Microservices-based databank for Turkish hazelnut cultivars using IoT and semantic web technologies
Yükleniyor...
Tarih
2024-03-30
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
John Wiley and Sons Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Information and communication technologies (ICTs) can play a crucial role in facilitating access to comprehensive information on the quality standards of Turkish hazelnut cultivars. In this regard, this study introduces a Hazelnut Databank System (HDS) that utilizes the microservices architecture, an integrated software system supported by the Internet of Things (IoT) and semantic web, to categorize Turkish hazelnut cultivars. The study focuses on developing microservices using various programming languages and frameworks. Specifically, C# on the.NET Core Framework was used for both microservices and the web-based application implemented through the ASP.NET Core MVC Framework. Mobile-based software applications were created using Xamarin. Forms, and the IoT application was developed using the Python programming language. The data storage is facilitated through the MS SQL Server database. Additionally, the study incorporates the implementation of a hazelnut species classification system using the DNN + ResNet50 machine learning model, achieving an impressive accuracy rate of 95.77%. The overall usability of the system was evaluated, resulting in a score of 42 out of 50. By providing detailed information on Turkish hazelnut cultivars, the HDS has the potential to greatly improve hazelnut production quality in Turkey and increase awareness of hazelnut agriculture among relevant stakeholders.
Açıklama
Anahtar Kelimeler
Agricultural information dissemination, Hazelnut classification, Hazelnut databank system, Hazelnut shape categorization, Microservices in agriculture, Turkish hazelnut cultivars, Application programs, Classification (of information), Digital storage, Information dissemination, Internet of things, Semantic Web, Agricultural informations, Databanks, Semantic Web technology, Turkishs, Agriculture
Kaynak
Concurrency and Computation: Practice and Experience
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
Cilt
36
Sayı
12
Künye
Aydın, Ş. & Aldara, D. (2024). Microservices-based databank for Turkish hazelnut cultivars using IoT and semantic web technologies. Concurrency and Computation: Practice and Experience, 36(12), 1-19. doi:10.1002/cpe.8062
