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akaturk Academic measurement

Horizon Europe · Health

Advancing promising results from Pillar II collaborative research through the innovation journey

HORIZON-BRIDGING-2027-02-05 Bridging actions 2027 HORIZON-IA Academics

DeadlineJanuary 28, 2027 not open yet
OpensOctober 20, 2026EU data
StatusForthcomingupdated October 3, 2026

Call summary

From the official text, opening part

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Research and Innovation (R&I) solutions funded under Horizon Europe Pillar II are further advanced along the innovation pathway towards uptake and deployment in the EU and/or Associated Countries, including their translation into high value products, services, processes or business models, strengthening the capacity of European public and private organisations to use innovative solutions. End users [1] and market actors actively co-develop and validate highly innovative solutions in real-world settings, ensuring demand-side needs are integrated, helping to de-risk the innovation journey. The EU and Associated Countries benefit from accelerated commercialisation, adoption and deployment of Horizon Europe results, thereby reinforcing societal benefits, sustainable competitiveness, resilienc… more

AeronauticsAgricultural biotechnologyAgricultural engineering, food safetyAgriculture related to crop production, soil biology and cultivation, applied plant biologyAgriculture, Forestry, and FisheriesAgro-forestryAgroecologyAgroindustryAgronomyAlternative fuelsAnimal and Dairy scienceAnimal healthArchitecture, smart buildings, smart cities, urban engineeringArtificial intelligenceArts (arts, history of arts, performing arts, music)Audiovisual Festivals / Events / Markets / Training - Media

Academics who may be relevant

By subject fit

19
  1. %54
  2. %52
    CİHAT GEDİK
    Araştırma GörevlisiBilecik Şeyh Edebali Üniversitesi

    Shared topics: Smart Agriculture and AI · Remote Sensing in Agriculture · Agricultural Engineering and Mechanization

    Overlapping papers: Evaluation of Plant Residues: Samsun Province (2023)

  3. %50
    CEMALETTİN AKDOĞAN
    Öğretim Görevlisi (ders Vermekle Görevli)Afyon Kocatepe Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: Design and implementation of an AI-controlled spraying drone for agricultural applications using advanced image preprocessing techniques (2024)

  4. %50
    GÜLŞEN AYDIN KESKİN
    ProfesörBalıkesir Üniversitesi

    Shared topics: Agricultural and Rural Development Research

    Overlapping papers: An extensive and systematic literature review for hybrid flowshop scheduling problems (2022)

  5. %49
    YASİN ÇİÇEK
    Öğretim Görevlisi (ders Vermekle Görevli)Afyon Kocatepe Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: Classifying Weed Development Stages Using Deep Learning Methods (2025)

  6. %47
    ÇETİN CEM BÜKÜCÜ
    Doktor Öğretim ÜyesiAmasya Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: A NEW PROTOTYPE THAT PERFORMS REAL-TIME ERROR DETECTION IN GLASS PRODUCTS (2020)

  7. %46
    METİN TUNAY
    ProfesörBartın Üniversitesi

    Shared topics: Agricultural and Rural Development Research · Agriculture and Farm Safety · Remote Sensing in Agriculture

    Overlapping papers: EFFECTS OF SEASONAL CHANGES ON MICROBIAL BIOMASS AND RESPIRATION OF FOREST FLOOR AND TOPSOIL UNDER BORNMULLERIAN FIR STAND (2015) · The investigation of the ergonomics aspects of the noise caused by agricultural tractors used in Turkey (2010)

  8. %45
  9. %44
    FERHAT SADAK
    Doktor Öğretim ÜyesiBartın Üniversitesi

    Shared topics: Microfluidic and Bio-sensing Technologies

    Overlapping papers: Strawberry Ripeness Assessment Via Camouflage-Based Data Augmentation for Automated Strawberry Picking Robot (2022) · A Deep Learning-Based Sensor Modeling for Smart Irrigation System (2022)

  10. %43
    SEVGİ AKTEN KARAKAYA
    Öğretim Görevlisi (uygulamalı Birim)Düzce Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: pycellga: A Python package for improved cellular genetic algorithms (2025)

  11. %43
    ŞENOL ALTAN
    ProfesörAnkara Hacı Bayram Veli Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: Otonom Kara ve Hava Araçları ile Akıllı Tarım: Hasat Optimizasyonu Üzerine Bir Uygulama (2020)

  12. %42
    AYHAN İSTANBULLU
    ProfesörBalıkesir Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: Morphological Analysis Of Blood Cell And Leykemia Diagnosis Based On The Yolo V11 Model And The Neyman-Pearson Hypothesis (2025)

  13. %42
    FARUK AYATA
    Doktor Öğretim ÜyesiVan Yüzüncü Yıl Üniversitesi

    Shared topics: Fungal Biology and Applications

    Overlapping papers: A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis (2026)

  14. %42
  15. %41
  16. %41
    FERİT ÇOBANOĞLU
    ProfesörAydın Adnan Menderes Üniversitesi

    Shared topics: Agricultural and Rural Development Research · Phytochemistry and biological activities of Ficus species

    Overlapping papers: Analysis of the Impact of Sustainability-Based Agricultural Certificates: The Case of Fig Growing in Aydın Provinc (2024) · The Link Between Sustainable Development Goals and Agricultural Production Systems: Türkiye Analysis (2024)

  17. %40
    CANER BALIM
    Doktor Öğretim ÜyesiAfyon Kocatepe Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: A CNN–NCP Based Hybrid Deep Learning Model for Speech-Driven Gender Classification (2026) · Automatic multi-language analysis of SOLID compliance via machine learning algorithms (2026)

  18. %40
    EZGİ ÇOLAK
    Doktor Öğretim ÜyesiBeykoz Üniversitesi

    Shared topics: Urban Agriculture and Sustainability

  19. %40
    MURAT GÖKŞİN BAKIR
    Öğretim Görevlisi (ders Vermekle Görevli)Bahçeşehir Üniversitesi

    Shared topics: Smart Agriculture and AI

    Overlapping papers: Integrating Multiple Methodologies, Segment Anything Model and AlexNet, for Enhanced Accuracy in Garbage Classification (2024)

The fit is computed by code on every request. The call text (title, keywords, start of the official description) is compared with three sources: semantic similarity to the academic profile (50%), shared distinctive terms in YÖKSİS keywords and OpenAlex topics (25%) and publication content — titles, English abstracts and their Turkish translations (25%). Thanks to the translations, Turkish calls also meet papers written in English. Common words weigh little; below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.