AI RESEARCH
AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in Agriculture
arXiv CS.CV
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ArXi:2605.22366v1 Announce Type: new Agricultural decision-making increasingly requires multimodal systems that can transform visual observations into reliable, executable actions. However, existing agricultural multimodal benchmarks mainly evaluate final-answer correctness and provide limited for assessing whether models can use external tools to complete precision-sensitive workflows. In this paper, we