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AgriScope: Pixel-Grounded Multimodal Understanding for Agricultural Images
Abderrahmene Boudiaf, Mohamad Alanssari, Irfan Hussain +1
Agricultural image understanding requires fine-grained recognition of plant diseases, pests, crop structures, and botanical species under complex real-world conditions. Despite rec…
SegRAG: Retrieval Augmented Spatial Prompting for Open Vocabulary Semantic Segmentation
Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed
Frozen segmentation foundation models often fail when the target class appears in a form that is weakly represented during pretraining. To address this problem, we introduce SegRAG…
CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis
Abderrahmene Boudiaf, Sajd Javed
High-throughput plant phenotyping, the quantitative measurement of observable plant traits, is critical for modern breeding but remains constrained by a "phenotyping bottleneck," w…
AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding
Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed
The deployment of Multimodal Large Language Models (MLLMs) in agriculture is currently stalled by a critical trade-off: the existing literature lacks the large-scale agricultural d…