Our Publications

At INTLA-LAB, we are committed to advancing the fields of agriculture and livestock through pioneering research in intelligent applications. This page serves as a comprehensive archive of our scientific output, including peer-reviewed journal articles, book chapters, and conference proceedings. We believe in the power of shared knowledge to drive innovation, and we are pleased to present our contributions to the global scientific community.

INTALALA-LAB, Işık Üniversitesi,

FLOTECH HONEY WORKSHOP The FLOTECH-HONEY National Workshop serves as a premier academic forum dedicated to the intersection of technology, apiculture, and honey production. This event brings together leading researchers, industry experts, and academics to present and discuss the latest innovations, scientific findings, and strategic challenges in the field. Key themes include the application of AI, GIS, and Digital Twin technologies for smart hive management, the ecological impacts of climate change on honey production, and advancements in sustainable beekeeping practices. The proceedings from this workshop, featured below, represent the forefront of scientific research aimed at enhancing the efficiency, sustainability, and resilience of the beekeeping industry in Türkiye and beyond.

2025
- Chemical Hazards in Propolis: Evaluating the Risks of Pesticide and Heavy Metal Contamination
  
  Propolis, a valuable bee product known for its medicinal properties, is susceptible to contamination from environmental pollutants. This research evaluates the risks associated with chemical hazards in propolis, specifically focusing on pesticide residues and heavy metal contamination. Samples from various regions were analyzed to determine the concentration levels of common contaminants. The study assesses the potential health risks for consumers and highlights the importance of monitoring and regulating bee products to ensure their safety and quality.
  
  Selin Alihanoğlu
- Electrophysiological Methods in Insect Olfaction: A Review of EAG, GC-EAG, SSR and GC-SSR Approaches
  
  Understanding insect olfaction is key to developing effective attractants and repellents for pest management and pollinator studies. This paper provides a comprehensive review of principal electrophysiological methods used to study the insect sense of smell. It details the principles, applications, and comparative advantages of Electroantennography (EAG), Gas Chromatography-EAG (GC-EAG), Single Sensillum Recording (SSR), and GC-SSR. This review serves as a valuable resource for researchers in entomology, chemical ecology, and agricultural science.
  
  Neslihan Özsoy, Ekin Varol, Banu Yücel
- Beekeeping Enterprises in Türkiye (2013–2024): National Trends, Regional Clusters, and Inequality Analysis
  
  This study provides a comprehensive socio-economic analysis of beekeeping enterprises in Türkiye over the last decade (2013–2024). The research identifies national trends in honey production, hive numbers, and enterprise scale. Using spatial analysis techniques, it also maps regional clusters of beekeeping activity and investigates the factors driving their formation. Furthermore, an inequality analysis is conducted to understand the distribution of resources and income among beekeepers, offering insights for more equitable and effective agricultural policies.
  
  Ali Özgür Çakmak
- The Samurai Wasp (Trissolcus japonicus): A Biological Control Agent Against the Brown Marmorated Stink Bug (Halyomorpha halys)
  
  The invasive Brown Marmorated Stink Bug (Halyomorpha halys) poses a significant threat to agriculture. This study focuses on the Samurai Wasp (Trissolcus japonicus), a natural parasitoid of the stink bug, as a promising biological control agent. The research evaluates the effectiveness, dispersal patterns, and ecological impact of the Samurai Wasp in Turkish ecosystems. The findings are crucial for developing integrated pest management (IPM) strategies that reduce reliance on chemical pesticides and promote ecological balance in agricultural landscapes.
  
  Gökhan Akdeniz
- NDVI–Honey Production Paradox: A Satellite-Based Assessment of Turkish Beekeeping Regions (2013–2024)
  
  The Normalized Difference Vegetation Index (NDVI), a common measure of vegetation greenness, is often assumed to correlate positively with honey production. This study investigates the "NDVI-Honey Production Paradox" through a satellite-based assessment of major beekeeping regions in Türkiye from 2013 to 2024. The research analyzes whether high NDVI values consistently translate to higher honey yields, considering factors like floral composition and nectar availability, which are not captured by greenness alone. The findings challenge conventional assumptions and highlight the need for more nuanced remote sensing metrics in apiculture.
  
