11 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
SPROUT: A Scalable Diffusion Foundation Model for Multi-Crop Plant Phenotyping
Shuai Xiang, James Burridge, Shouyang Liu +4
Image-based plant phenotyping depends on dense structural understanding of crops, yet pixel-level annotation remains expensive across species, organs, growth stages, and field cond…
PointRAFT: 3D deep learning for high-throughput prediction of potato tuber weight from partial point clouds
Pieter M. Blok, Haozhou Wang, Hyun Kwon Suh +3
Key phenotypic traits, such as crop size, volume, and weight, can be estimated non-destructively from point clouds. In practice, however, point clouds of crops are typically incomp…
High-throughput 3D shape completion of potato tubers on a harvester
Pieter M. Blok, Federico Magistri, Cyrill Stachniss +3
Potato yield is an important metric for farmers to further optimize their cultivation practices. Potato yield can be estimated on a harvester using an RGB-D camera that can estimat…
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang, Pieter M. Blok, James Burridge +2
Object detection has wide applications in agriculture, but domain shifts of diverse environments limit the broader use of the trained models. Existing domain adaptation methods usu…