Wireless Communications Standard Recommendation System Design for Smart Agriculture Applications

Ahmet Yazar; Ayşe Rabia Soylu; Orçun Balatlıoğlu

Makale detayları

Wireless Communications Standard Recommendation System Design for Smart Agriculture Applications

Yazarlar:

Ahmet Yazar | Ayşe Rabia Soylu | Orçun Balatlıoğlu

Yayıncı:

Kirikkale University

Ana Başlıklar:

Decision Support and Group Support Systems

Dergi:

International Journal of Engineering Research and Development Vol.17 Issue 1, pp.92-104

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001339430

pISSN:

1308-5506

Anahtar kelimeler:

Özet:

 After the widespread adoption of industrial agricultural systems, the development of smart farming systems has gained momentum, especially in the last decade. Within the scope of this acceleration, wireless communication systems have assumed a pivotal role in the field of smart agriculture. The realization of the Internet of Things IoT concept in the context of smart farming has become possible in conjunction with next-generation wireless communication systems. Particularly, smart farming applications emerged as a significant use case during the standardization of 5th Generation 5G cellular communication systems. Apart from 5G, there are different wireless transmission standards with advantages that can be leveraged in smart farming systems. In this study, a recommendation decision system has been developed to determine which wireless communication standard would provide higher benefits under various dynamic scenarios, taking into account the dynamic nature of different subsystems desired for smart farming. This approach, developed using machine learning, enables the decision-making process regarding which wireless communication standards can be utilized more effectively in smart farming applications.

 After the widespread adoption of industrial agricultural systems, the development of smart farming systems has gained momentum, especially in the last decade. Within the scope of this acceleration, wireless communication systems have assumed a pivotal role in the field of smart agriculture. The realization of the Internet of Things IoT concept in the context of smart farming has become possible in conjunction with next-generation wireless communication systems. Particularly, smart farming applications emerged as a significant use case during the standardization of 5th Generation 5G cellular communication systems. Apart from 5G, there are different wireless transmission standards with advantages that can be leveraged in smart farming systems. In this study, a recommendation decision system has been developed to determine which wireless communication standard would provide higher benefits under various dynamic scenarios, taking into account the dynamic nature of different subsystems desired for smart farming. This approach, developed using machine learning, enables the decision-making process regarding which wireless communication standards can be utilized more effectively in smart farming applications.

 After the widespread adoption of industrial agricultural systems, the development of smart farming systems has gained momentum, especially in the last decade. Within the scope of this acceleration, wireless communication systems have assumed a pivotal role in the field of smart agriculture. The realization of the Internet of Things IoT concept in the context of smart farming has become possible in conjunction with next-generation wireless communication systems. Particularly, smart farming applications emerged as a significant use case during the standardization of 5th Generation 5G cellular communication systems. Apart from 5G, there are different wireless transmission standards with advantages that can be leveraged in smart farming systems. In this study, a recommendation decision system has been developed to determine which wireless communication standard would provide higher benefits under various dynamic scenarios, taking into account the dynamic nature of different subsystems desired for smart farming. This approach, developed using machine learning, enables the decision-making process regarding which wireless communication standards can be utilized more effectively in smart farming applications.

 Endüstriyel tarım sistemlerinin yaygınlaşmasının ardından özellikle son on yıllık zaman diliminde akıllı tarım sistemlerinin gelişim süreci ivme kazanmıştır. Bu hızlanma kapsamında kablosuz iletişim sistemleri akıllı tarım alanında lokomotif rollerden birini üstlenmiştir. Nesnelerin İnterneti konseptinin akıllı tarım sistemleri açısından da mümkün kılınabilmesi yeni nesil kablosuz iletişim sistemleri ile beraber gerçekleşmiştir. Özellikle 5. Nesil 5G hücresel iletişim sistemlerinin standartlaştırılması sırasında akıllı tarım uygulamaları önemli bir ana senaryo olarak karşımıza çıkmıştır. 5G haricinde akıllı tarım sistemlerinde yararlanılabilecek farklı avantajlara sahip kablosuz iletim standartları vardır. Bu çalışmada, akıllı tarım için kullanılmak istenen farklı alt sistemlerin dinamik yapısı göz önünde bulundurularak hangi durumda hangi kablosuz iletişim standardının daha yüksek fayda getireceğine yönelik bir tavsiye karar sistemi geliştirilmiştir. Makine öğrenmesinden yararlanılarak geliştirilen bu yaklaşım kullanılarak akıllı tarım uygulamalarında hangi kablosuz haberleşme standartlarından daha etkin şekilde yararlanılabileceğine karar verdirilebilmektedir.

Makale detayları

Wireless Communications Standard Recommendation System Design for Smart Agriculture Applications

Yazarlar:

Ahmet Yazar | Ayşe Rabia Soylu | Orçun Balatlıoğlu

Yayıncı:

Kirikkale University

Ana Başlıklar:

Decision Support and Group Support Systems

Dergi:

International Journal of Engineering Research and Development Vol.17 Issue 1, pp.92-104

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001339430

pISSN:

1308-5506

5G

6G

Smart agriculture

Wireless communications

Machine learning

Recommendation system5G

6G

Akıllı tarım

Kablosuz iletişim

Makine öğrenmesi

Tavsiye sistemi

Sayı

Makale detayları

Yazarlar: Ahmet Yazar | Ayşe Rabia Soylu | Orçun Balatlıoğlu

Yayıncı: Kirikkale University

Ana Başlıklar: Decision Support and Group Support Systems

Dergi: International Journal of Engineering Research and Development Vol.17 Issue 1, pp.92-104

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001339430

pISSN: 1308-5506

Sayı

Yazarlar:

Ahmet Yazar | Ayşe Rabia Soylu | Orçun Balatlıoğlu

Yayıncı:

Kirikkale University

Ana Başlıklar:

Decision Support and Group Support Systems

Dergi:

International Journal of Engineering Research and Development Vol.17 Issue 1, pp.92-104

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001339430

pISSN:

1308-5506