Agnieszka Chojka

Orcid: 0000-0002-9567-1848

According to our database1, Agnieszka Chojka authored at least 9 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture.
Comput., 2025

Democratizing IoT for Smart Irrigation: A Cost-Effective DIY Solution Proposal Evaluated in an Actinidia Orchard.
Algorithms, 2025

Determining the Geographical Origin of Wine: A Short Survey of Methods and Insights.
Proceedings of the CENTERIS 2025 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2025

AI Agent-Based Sensor Monitoring for IoT-Enabled Precision Agriculture: A Case Study in Workflow Automation.
Proceedings of the CENTERIS 2025 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2025

AI-Powered Grape Cluster Detection in Vineyards: A Systematic Review from Image Analysis to Business Process Optimization in Smart Viticulture.
Proceedings of the CENTERIS 2025 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2025

Model-as-a-Service for Sustainable Viticulture: A Comprehensive Science-Driven Decision Support Platform.
Proceedings of the CENTERIS 2025 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2025

2024
Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery.
Comput. Electron. Agric., 2024

2021
Deep Learning for RFI Artifact Recognition in Sentinel-1 Data.
Remote. Sens., 2021

2020
RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques.
Sensors, 2020


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