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Exploratory Data Analysis and Supervised Learning in Plant Phenotyping Studies Cover

Exploratory Data Analysis and Supervised Learning in Plant Phenotyping Studies

Communications in Applied and Industrial Mathematics
Volume 15 (2024): Issue 2 (October 2024)
By: Vincenzo Schiano Di Cola,  Mariachiara Cangemi,  Simone Scala,  Stephan Summerer,  Maurilia Maria Monti,  Francesco Loreto and  Salvatore Cuomo  
Open Access
|Nov 2024

Authors

Vincenzo Schiano Di Cola

vincenzo.schianodicola@ba.irsa.cnr.it

Water research institute (IRSA), National Research Council (CNR), Bari, Italy

Mariachiara Cangemi

mariachiara.cangemi@unina.it

Department of Biology, University of Naples Federico II, Napoli, Italy
Institute for Sustainable Plant Protection (IPSP) National Research Council (CNR), Napoli, Italy

Simone Scala

Department of Mathematics and Applications “R. Caccioppoli”, University of Naples Federico II, Napoli, Italy

Stephan Summerer

ALSIA Centro Ricerche Metapontum Agrobios, Metaponto, Italy

Maurilia Maria Monti

Institute for Sustainable Plant Protection (IPSP) National Research Council (CNR), Napoli, Italy

Francesco Loreto

Department of Biology, University of Naples Federico II, Napoli, Italy
Institute for Sustainable Plant Protection (IPSP) National Research Council (CNR), Napoli, Italy

Salvatore Cuomo

Department of Mathematics and Applications “R. Caccioppoli”, University of Naples Federico II, Napoli, Italy
DOI: https://doi.org/10.2478/caim-2024-0014 | Journal eISSN: 2038-0909
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Language: English
Page range: 69 - 90
Submitted on: Jul 22, 2024
Accepted on: Oct 21, 2024
Published on: Nov 21, 2024
Published by: Italian Society for Applied and Industrial Mathemathics
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
K-means clustering,
Bayesian classifiers,
Statistical data analysis,
Plant stress response,
Machine learning in plant science
Related subjects:
Mathematics,
Numerical and computational mathematics,
Applied mathematics

© 2024 Vincenzo Schiano Di Cola, Mariachiara Cangemi, Simone Scala, Stephan Summerer, Maurilia Maria Monti, Francesco Loreto, Salvatore Cuomo, published by Italian Society for Applied and Industrial Mathemathics
This work is licensed under the Creative Commons Attribution 4.0 License.

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