Greenhouse Site Selection using Geographical Information Sand Multi-Criteria Method: The Case of Aksu

Eda Bostancı; Önder Kabaş; Ercüment Aksoy

Article Details

Greenhouse Site Selection using Geographical Information Sand Multi-Criteria Method: The Case of Aksu

Authors:

Eda Bostancı | Önder Kabaş | Ercüment Aksoy

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Planlamada Coğrafi Bilgi Sistemleri (CBS) | Hassas Tarım Teknolojileri | Sera Teknolojileri

Journal:

Black Sea Journal of Engineering and Science Vol.7 Issue 2, pp.184-195

Document Type:

Article

Publication Date:

3/2024

Document Language:

Turkish

Document ID (Org No.):

2001311277

pISSN:

2619-8991

Keywords:

Abstract:

 Site selection is a complex process in which multiple factors are considered. This study aims to determine suitable areas for greenhouses by using remote sensing RS, geographical information systems GIS and multi-criteria decision MCD methods. Aksu district of Antalya province was selected as the study area because it is the region where greenhouse activities are intensive in Türkiye. Twelve existing criteria slope, aspect, proximity to water, road and population density, soil properties, humidity, precipitation, temperature, insolation intensity, insolation radiation and wind intensity were used to select suitable areas for greenhouses with UA and GIS data collection methods. The criteria weights were obtained by the analytic hierarchy process AHP matrix. Consistency ratio CR and consistency index CI were obtained as 0.067 and 0.099 respectively. The areas within the study area that should be excluded from the selection due to different legal and regulatory requirements were excluded from the study area by masking method. The study area was classified into five classes as Absolutely Unsuitable, Unsuitable, Less Suitable, Suitable, Most Suitable. These areas are 136.51 ha, 751.61 ha, 155.04 ha, 216.41 ha, 411.71 ha respectively. The Most Suitable Area for Greenhouse covers 24.63 of the study area. With the greenhouse site selection determined by the study method, it is possible to minimum the mandatory expenses of the investor such as infrastructure, energy and market. In addition, the fact that the data required for location determination can be updated in the future increases the usability and developability of the proposed model in the future.

 Site selection is a complex process in which multiple factors are considered. This study aims to determine suitable areas for greenhouses by using remote sensing RS, geographical information systems GIS and multi-criteria decision MCD methods. Aksu district of Antalya province was selected as the study area because it is the region where greenhouse activities are intensive in Türkiye. Twelve existing criteria slope, aspect, proximity to water, road and population density, soil properties, humidity, precipitation, temperature, insolation intensity, insolation radiation and wind intensity were used to select suitable areas for greenhouses with UA and GIS data collection methods. The criteria weights were obtained by the analytic hierarchy process AHP matrix. Consistency ratio CR and consistency index CI were obtained as 0.067 and 0.099 respectively. The areas within the study area that should be excluded from the selection due to different legal and regulatory requirements were excluded from the study area by masking method. The study area was classified into five classes as Absolutely Unsuitable, Unsuitable, Less Suitable, Suitable, Most Suitable. These areas are 136.51 ha, 751.61 ha, 155.04 ha, 216.41 ha, 411.71 ha respectively. The Most Suitable Area for Greenhouse covers 24.63 of the study area. With the greenhouse site selection determined by the study method, it is possible to minimum the mandatory expenses of the investor such as infrastructure, energy and market. In addition, the fact that the data required for location determination can be updated in the future increases the usability and developability of the proposed model in the future.

 Site selection is a complex process in which multiple factors are considered. This study aims to determine suitable areas for greenhouses by using remote sensing RS, geographical information systems GIS and multi-criteria decision MCD methods. Aksu district of Antalya province was selected as the study area because it is the region where greenhouse activities are intensive in Türkiye. Twelve existing criteria slope, aspect, proximity to water, road and population density, soil properties, humidity, precipitation, temperature, insolation intensity, insolation radiation and wind intensity were used to select suitable areas for greenhouses with UA and GIS data collection methods. The criteria weights were obtained by the analytic hierarchy process AHP matrix. Consistency ratio CR and consistency index CI were obtained as 0.067 and 0.099 respectively. The areas within the study area that should be excluded from the selection due to different legal and regulatory requirements were excluded from the study area by masking method. The study area was classified into five classes as Absolutely Unsuitable, Unsuitable, Less Suitable, Suitable, Most Suitable. These areas are 136.51 ha, 751.61 ha, 155.04 ha, 216.41 ha, 411.71 ha respectively. The Most Suitable Area for Greenhouse covers 24.63 of the study area. With the greenhouse site selection determined by the study method, it is possible to minimum the mandatory expenses of the investor such as infrastructure, energy and market. In addition, the fact that the data required for location determination can be updated in the future increases the usability and developability of the proposed model in the future.

