A socio-technical agent-based simulation model for predicting smart agriculture adoption dynamics
Yahya S. Alotibi · 2025
Read A socio-technical agent-based simulation model for predicting smart agriculture adoption dynamics by Yahya S. Alotibi (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12696066.txt.
Description
Yahya Alotibi, the solo author, presents a 2025 model for how farmers take up smart farm tools. Old models of this spread lean on fixed math forms. They miss how farmers talk, trust each other, and change their minds over time. That gap leads to weak forecasts and poor plans for rolling out new tools.
His model, AdoptAgriSim, treats each farmer as an agent who learns and reacts. It blends money factors, social ties, and tech traits in one frame. Agents weigh profit against what trusted peers do. Tested on real data from Iowa, Europe, and India, the model hit 94.2 percent accuracy for five-year uptake spans. It also copied real patterns, such as tools clustering in groups and spread driven by peers.
Catalog record
| CREATOR | Yahya S. Alotibi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 160 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |