Systematic Literature Reviews on Artificial Intelligence and Data Analytics in Digital Agriculture
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2025
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| _version_ | 1866901774622785536 |
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| author | Agricultural University of Athens |
| author_facet | Agricultural University of Athens |
| contents | <p>Structured lists of scientific publications relevant to Digital Agriculture technologies for crops of interest (strawberry, wheat)<span lang="EN-GB">. Each list contains metadata about recent relevant scientific publications as well as various types of categorizations (e.g., technologies employed, AI models developed, datasets used, etc.), as derived from the systematic literature reviews performed by the TALLHEDA research teams. </span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17246313 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Systematic Literature Reviews on Artificial Intelligence and Data Analytics in Digital Agriculture Agricultural University of Athens Digital Agriculture, Smart farming, Artificial Intelligence (AI), Machine Learning, Crop monitoring, Strawberry, Wheat, Disease detection, Yield prediction, Remote sensing, IoT sensors, Datasets, Systematic literature review, Agricultural technologies <p>Structured lists of scientific publications relevant to Digital Agriculture technologies for crops of interest (strawberry, wheat)<span lang="EN-GB">. Each list contains metadata about recent relevant scientific publications as well as various types of categorizations (e.g., technologies employed, AI models developed, datasets used, etc.), as derived from the systematic literature reviews performed by the TALLHEDA research teams. </span></p> |
| title | Systematic Literature Reviews on Artificial Intelligence and Data Analytics in Digital Agriculture |
| topic | Digital Agriculture, Smart farming, Artificial Intelligence (AI), Machine Learning, Crop monitoring, Strawberry, Wheat, Disease detection, Yield prediction, Remote sensing, IoT sensors, Datasets, Systematic literature review, Agricultural technologies |
| url | https://doi.org/10.5281/zenodo.17246313 |