CropVLM is a domain-adapted vision-language model that achieves 72.51% zero-shot crop classification accuracy and superior open-set detection performance on novel species without retraining.
CropDeep: The crop vision dataset for deep-learning-based classification and 37 detection in precision agriculture.Sensors, 19(5):1058
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CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis
CropVLM is a domain-adapted vision-language model that achieves 72.51% zero-shot crop classification accuracy and superior open-set detection performance on novel species without retraining.