Exploratory Data Analysis and Supervised Learning in Plant Phenotyping Studies
Authors
Vincenzo Schiano Di Cola
vincenzo.schianodicola@ba.irsa.cnr.it
Water research institute (IRSA), National Research Council (CNR), Bari, Italy
Mariachiara Cangemi
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
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:
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© 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.