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EN
OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS
Abstract
This study is based on the analysis of 2,077 messages shared within the first four months of 2025 in a large WhatsApp group comprising landscape plant producers and marketers across Türkiye. The participants include stakeholders from various regions, including growers, contractors, and sellers. The aim of this study is to observe how producers present plant quality in digital communication platforms and to extract a data structure that can inform the QPlantScore quality classification system. Plant names, size, pot volume, and quality-related expressions in the messages were coded through content analysis. Repetitive listings and regional information were also examined for representational distribution. The most frequently mentioned species included Leylandii, Cypress, Laurel, and Thuja. Quality descriptors such as "dense form", "first-class", and "premium" appeared frequently, indicating a lack of standard terminology. The findings highlight the need for a standardized classification system and demonstrate the potential of social messaging data for market-oriented horticultural research.
Keywords
Supporting Institution
This study was supported by the TÜBİTAK 2219 International Postdoctoral Research Fellowship Program and was conducted in coordination with the QPlantScore project at Osnabrück University of Applied Sciences in Germany.
Ethical Statement
As no direct survey or interview methods requiring ethical approval were employed, no ethics committee application was necessary. All data were obtained from a publicly accessible digital group of producers, and only publicly shared content was analyzed.
Thanks
We extend our sincere thanks to all academics and staff members at the affiliated institutions who supported this work. We also gratefully acknowledge the indirect contributions of all producers and practitioners participating in the analyzed WhatsApp group
References
- BdB (2022). Qualitätsstandards für Baumschulpflanzen. Bund deutscher Baumschulen.
- ENA European Nurserystock Association. (2010). European Technical & Quality Standards for Nurserystock. European Nurserystock Association
- Kara, A. (2018). Yeni İletişim Ortamlarında Pazarlama Faaliyetlerinin Kullanımı ile ilgili İçerik Analizi: Türk Organik Tarım Sektörü Örnek Olayı, İşletme Ekonomi Ve Yönetim Araştırmaları Dergisi, 1(1), 17-33.
- QPlantScore (2025). Quality classification system for landscape plants. Access date: 01.05.2025, https://www.qplantscore.com
- Tarımsal Araştırmalar ve Politikalar Genel Müdürlüğü, TAGEM, (2019). Süs bitkileri sektör politikaları raporu. Access date: 02.05.2025. https://www.tarimorman.gov.tr/TAGEM/Belgeler/yayin/SÜS%20BİTKİLERİsektörpolitika%20.pdf
Details
Primary Language
English
Subjects
Plant Material and Growing
Journal Section
Research Article
Authors
Publication Date
June 30, 2025
Submission Date
May 12, 2025
Acceptance Date
June 26, 2025
Published in Issue
Year 2025 Volume: 7 Number: 1
APA
Dogan, Y. E., & Küçükerbaş, E. V. (2025). OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS. JOURNAL OF LANDSCAPE RESEARCH AND PRACTICES (JOLARP), 7(1), 21-26. https://doi.org/10.56629/paud.1694327
AMA
1.Dogan YE, Küçükerbaş EV. OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS. JOLARP. 2025;7(1):21-26. doi:10.56629/paud.1694327
Chicago
Dogan, Yusuf Evren, and Erhan Vecdi Küçükerbaş. 2025. “OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS”. JOURNAL OF LANDSCAPE RESEARCH AND PRACTICES (JOLARP) 7 (1): 21-26. https://doi.org/10.56629/paud.1694327.
EndNote
Dogan YE, Küçükerbaş EV (June 1, 2025) OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS. JOURNAL OF LANDSCAPE RESEARCH AND PRACTICES (JOLARP) 7 1 21–26.
IEEE
[1]Y. E. Dogan and E. V. Küçükerbaş, “OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS”, JOLARP, vol. 7, no. 1, pp. 21–26, June 2025, doi: 10.56629/paud.1694327.
ISNAD
Dogan, Yusuf Evren - Küçükerbaş, Erhan Vecdi. “OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS”. JOURNAL OF LANDSCAPE RESEARCH AND PRACTICES (JOLARP) 7/1 (June 1, 2025): 21-26. https://doi.org/10.56629/paud.1694327.
JAMA
1.Dogan YE, Küçükerbaş EV. OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS. JOLARP. 2025;7:21–26.
MLA
Dogan, Yusuf Evren, and Erhan Vecdi Küçükerbaş. “OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS”. JOURNAL OF LANDSCAPE RESEARCH AND PRACTICES (JOLARP), vol. 7, no. 1, June 2025, pp. 21-26, doi:10.56629/paud.1694327.
Vancouver
1.Yusuf Evren Dogan, Erhan Vecdi Küçükerbaş. OBSERVATIONAL RESEARCH BASED ON SOCIAL MESSAGING DATA TOWARDS QUALITY CLASSIFICATION IN LANDSCAPE PLANTS. JOLARP. 2025 Jun. 1;7(1):21-6. doi:10.56629/paud.1694327