What does AI mean for smallholder farmers
A proposal for farmer-centered AI research
Bibliographic Data
| ID | 15323959 |
|---|---|
| Authors | Courtney Heldreth (0000-0002-9921-7247, Google, corresponding author), Diana Akrong (Google), Jess Holbrook (0000-0001-9398-6056, Google), Norman Makoto Su (0000-0001-8765-6579, Indiana University Bloomington) |
| Year | 2021 |
| Volume | 28 |
| Issue | 4 |
| Pages | 56-60 |
| Publication date | 2021-06-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | interactions (JOURNAL) |
| Journal identifiers | ISSN: 1072-5520 • E-ISSN: 1558-3449 |
| Publisher | Association for Computing Machinery (PUBLISHER • US) |
| DOI | 10.1145/3468004 |
| OpenAlex | W3173366626 |
| Language | EN |
| Citations received | 2 |
| References cited | 2 |
Smallholder farmers make up 95 percent of the world's farmers and produce 45 percent of the world's food, 70 percent of which comes from sub-Saharan Africa, Latin America, and Southeast Asia Yet these farmers face challenges including low yields, poverty, food insecurity, climate change, and limited access to shared markets
Citation · Library science · World Wide Web · Computer Science · Innovation and Socioeconomic Development · Innovative Human-Technology Interaction
| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |