22 citations · 28 across the 4 of their papers we have counts for
4 papers
Pezego-HITL: A policy-grounded large language model architecture for agricultural extension in Ghana
Shunbao Li, Zhipeng Yuan, Amoako Ofori +5
Large language models are increasingly deployed in agricultural decision-support settings, yet high-stakes crop protection in smallholder agriculture requires more than output-qual…
PestMA: LLM-based Multi-Agent System for Informed Pest Management
Hongrui Shi, Shunbao Li, Zhipeng Yuan +1
Effective pest management is complex due to the need for accurate, context-specific decisions. Recent advancements in large language models (LLMs) open new possibilities for addres…
GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture
Shanglong Yang, Zhipeng Yuan, Shunbao Li +3
In the rapidly evolving field of artificial intelligence (AI), the application of large language models (LLMs) in agriculture, particularly in pest management, remains nascent. We…
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data
Ruoling Peng, Kang Liu, Po Yang +2
Pest identification is a crucial aspect of pest control in agriculture. However, most farmers are not capable of accurately identifying pests in the field, and there is a limited n…