272 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sun Yat-sen UniversityCN8 papers
- Zhejiang UniversityCN7 papers
- Singapore University of Technology and DesignSG6 papers
- China Agricultural UniversityCN4 papers
- South China Agricultural UniversityCN3 papers
- Guangdong Province Key Laboratory of Information Security TechnologyCN2 papers
- Ministry of AgricultureCA2 papers
- Northwest A&F UniversityCN2 papers
- Shanghai Institute of Microsystem and Information TechnologyCN2 papers
- Agricultural Information InstituteCN1 paper
- Agritec (Czechia)CZ1 paper
- Amway (United States)US1 paper
10 papers · 1 filter
FiVOS: A Fish Segmentation Algorithm Based on Interactive Video Object Segmentation and Filter Enhancement
Yuqing Duan, Song Zhang, Shili Zhao +2
With the continuous expansion of aquaculture, precise and efficient monitoring of fish behavior has become increasingly critical for improving farming efficiency and reducing econo…
WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory
Ruifei Ding, Zhe Chen, Wen Fan +5
Street trees are vital to urban livability, providing ecological and social benefits. Establishing a detailed, accurate, and dynamically updated street tree inventory has become es…
Three-dimentional reconstruction of complex, dynamic population canopy architecture for crops with a novel point cloud completion model: A case study in Brassica napus rapeseed
Ziyue Guo, Xin Yang, Yutao Shen +3
Quantitative descriptions of the complete canopy architecture are essential for accurately evaluating crop photosynthesis and yield performance to guide ideotype design. Although v…
PlantSegNeRF: A few-shot, cross-species method for plant 3D instance point cloud reconstruction via joint-channel NeRF with multi-view image instance matching
Xin Yang, Ruiming Du, Hanyang Huang +7
Organ segmentation of plant point clouds is a prerequisite for the high-resolution and accurate extraction of organ-level phenotypic traits. Although the fast development of deep l…
Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks
Tianyou Jiang, Mingshun Shao, Tianyi Zhang +2
Automatic counting soybean pods and seeds in outdoor fields allows for rapid yield estimation before harvesting, while indoor laboratory counting offers greater accuracy. Both meth…
Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model
Yutao Shen, Hongyu Zhou, Xin Yang +5
Biomass estimation of oilseed rape is crucial for optimizing crop productivity and breeding strategies. While UAV-based imaging has advanced high-throughput phenotyping, current me…
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone
Xin Yang, Xuqi Lu, Pengyao Xie +6
The rice panicle traits significantly influence grain yield, making them a primary target for rice phenotyping studies. However, most existing techniques are limited to controlled…
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang +1
The reconstruction of textureless areas has long been a challenging problem in MVS due to lack of reliable pixel correspondences between images. In this paper, we propose the Textu…
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks
Yuankun Xu, Dong Huang, Chang-Dong Wang +1
Deep clustering has shown its promising capability in joint representation learning and clustering via deep neural networks. Despite the significant progress, the existing deep clu…
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
Ruiming Du, Zhihong Ma, Pengyao Xie +2
Segmentation of plant point clouds to obtain high-precise morphological traits is essential for plant phenotyping. Although the fast development of deep learning has boosted much r…