22 citations · 28 across the 5 of their papers we have counts for
5 papers
Accurate prediction is not profitable advice: profit-based evaluation of machine learning nitrogen recommendations in winter wheat
Xulong Wang, Po Yang
Nitrogen rates for winter wheat are set before the season, under unknown prices and weather. The standard UK advice does not respond to prices, yet recent price swings moved the mo…
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…
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning
Zhipeng Yuan, Nasamu Musa, Katarzyna Dybal +3
Every year, plant parasitic nematodes, one of the major groups of plant pathogens, cause a significant loss of crops worldwide. To mitigate crop yield losses caused by nematodes, a…
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…