Specialty Crops for Climate Change Adaptation: Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer Nature Switzerland
2023
Cham Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
|
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (XXXI, 813 p. 811 illus., 557 illus. in color) |
| ISBN: | 9783031383991 |
| ISSN: | 2520-1948 |
| DOI: | 10.1007/978-3-031-38399-1 |
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| author | Vuppalapati, Chandrasekar |
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| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
| doi_str_mv | 10.1007/978-3-031-38399-1 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
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| id | DE-604.BV049397206 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:02:47Z |
| indexdate | 2024-08-01T11:05:45Z |
| institution | BVB |
| isbn | 9783031383991 |
| issn | 2520-1948 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034724505 |
| oclc_num | 1409132579 |
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| owner | DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-703 DE-706 DE-739 DE-634 |
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| psigel | ZDB-2-SMA ZDB-2-SMA_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
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| publisher | Springer Nature Switzerland Springer |
| record_format | marc |
| series2 | STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health |
| spellingShingle | Vuppalapati, Chandrasekar Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence Machine Learning Food Security Agriculture Machine learning Food security |
| title | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence |
| title_auth | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence |
| title_exact_search | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence |
| title_exact_search_txtP | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence |
| title_full | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence by Chandrasekar Vuppalapati |
| title_fullStr | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence by Chandrasekar Vuppalapati |
| title_full_unstemmed | Specialty Crops for Climate Change Adaptation Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence by Chandrasekar Vuppalapati |
| title_short | Specialty Crops for Climate Change Adaptation |
| title_sort | specialty crops for climate change adaptation strategies for enhanced food security by using machine learning and artificial intelligence |
| title_sub | Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence |
| topic | Machine Learning Food Security Agriculture Machine learning Food security |
| topic_facet | Machine Learning Food Security Agriculture Machine learning Food security |
| url | https://doi.org/10.1007/978-3-031-38399-1 |
| work_keys_str_mv | AT vuppalapatichandrasekar specialtycropsforclimatechangeadaptationstrategiesforenhancedfoodsecuritybyusingmachinelearningandartificialintelligence |