 Yer seçimi birden çok faktörün ele alındığı karmaşık yapısı olan bir işlemdir. Bu çalışmanın amacı, uzaktan algılama UA, coğrafi bilgi sistemleri CBS ve çok kriterli karar ÇKK metodu kullanılarak sera için uygun alanların belirlenmesidir. Çalışma alanı Türkiyenin seracılık faaliyetlerinin yoğun olduğu bölge olması nedeniyle Antalya ili, Aksu ilçesi seçilmiştir. UA ve CBS veri toplama metotları ile on iki mevcut kriter eğim, bakı, su, yola yakınlık, nüfus yoğunluğuna yakınlık, toprak özellikleri, nem, yağış, sıcaklık, güneşlenme şiddeti, güneşlenme radyasyonu ve rüzgâr şiddeti, uygun alan seçimini gerçekleştirmek için kullanılmıştır. Kriterlerin ağırlıkları, analitik hiyerarşi süreci AHP matrisi ile elde edilmiştir. Tutarlılık oranı CR ve tutarlılık endeksiCI sırasıyla 0,067 ve 0,099 olarak elde edilmiştir. Çalışma alanı içinde farklı yasal ve yönetmelikler gereği seçim dışında kalması gereken alanlar çalışma alanından maskeleme metodu ile dışarı çıkarılmıştır. Çalışma alanı uygun olmayan, az uygun, orta uygun, uygun, en uygun şeklinde beş sınıfa ayrılmıştır. Bu alanlar sırasıyla 136,51 ha, 751,61 ha, 155,04 ha, 216,41 ha, 411,71 hadır. Sera için en uygun alan, çalışma alanının 24.63ünü kapsamaktadır. Çalışma metodu ile belirlenen sera yer seçimi ile yatırımcının altyapı, enerji ve pazar gibi zorunlu giderlerinin minimuma indirilmesi gerçekleştirilebilmektedir. Ayrıca yer belirleme için gerekli olan verilerin gelecekte güncellenebilir özelikte olması önerilen modelin gelecekte kullanılabilirliğini ve gelişebilirliğini artırmaktadır.

Article Details

Greenhouse Site Selection using Geographical Information Sand Multi-Criteria Method: The Case of Aksu

Authors:

Eda Bostancı | Önder Kabaş | Ercüment Aksoy

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Planlamada Coğrafi Bilgi Sistemleri (CBS) | Hassas Tarım Teknolojileri | Sera Teknolojileri

Journal:

Black Sea Journal of Engineering and Science Vol.7 Issue 2, pp.184-195

Document Type:

Article

Publication Date:

3/2024

Document Language:

Turkish

Document ID (Org No.):

2001311277

pISSN:

2619-8991

Greenhouse

Site selection

GIS

Remote sensing

AHP

Multi criteria methodSera

Yer seçimi

CBS

Uzaktan algılama

AHP

Çok kriterli metot

Issues

Article Details

Authors: Eda Bostancı | Önder Kabaş | Ercüment Aksoy

Publisher: Karyay Karadeniz Yayımcılık

Main Topics: Planlamada Coğrafi Bilgi Sistemleri (CBS) | Hassas Tarım Teknolojileri | Sera Teknolojileri

Journal: Black Sea Journal of Engineering and Science Vol.7 Issue 2, pp.184-195

Document Type: Article

Publication Date: 3/2024

Document Language: Turkish

Document ID (Org No.): 2001311277

pISSN: 2619-8991

Issues

Authors:

Eda Bostancı | Önder Kabaş | Ercüment Aksoy

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Planlamada Coğrafi Bilgi Sistemleri (CBS) | Hassas Tarım Teknolojileri | Sera Teknolojileri

Journal:

Black Sea Journal of Engineering and Science Vol.7 Issue 2, pp.184-195

Document Type:

Article

Publication Date:

3/2024

Document Language:

Turkish

Document ID (Org No.):

2001311277

pISSN:

2619-8991