OpenAlex
metadata only
CC BY 4.0
Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Artificial Intelligence And Big Data Analytics Capabilities For Enhancing Supply Chain Resilience And Supply Chain Performance: The Mediating Role Of Adaptive Capabilities#397658
- Machine learning-based approaches to identify key drivers and predict severe food insecurity in Africa.#214200
- Generative AI and the Reshaping of the Fashion Industry: A Study on the GAIFM (Generative AI Fashion Model) Framework#693316
- INDUSTRY 4.0 IN THE AGRI-FOOD SECTOR: INNOVATIVE SENSORS AND SMART LOGISTICS TO SUPPORT THE SUSTAINABILITY OF THE SUPPLY CHAIN#262357
- Artificial intelligence for environmental sustainability across sectors: a scoping review and evidence map for nursing and health policy.#334989
Record · ID 686421
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive