Selection of Innovative Technologies in Greenhouse Systems: A Multi-Criteria Approach Based on Patent Data

Yıl 2026, Cilt: 23 Sayı: 2, 755 - 773, 16.03.2026

Ali Kılıç , Hakan Eren , Uğur Göçen

https://doi.org/10.33462/jotaf.1704855

https://izlik.org/JA65EY25WR

Öz

The ever-increasing pace of technological development has led to shorter lifecycles for technological projects, making it crucial for researchers and technology companies to carefully consider when, where, and how much to invest. Moreover, the current trend of technological research and innovation transitioning from within a single sector to a more interdisciplinary and collaborative framework involving multiple companies and groups heightens the necessity for businesses to gather information to identify collaboration areas and potential partners. In this context, for an organization working in a certain field and aiming to innovate, the question of which technologies it should invest in to take its work forward is among the most important problems of innovation today. This study proposes an innovative and objective method for selecting technologies by leveraging patent data, data mining algorithms, and Multi-Criteria Decision-Making (MCDM) techniques. The research focuses on greenhouse technologies, a vital area within agricultural innovation, and uses patent data to identify promising technological directions. Patent records from the European Patent Office (EPO) were collected using a custom software tool that queries patents within the CPC classification Y02A40/25 (Greenhouse Technologies). After cleaning the data, the FP-Growth algorithm was applied to identify frequently co-occurring technology classifications. Five key criteria were used to evaluate these technology pairs: support value (frequency), average patent age, average forward citations, average backward citations, and the average patent strength of leading applicant companies. Using the Entropy Weight method, objective weights were assigned to each criterion. The TOPSIS method was then applied to rank the identified technology pairs in terms of their overall suitability for investment and innovation. The results indicated that greenhouse cultivation (A01G9), hydroponic farming (A01G31), plant processing (A01G7), agriculture-related technologies (Y02P60), and business-specific software systems (G06Q50) are the most strategic areas for innovation. Notably, the inclusion of G06Q50 underscores the growing importance of software and digital infrastructure in greenhouse innovation. This suggests that companies aiming to advance in this field should not only enhance their core greenhouse technologies but also invest in complementary software and algorithmic solutions. In conclusion, the study presents a novel framework for technology selection that can guide R&D investment decisions using patent data, especially in sectors where innovation plays a critical role.

Anahtar Kelimeler

Technology selection , Greenhouse technologies , Patent analysis , Multi-Criteria Decision Making , FP-Growth , Entropy weight

Etik Beyan

There is no need to obtain permission from the ethics committee for this study.

Sera Sistemlerinde Yenilikçi Teknoloji Seçimi: Patent Verilerine Dayalı Çok Kriterli Bir Yaklaşım

https://izlik.org/JA65EY25WR

Öz

Teknolojik gelişmelerin artan hızı, teknolojik projelerin yaşam döngülerini kısaltmış ve bu durum, araştırmacılar ile teknoloji şirketlerinin ne zaman, nerede ve hangi ölçüde yatırım yapacaklarını titizlikle planlamalarını zorunlu kılmıştır. Teknolojik araştırma ve inovasyonun disiplinler arası ve çok paydaşlı bir yapıya yönelmesi, işletmelerin iş birliği alanlarını ve potansiyel ortaklarını belirlemek amacıyla kapsamlı veri toplama ihtiyacını artırmaktadır. Bu bağlamda, belirli bir alanda çalışan ve yenilik yapmayı hedefleyen bir organizasyon için, çalışmalarını ileriye taşımada, hangi teknolojilere yatırım yapması gerektiği sorusu, günümüz inovasyonunun en önemli sorunları arasındadır. Bu çalışma, patent verileri, veri madenciliği algoritmaları ve çok kriterli karar verme (ÇKKV) tekniklerinden yararlanarak teknolojilerin seçilmesi için yenilikçi ve nesnel bir yöntem önermektedir. Araştırma, tarımsal inovasyon içinde hayati bir alan olan sera teknolojilerine odaklanmakta ve gelecek vaat eden teknolojileri belirlemek için patent verilerini kullanmaktadır. Patent verileri, özel bir yazılım aracı kullanılarak Avrupa Patent Ofisi'nden (EPO) alınmıştır. CPC sınıflandırması Y02A40/25 (Sera Teknolojileri) içindeki patentler sorgulanmıştır. Veriler temizlendikten sonra, sıklıkla birlikte görülen teknoloji sınıflandırmalarını belirlemek için FP-Büyüme algoritması uygulanmıştır. Bu teknoloji çiftlerini değerlendirmek için beş temel ölçüt: destek değeri (frekans), ortalama patent yaşı, ortalama ileri atıflar, ortalama geri atıflar ve önde gelen başvuru şirketlerinin ortalama patent gücü kullanılmıştır. Entropi Ağırlığı yöntemi kullanılarak, her ölçüte nesnel ağırlıklar atanmıştır. Belirlenen teknoloji çiftleri, yatırım ve inovasyon için genel uygunlukları açısından TOPSIS yöntemi ile sıralanmıştır. Sonuçlar, sera yetiştiriciliğinin (A01G9), hidroponik çiftçiliğin (A01G31), bitki işlemenin (A01G7), tarımla ilgili teknolojilerin (Y02P60) ve işletmeye özgü yazılım sistemlerinin (G06Q50) inovasyon için en stratejik alanlar olduğunu göstermiştir. Özellikle, G06Q50'nin dahil edilmesi, sera inovasyonunda yazılım ve dijital altyapının artan önemini vurgulamaktadır. Bu, alanda ilerlemeyi hedefleyen şirketlerin yalnızca temel sera teknolojilerini geliştirmekle kalmayıp aynı zamanda tamamlayıcı yazılım ve algoritmik çözümlere de yatırım yapmaları gerektiğini göstermektedir. Sonuç olarak, çalışma, özellikle inovasyonun kritik bir rol oynadığı sektörlerde, patent verilerini kullanarak Ar-Ge yatırım kararlarına rehberlik edebilecek teknoloji seçimi için yeni bir çerçeve sunmaktadır.

Anahtar Kelimeler

Teknoloji seçimi , Sera teknolojileri , Patent analizi , Çok kriterli karar verme , FP-Büyüme algoritması , Entropi ağırlığı

Etik Beyan

There is no need to obtain permission from the ethics committee for this study.

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