AgroMind introduces a 28,482-pair agricultural remote sensing benchmark spanning 13 tasks and 4 ability dimensions, showing current large multimodal models lag on spatial and fine-grained agricultural understanding.
Challenges and opportunities in remote sensing-based crop monitoring: A review,
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Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
AgroMind introduces a 28,482-pair agricultural remote sensing benchmark spanning 13 tasks and 4 ability dimensions, showing current large multimodal models lag on spatial and fine-grained agricultural understanding.