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.
Data Quality Assessment Methodology
Data Quality Assessment MethodologyDaniela Delinschi, Rudolf Erdei, Emil Pasca, Oliviu Matei Abstract. High-quality data is a precondition for reliable machine learning, analytics and decision support. This paper introduces a methodology for systematic data quality...
Privacy Assessment Methodology for Machine Learning Models and Data Sources
Privacy Assessment Methodology for Machine Learning Models and Data SourcesRudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Ionela Chereja, Oliviu Matei Abstract. The widespread use of machine learning amplifies privacy risks both at the level of training data...
Aggregation Strategy for Federated Machine Learning Algorithm
Aggregation Strategy for Federated Machine Learning AlgorithmRudolf Erdei, Daniela Delinschi, Iulia Băărăian, Oliviu Matei Abstract. Federated learning allows multiple parties to collaboratively train a model without sharing their raw data, but the quality of the...
Using Markov chains for determining the proximity contagion of smart specialization of localities
Using Markov chains for determining the proximity contagion of smart specialization of localitiesOliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Bogdan Văduva Abstract. Smart specialization strategies depend on understanding how economic specialization...
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with focus on European Union
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with focus on European UnionCarmen Anton, Anca Avram, Oliviu Matei, Laura Andreica, Bogdan Văduva Abstract. Accurate crop yield prediction is a key enabler of...
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...