CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis

ArXi:2605.03259v1 Announce Type: new High-throughput plant phenotyping, the quantitative measurement of observable plant traits, is critical for modern breeding but remains constrained by a "phenotyping bottleneck," where manual data collection is labor-intensive and prone to observer bias. Conventional closed-set computer vision systems fail to address this challenge, as they require extensive species-specific annotation and lack the flexibility to handle diverse breeding populations.