Multi-year multi-crop correlation analysis in Brasov area

🧑 Ioana C. Plajer, Alexandra Băicoianu, Matei Debu, Maria Ștefan, Mihai Ivanovici, Corneliu Florea, Adrian Ghinea, Luciana Majercsik
📅 May 2025

Artificial Intelligence (AI) models are currently deployed in smart agriculture for various applications like crop monitoring and identification or yield estimation. AI models rely on huge amounts of data; thus, the first concern is the size and quality of labeled data for training such models. The second main concern is the explainability of the results produced by AI models. In this article, based on the 5-year data set we previously produced and published, we perform a correlation analysis in the attempt of explaining the performance of an AI model in a crop identification scenario.

https://doi.org/10.5194/isprs-archives-XLVIII-M-7-2025-195-2025

Plajer, I.C., Băicoianu, A., Debu, M., Ștefan, M., Ivanovici, M., Florea, C., Ghinea, A. and Majercsik, L., 2025. Multi-year multi-crop correlation analysis in Brasov area. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, pp.195-200.

@article{plajer2025multi,
title={Multi-year multi-crop correlation analysis in Brasov area},
author={Plajer, Ioana C and B{\u{a}}icoianu, Alexandra and Debu, Matei and Ștefan, Maria and Ivanovici, Mihai and Florea, Corneliu and Ghinea, Adrian and Majercsik, Luciana},
journal={The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
volume={48},
pages={195–200},
year={2025},
publisher={Copernicus GmbH}
}