI) and Water Deficit Index (WDI) by using Remote Sensing (RS)

Tanriverdi C., Atilgan A., Degirmenci H., Akyuz A.

Infrastruktura i Ekologia Terenów Wiejskich

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2017

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nr III/1

879--894

EN

Drought, water scarcity and climate changes are very important threats for agriculture on a global basis. Remote Sensing (RS) is accepted as a technique to collect data and determine water stress indices. Water Stress Indices (WSI) are useful tools to prevent drought and determine irrigation scheduling. The water stress indices are primarily identified as the Crop Water Stress Index (CWSI) and the Water Deficit Index (WDI). The effect of soil background is major problem to establish CWSI especially during early growth stage measurements of canopy temperature (Ts). Hence, WDI is a better index when it comprised with CWSI because of Ts. CWSI and WDI can be determined by two different techniques. These are determined by using measured by using traditional components to collect data and estimated methods by applying RS components to collect necessary data. Estimated method has many advantages when this method compared with measured method. However, estimated method needs some RS components which are infrared gun (IR), sling psychrometer, Spectro radiometer. With the help of these tools, the necessary data are obtained and WDI is determined. By using Spectro radiometer vegetation indices are defined. Among the many vegetation indices, the Normalized Difference Vegetation Index (NDVI) is mostly used one. By using NDVI determination of vegetation cover is easy and accurate technique to establish WDI. Establishing these both stress indices with less fieldwork and by saving money, time and labor conveys the necessary information for agriculturists using remotely sensed data especially for large agricultural fields.