AgroCoT: A Chain-of-Thought Benchmark for Evaluating Reasoning in Vision-Language Models for Agriculture

In three linesAgroCoT is a VQA benchmark with 4,759 Chain-of-Thought samples designed to evaluate reasoning capabilities of Vision-Language Models in agriculture. Evaluation of 30 VLMs (proprietary and open-source) reveals significant gaps in zero-shot reasoning, highlighting the importance of CoT for precision farming applications.

Summary generated by Claude — human-verified