Use cases
Use cases of the COSA Project.
Use cases of COSA
The COSA framework is validated through three complementary use cases that cover land evaluation, aerial monitoring and an interactive demonstrator.
Use Case 1 — Crop Yield Prediction & Land Bonitation
Combining soil studies, GIS and machine learning to evaluate land potential and forecast agricultural yields.
Use Case 2 — Aerial Crop Monitoring & Precision Treatment
Using drones and aerial imagery to detect crop conditions and apply precise, targeted treatments.
Use Case 3 — Interactive Demonstrator
Open the COSA Use Case 3 platform in a dedicated environment.
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...
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...