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Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?

Detalles Bibliográficos
Autores principales: Paulus, Stefan, Leiding, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332799/
https://www.ncbi.nlm.nih.gov/pubmed/37434757
http://dx.doi.org/10.34133/plantphenomics.0070
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author Paulus, Stefan
Leiding, Benjamin
author_facet Paulus, Stefan
Leiding, Benjamin
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spelling pubmed-103327992023-07-11 Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks? Paulus, Stefan Leiding, Benjamin Plant Phenomics Perspective AAAS 2023-07-10 /pmc/articles/PMC10332799/ /pubmed/37434757 http://dx.doi.org/10.34133/plantphenomics.0070 Text en Copyright © 2023 Stefan Paulus and Benjamin Leiding https://creativecommons.org/licenses/by/4.0/Exclusive licensee Nanjing Agricultural University. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Paulus, Stefan
Leiding, Benjamin
Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
title Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
title_full Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
title_fullStr Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
title_full_unstemmed Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
title_short Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
title_sort can distributed ledgers help to overcome the need of labeled data for agricultural machine learning tasks?
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332799/
https://www.ncbi.nlm.nih.gov/pubmed/37434757
http://dx.doi.org/10.34133/plantphenomics.0070
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AT leidingbenjamin candistributedledgershelptoovercometheneedoflabeleddataforagriculturalmachinelearningtasks