News & Events
Stay informed and engaged with the latest updates, breakthroughs, and community events surrounding the COSA project, your central hub for innovation and collaboration.
COSA at the UTCN Research and Innovation Conference 2026
The COSA project was presented today at the Conferința Cercetării și Inovării UTCN 2026 — the annual research and innovation conference of the Technical University of Cluj-Napoca, held on 21 May 2026 at HUB UTCN, Str. George Barițiu nr. 4-6, Cluj-Napoca. The...
Mapping the Future of Soil: AI & GIS for Dynamic Land Evaluation | COSA Project Research Spotlight (6/6)
Everything in agriculture starts with the land. But how do we accurately measure the true potential of our soil in a constantly changing climate? For our sixth and final Q1 publication highlight from the COSA project, our research team merged spatial geography with...
Nature-Inspired Algorithms: Solving the Farm’s Toughest Routing Puzzles | COSA Project Research Spotlight (5/6)
🧬 Nature-Inspired Algorithms: Solving the Farm's Toughest Routing Puzzles | COSA Project Research Spotlight (5/6) As smart agriculture scales up, so does the complexity of connecting everything efficiently. How do we design the absolute best, most cost-effective...
Defending the Digital Farm: Proactive Cybersecurity for IoT Sensors | COSA Project Research Spotlight (4/6)
As farms become increasingly connected, the sensors monitoring our crops, soil, and machinery become prime targets for cyberattacks. How do we build better defenses for our food systems? By learning exactly how these digital systems fail. For our fourth Q1 publication...
Securing Complex IoT Ecosystems: A Framework for Data Privacy | COSA Project Research Spotlight (3/6)
🔐 Securing Complex IoT Ecosystems: A Framework for Data Privacy | COSA Project Research Spotlight (3/6) As smart agriculture evolves into an interconnected "Internet of Fields," massive amounts of data flow through multiple layers—from ground-level sensors to cloud...
Predicting Precipitation with Deep Learning: AI for Smarter Water Management | COSA Project Research Spotlight (2/6)
Water is agriculture’s most precious resource. In an era of unpredictable climate shifts, knowing exactly when and how much it will rain is the difference between a thriving crop and a failed harvest. For our second Q1 publication highlight from the COSA project, we...
Optimizing Complex Logistics in Smart Agriculture | COSA Project Research Spotlight (1/6)
To build the intelligent farms of the future, we need to solve the complex mathematical puzzles that run behind the scenes. As part of the COSA project, our research team has tackled one of the most critical challenges in logistics and optimization: the Generalized...
COSA Project – Scientific Impact & Excellence in Research: 6 Q1 Journal Publications Published!
We are proud to announce that within the COSA – Collaborative Framework for Smart Agriculture project, our research team has successfully developed and published 6 high-impact scientific papers in Q1 journals! These papers significantly contribute to the advancement...
Congratulations to Emil Marian Pașca on Defending His PhD Thesis!
A huge congratulations to Emil Marian Pașca on successfully defending his PhD thesis! His research represents an important contribution to the COSA project and to the academic community, highlighting dedication, innovation, and scientific excellence. We are truly...
Great vibes at the COSA face-to-face meeting in Baia Mare!
On 14 January, we had the pleasure of hosting an in-person COSA project meeting at CUNBM UTCN, bringing our team together for a productive and inspiring exchange of ideas. All colleagues presented their work and progress, which led to engaging discussions, valuable...
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and Classification
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and ClassificationMara Măcelaru, Petrică C. Pop, Rareș Chiuzbăian, Norbert Kovacs Abstract. Timely and precise detection of plant diseases plays a crucial role in ensuring good agricultural...
Proud to Share Our Team’s Contributions at InnoComp 2025!
During 22–23 October, our colleagues Daniela Delinschi, Emil Pașca, Laura Andreica, Rareș Tamaian, and Bogdan Văduva proudly represented our team by presenting their latest research at the InnoComp 2025 International Conference in Cluj-Napoca. They showcased...
Proud Moment for Our Team at InnoComp 2025!
We're happy to share that our colleague Bogdan Văduva represented our team at the InnoComp Research Project Panel, where he presented the COSA project, focusing on the Bonitation Use Case. His presentation highlighted how innovative digital tools can support...
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land Bonitation
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land BonitationBogdan Văduva, Anca Avram, Oliviu Matei, Laura Andreica, Teodor Rusu Abstract. Traditional land bonitation, the agronomic evaluation of land quality and agricultural potential, often relies...
Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problem
Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problemCosmin Sabo, Petrică C. Pop, Bogdan Teglaș, Adrian Petrovan Abstract. The Clustered Minimum Routing Tree Problem (CluMRTP) is a challenging...
Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case
The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.
Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation
The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.
Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure Index
Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure IndexIonela Chereja, Rudolf Erdei, Daniela Delinschi, Emil Pasca, Anca Avram, Oliviu Matei Abstract. Modern data ecosystems...
A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart Agriculture
A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart AgricultureEmil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Iulia Băărăian, Oliviu Matei Abstract. As farms become increasingly connected, the sensors monitoring crops, soil and machinery become...
COSA Weather Station – Smart Data for Smart Agriculture
As part of the COSA project, we’re using a dedicated agricultural weather station equipped with smart sensors to collect essential field data in real time. The station monitors key environmental parameters, including: Air temperature and humidity Soil moisture...
COSA Project at InnoComp Conference!
We’re excited to announce that the COSA project will be presented at the InnoComp in the research panels sessions! This is a fantastic opportunity to showcase our work in smart agriculture, explore cutting-edge innovations, and engage with researchers and industry...
COSA AGRIQ — Shaping the Future of Smart Agriculture
The COSA AGRIQ platform is an innovative initiative under the COSA project, designed to transform agriculture through the integration of advanced digital technologies such as artificial intelligence and IoT devices. Our team recently completed a preliminary validation...
COSA at the CUNBM Research Workshop
On Wednesday, April 2nd, a research-focused workshop was held in the Senate Hall of CUNBM – UTCN, highlighting both ongoing and recently launched research projects within the university. The event brought together researchers from CUNBM, close collaborators from the...
A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem Architectures
A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem ArchitecturesIonela Chereja, Rudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Oliviu Matei Abstract. As smart agriculture evolves into an interconnected Internet of Fields, massive amounts...