  Hüseyin Deniz
- Towards Sustainable Apiculture: GIS- and AI-Assisted Monitoring of Honey Bees and Floral Resource Networks
  
  The sustainability of apiculture is intrinsically linked to the health of surrounding ecosystems. This research demonstrates the use of Geographic Information Systems (GIS) and Artificial Intelligence (AI) for monitoring honey bees and their floral resource networks. By integrating satellite imagery with AI algorithms, the study maps available forage areas, assesses floral diversity, and models the potential impacts of land-use changes on bee populations. The goal is to develop a decision support tool for sustainable apiary placement and landscape management.
  
  Miray DAYIOĞLU, Tuğçe OLGUN
- Smart Queen Bee Tracking System: QR Code–Based Digital Traceability Application in Queen Production
  
  The genetic quality and origin of queen bees are critical for the productivity and health of honeybee colonies. This study presents a novel system for smart queen bee tracking using QR code-based digital traceability. Each queen bee is assigned a unique QR code that links to a digital record containing its genetic lineage, production date, and health information. This application enhances quality control for breeders and provides beekeepers with reliable data, thereby improving transparency and trust throughout the queen bee supply chain.
  
  İbrahim AKINCI, Gökhan AKDENİZ
- Bee Intelligent: AI-Driven Approaches to Hive and Colony Management
  
  The integration of Artificial Intelligence (AI) offers transformative potential for precision beekeeping. This paper explores various AI-driven approaches for intelligent hive and colony management. Topics include the use of machine learning algorithms for automated monitoring of bee health, swarm prediction using sensor data, and deep learning models for analyzing bee behavior through video feeds. These "Bee Intelligent" systems aim to provide early warnings for disease, pest infestations, and environmental threats, enabling proactive interventions and improving overall colony health.
  
  İpek Ünlüakın
- A Current Research on Beekeeping Optimization Problem
  
  Modern beekeeping is a complex logistical operation that can be modeled as an optimization problem. This study presents current research into developing mathematical and computational models to optimize beekeeping practices. The research focuses on key decision variables such as optimal hive placement, efficient migratory routes for nomadic beekeeping, and resource allocation to maximize honey yield while minimizing operational costs and environmental stress. The goal is to provide beekeepers with data-driven tools for strategic decision-making and enhanced productivity.
  
  Demet Özgür Ünlüakın, Sonya Javadi, Busenur Türkali
- The Regional Impacts of Climate Change on Honey Production in Türkiye
  
  Climate change presents a non-uniform threat to agriculture, with varying impacts across different geographical zones. This research investigates the regional effects of climate change on honey production throughout Türkiye. By analyzing long-term climatic data alongside honey yield statistics, the study identifies regions most vulnerable to shifts in temperature, precipitation patterns, and flowering seasons. The findings aim to inform the development of region-specific adaptation strategies for beekeepers to mitigate risks and ensure the long-term sustainability of apiculture in the face of a changing climate.
  
  Elif Deniz Yelmenoğlu, Gülsüm Çiğdem Çavdaroğlu
- The Impact of Forest Fires on Honey Production: A Province-Level Annual Analysis Using MODIS and Hansen Data
  
  This study provides a comprehensive analysis of the increasing frequency of forest fires in Türkiye and their profound impact on beekeeping efficiency. Utilizing MODIS and Hansen satellite data, a province-level annual analysis was conducted to identify the short, medium, and long-term effects on flora, bee health, and honey production. The research reveals complex and regionally varied effects, with significant findings indicating that large-scale fires lead to considerable declines in honey production in the subsequent year. This is primarily attributed to the loss of nectar resources from the destruction of Pinus brutia forests. The study underscores the critical role of ecological connectivity and proposes data-driven strategies for climate resilience in apiculture
  
  Gülsüm Çiğdem Çavdaroğlu, Elif Deniz Yelmenoğlu
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