3 papers
cs.CV2026
Vision-Language Semantic Grounding for Multi-Domain Crop-Weed Segmentation
Nazia Hossain, Xintong Jiang, Yu Tian +3
Fine-grained crop-weed segmentation is essential for enabling targeted herbicide application in precision agriculture. However, existing deep learning models struggle to generalize…
cs.CV2025
Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
Xintong Jiang, Yixue Liu, Mohamed Debbagh +4
Parameter-Efficient Fine-Tuning (PEFT) of foundation models for agricultural computer vision tasks remains challenging due to limited training data and complex field conditions. Th…
q-bio.QM2025
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review
Mohamed Debbagh, Shangpeng Sun, Mark Lefsrud
Accurate predictions and representations of plant growth patterns in simulated and controlled environments are important for addressing various challenges in plant phenomics resear…