Pezego-HITL: A Policy-Grounded LLM Architecture for Agricultural Extension in Ghana

Jul 16, 2026

Researchers present Pezego-HITL, a policy-grounded large language model (LLM) architecture designed for agricultural decision support in Ghana. Evaluated using the P-EVAL protocol on a simulated field query database, the system achieves a Policy Alignment Rate of 0.94 and reduces latency by 55% through memory routing and caching. The architecture's practical utility and socio-technical integration were further assessed via questionnaires with extension officers and smallholder farmers.

Why it matters: This work provides a scalable and explicit framework for deploying LLMs in high-stakes agricultural settings, balancing safety, utility, and latency for smallholder farming systems.

Full story at: arXiv Multiagent Systems ↗