Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5076392844
ORCID evidence
Observed aliases (1)
- Adewale Isaac Olutumise (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Other: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Adoption Rate: 1 paper
- Research Productivity: 1 paper
- Consumer Welfare: 1 paper
- Employment: 1 paper
- Firm Revenue: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI agritech can substantially boost smallholder outcomes—raising yields by double‑digit percentages and cutting input costs—but gains are uneven and hinge on connectivity, local skills and supportive regulation.openalex | Adewale Isaac Olutumise orcid |
2026-03-09 | 4 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 4 cumulative citations. This is a coverage summary, not an author score or h-index.