How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses
This publication is intended for scientists, technicians, and decision-makers who want to start using machine learning (ML) in their projects. It provides an overview of the factors that should be considered when employing ML applications with time series (TS) data as input. Written by Eduart Murci...
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| Format: | Article |
| Language: | English |
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The University of Florida George A. Smathers Libraries
2024-01-01
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| Series: | EDIS |
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| Online Access: | https://journals.flvc.org/edis/article/view/134471 |
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| _version_ | 1825199189804449792 |
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| author | Eduart Murcia Botache Sandra Guzman |
| author_facet | Eduart Murcia Botache Sandra Guzman |
| author_sort | Eduart Murcia Botache |
| collection | DOAJ |
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This publication is intended for scientists, technicians, and decision-makers who want to start using machine learning (ML) in their projects. It provides an overview of the factors that should be considered when employing ML applications with time series (TS) data as input. Written by Eduart Murcia and Sandra M. Guzmán, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2024.
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| format | Article |
| id | doaj-art-abb539bc0fdb4569a4ccd79013870b96 |
| institution | Kabale University |
| issn | 2576-0009 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | The University of Florida George A. Smathers Libraries |
| record_format | Article |
| series | EDIS |
| spelling | doaj-art-abb539bc0fdb4569a4ccd79013870b962025-02-08T05:40:26ZengThe University of Florida George A. Smathers LibrariesEDIS2576-00092024-01-0120241How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental AnalysesEduart Murcia Botache0https://orcid.org/0000-0002-7862-0926Sandra Guzman1https://orcid.org/0000-0003-0735-7179University of FloridaUniversity of Florida This publication is intended for scientists, technicians, and decision-makers who want to start using machine learning (ML) in their projects. It provides an overview of the factors that should be considered when employing ML applications with time series (TS) data as input. Written by Eduart Murcia and Sandra M. Guzmán, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2024. https://journals.flvc.org/edis/article/view/134471Machine Learningagriculture datadata collectiondata |
| spellingShingle | Eduart Murcia Botache Sandra Guzman How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses EDIS Machine Learning agriculture data data collection data |
| title | How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses |
| title_full | How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses |
| title_fullStr | How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses |
| title_full_unstemmed | How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses |
| title_short | How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses |
| title_sort | how to identify if your time series inputs are adequate for ai applications assessing minimum data requirements in environmental analyses |
| topic | Machine Learning agriculture data data collection data |
| url | https://journals.flvc.org/edis/article/view/134471 |
| work_keys_str_mv | AT eduartmurciabotache howtoidentifyifyourtimeseriesinputsareadequateforaiapplicationsassessingminimumdatarequirementsinenvironmentalanalyses AT sandraguzman howtoidentifyifyourtimeseriesinputsareadequateforaiapplicationsassessingminimumdatarequirementsinenvironmentalanalyses |