Advanced computational methods for agri-business sustainability:
Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regula...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production.Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals. |
| Beschreibung: | 1 Online-Ressource (391 Seiten) |
| ISBN: | 9798369335840 |
| DOI: | 10.4018/979-8-3693-3583-3 |
Internformat
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| indexdate | 2024-12-17T19:01:34Z |
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| isbn | 9798369335840 |
| language | English |
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| spelling | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (391 Seiten) txt rdacontent c rdamedia cr rdacarrier Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production.Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals. Agriculture Data processing Muduli, Kamalakanta edt Satapathy, Suchismita edt Erscheint auch als Druck-Ausgabe 9798369335833 https://doi.org/10.4018/979-8-3693-3583-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Advanced computational methods for agri-business sustainability Agriculture Data processing |
| title | Advanced computational methods for agri-business sustainability |
| title_auth | Advanced computational methods for agri-business sustainability |
| title_exact_search | Advanced computational methods for agri-business sustainability |
| title_full | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor |
| title_fullStr | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor |
| title_full_unstemmed | Advanced computational methods for agri-business sustainability Kamalakanta Muduli, Suchismita Satapathy, editor |
| title_short | Advanced computational methods for agri-business sustainability |
| title_sort | advanced computational methods for agri business sustainability |
| topic | Agriculture Data processing |
| topic_facet | Agriculture Data processing |
| url | https://doi.org/10.4018/979-8-3693-3583-3 |
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