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.
Benefits and limitations of digitalization in managing European Social funded projects
Benefits and limitations of digitalization in managing European Social funded projectsMatei Oliviu, Laura Andreica, Faragău Tudor Abstract. Digitalization is widely promoted as a solution for the administrative complexity of European Social Fund (ESF) projects, yet...
TPC Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest Classification
TPC Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest ClassificationOvidiu Cosma, Laura Cosma Abstract. Tomato crops are affected by a wide variety of diseases and pests that can dramatically reduce both yield and quality. This paper presents...
Enhancing API Security Testing against BOLA and Authentication Vulnerabilities through an LLM-Enhanced Framework
Enhancing API Security Testing against BOLA and Authentication Vulnerabilities through an LLM-Enhanced FrameworkEmil Marian Pasca, Rudolf Erdei, Daniela Delinschi, Oliviu Matei Abstract. Broken Object Level Authorization (BOLA) and authentication-related issues are...
A new vision of social behavior on genetic algorithm performance
A new vision of social behavior on genetic algorithm performanceAndreea Tatar, Nicolae Fat, Adrian Petrovan, Oliviu Matei Abstract. Genetic algorithms (GAs) are typically described in terms of mutation, crossover and selection, but the social dynamics that arise...
A comparative study of different genetic algorithms approaches to capacitated vehicle routing problem for collection of agricultural products
A comparative study of different genetic algorithms approaches to capacitated vehicle routing problem for collection of agricultural productsCosmin Sabo, Natanael Balogh, Petrică C. Pop, Adrian Petrovan Abstract. In this study, we tackle a local collection challenge,...
Using Machine Learning for Identifying the Intrinsic Economic Specializations of Localities
Using Machine Learning for Identifying the Intrinsic Economic Specializations of LocalitiesOliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Faragău Tudor Abstract. Identifying the intrinsic economic specialization of localities is a key step in the design of...