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
21 papers
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…
Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Jiangnan Zhao, Hanbo Xu, Cifu Xu +4
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional det…
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…
Co-benefits of Agricultural Diversification and Technology for Food and Nutrition Security in China
Thomas Cherico Wanger, Estelle Raveloaritiana, Siyan Zeng +12
China is the leading crop producer and has successfully implemented sustainable development programs related to agriculture. Sustainable agriculture has been promoted to achieve na…
Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering
Wei Lv, Chao Zhang, Huaxiong Li +2
Incomplete multi-view clustering (IMVC) has received increasing attention since it is often that some views of samples are incomplete in reality. Most existing methods learn simila…
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…
Understanding the Gain of Deploying IRSs in Large-scale Heterogeneous Cellular Networks
Hu Cheng, Hongguang Sun, Linyi Zhang +3
As the superior improvement on wireless network coverage, spectrum efficiency and energy efficiency, Intelligent reflecting surface (IRS) has received more and more attention. In t…
IRS-Assisted RF-powered IoT Networks:System Modeling and Performance Analysis
Hongguang Sun, Zelun Zhao, Hu Cheng +4
Emerged as a promising solution for future wireless communication systems, intelligent reflecting surface (IRS) is capable of reconfiguring the wireless propagation environment by…
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Si-Guo Fang, Dong Huang, Xiao-Sha Cai +3
Although previous graph-based multi-view clustering algorithms have gained significant progress, most of them are still faced with three limitations. First, they often suffer from…
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…
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Despite significant progress, there remain three limitations to the previous multi-view clustering algorithms. First, they often suffer from high computational complexity, restrict…
Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD
Hongguang Sun, Howard H. Yang, Xijun Wang +2
Small cell networks with dynamic time-division duplex (D-TDD) have emerged as a potential solution to address the asymmetric traffic demands in 5G wireless networks. By allowing th…
AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks
Chao Xu, Xijun Wang, Howard H. Yang +2
Caching has been regarded as a promising technique to alleviate energy consumption of sensors in Internet of Things (IoT) networks by responding to users' requests with the data pa…
Optimizing Information Freshness in Computing enabled IoT Networks
Chao Xu, Howard H. Yang, Xijun Wang +1
Internet of Things (IoT) has emerged as one of the key features of the next generation wireless networks, where timely delivery of status update packets is essential for many real-…
On Peak Age of Information in Data Preprocessing enabled IoT Networks
Chao Xu, Howard H. Yang, Xijun Wang +1
Internet of Things (IoT) has been emerging as one of the use cases permeating our daily lives in 5th Generation wireless networks, where status update packages are usually required…