# Integrating machine learning and distributionally robust optimization for sustainable agricultural supply chains under global warming uncertainty

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrating-machine-learning-and-distributionally-robust-optimization-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hamed Darouni,Farnaz Barzinpour,Amin Reza Kalantari Khalil Abad |
| Citations | 4 |
| DOI | 10.1016/j.compchemeng.2025.109412 |
| Fields | Business, Management and Accounting,Economics, Econometrics and Finance |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4414400340 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Hamed Darouni](https://scholariq.org/researchers/hamed-darouni/)
- [Farnaz Barzinpour](https://scholariq.org/researchers/farnaz-barzinpour/)
- [Amin Reza Kalantari Khalil Abad](https://scholariq.org/researchers/amin-reza-kalantari-khalil-abad/)

## Paper journal

- [Computers & Chemical Engineering](https://scholariq.org/journals/computers-and-chemical-engineering/)

## Paper primary topic

- [Supply Chain Resilience and Risk Management](https://scholariq.org/topics/supply-chain-resilience-and-risk-management/)

## Paper topics

- [Supply Chain Resilience and Risk Management](https://scholariq.org/topics/supply-chain-resilience-and-risk-management/)
- [Economic and Technological Innovation](https://scholariq.org/topics/economic-and-technological-innovation/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.