Can LLMs improve pest management via multi-agent systems?
PestMA: LLM-based Multi-Agent System for Informed Pest Management
April 15, 2025
https://arxiv.org/pdf/2504.09855This paper introduces PestMA, a multi-agent AI system using Large Language Models (LLMs) to provide expert advice on pest management. It uses an "editorial" workflow with three agents: an Editor (synthesizes advice), a Retriever (gathers external data), and a Validator (checks accuracy). Key to LLM-based multi-agent systems is the specialized roles and collaborative workflow which leads to more accurate and reliable advice than a single LLM. Initial accuracy of 86.8% increases to 92.6% after validation, demonstrating the importance of the multi-agent approach. The system currently relies on online search but future work could integrate more advanced techniques like retrieval-augmented generation.