AI RESEARCH
AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding
arXiv CS.CV
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ArXi:2603.16934v1 Announce Type: new The deployment of Multimodal Large Language Models (MLLMs) in agriculture is currently stalled by a critical trade-off: the existing literature lacks the large-scale agricultural datasets required for robust model development and evaluation, while current state-of-the-art models lack the verified domain expertise necessary to reason across diverse taxonomies.