A5100613514- Animal Behavior and Welfare Studies
- Video Surveillance and Tracking Methods
- Effects of Environmental Stressors on Livestock
- Advanced Image and Video Retrieval Techniques
- Food Supply Chain Traceability
- Face recognition and analysis
- Advanced Vision and Imaging
- Smart Agriculture and AI
- Industrial Vision Systems and Defect Detection
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Face and Expression Recognition
- Medical Image Segmentation Techniques
- Biometric Identification and Security
- Robotics and Sensor-Based Localization
- Image Processing Techniques and Applications
- Advanced Image Processing Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Text and Document Classification Technologies
- Image and Signal Denoising Methods
- Gait Recognition and Analysis
- Fire Detection and Safety Systems
- Ruminant Nutrition and Digestive Physiology
- Domain Adaptation and Few-Shot Learning
Chinese Academy of Sciences
2025
Institute of Subtropical Agriculture
2024-2025
National Engineering Research Center for Information Technology in Agriculture
2021-2024
Northwest A&F University
2021-2024
China People's Public Security University
2007-2024
Ministry of Public Security of the People's Republic of China
2024
Xi'an University of Technology
2024
Beijing Academy of Agricultural and Forestry Sciences
2023
University of Electronic Science and Technology of China
2014-2022
Huzhou University
2022
As machine vision technology has advanced, pig face recognition gained wide attention as an individual identification method. This study establishes improved ResNAM network a backbone for image feature extraction by combining NAM (normalization-based module) mechanism and ResNet model to probe non-contact open-set recognition. Then, framework is designed integrating three loss functions two metrics finish the task with no crossover of individuals in training test sets. The SphereFace...
Livestock’s live body dimensions are a pivotal indicator of economic output. Manual measurement is labor-intensive and time-consuming, often eliciting stress responses in the livestock. With advancement computer technology, techniques for livestock dimension have progressed rapidly, yielding significant research achievements. This paper presents comprehensive review recent advancements measurement, emphasizing crucial role computer-vision-based sensors. The discussion covers three main...
Abstract Motivation: Tandem mass spectrometry (MS/MS) offers fast and reliable characterization of complex protein mixtures, but suffers from low sensitivity in identification. In a typical shotgun proteomics experiment, it is assumed that all proteins are equally likely to be present. However, there often other information available, e.g. the probability protein's presence correlate with its mRNA concentration. Results: We develop Bayesian score estimates posterior sample given...
Natural breeding scenes have the characteristics of a large number cows, complex lighting, and background environment, which presents great difficulties for detection dairy cow estrus behavior. However, existing research on behavior works well in ideal environments with small cows has low inference speed accuracy natural scenes. To improve scenes, this paper proposes method based improved YOLOv5. By improving YOLOv5 model, it stronger ability multi-scale objects. First, atrous spatial...
Deformable models and level set methods have been extensively investigated for computerized image segmentation. However, medical segmentation is yet one of open challenges owing to diversified physiology, pathology, imaging modalities. Existing suffer from some inherent drawbacks in face noise, ambiguity, inhomogeneity. It also refractory control that dependent on content evolutional strategies. In this paper, a new formulation proposed by using fuzzy region competition selective able detect...
Most fault diagnosis models use a single input and have weak generalization performance. In order to obtain more information, method based on Multi-channel Residual Attention Network with Efficient Channel (ECA-MRANet) is proposed in this paper. method, the original time domain signal first processed by multi-domain transform, result of which MRANet for feature extraction. Finally, extracted features are fused ECA realize identification. The experimental results show that can enhance ability...
The molecular structure and stacking mode relationship is the core of creating planar layer-stacked materials by crystal engineering. However, it remains highly challenging to clarify relationship. By exhaustively extracting 50 compounds with D2h or D3h point groups from Cambridge Structural Database, we study in this work, characteristics molecules those others for comparison. For a hydrogenous molecule, requires both strong donor acceptor hydrogen bonds (HBs) therein large positive...
The microbes residing in ruminant gastrointestinal tracts play a crucial role converting plant biomass to volatile fatty acids, which serve as the primary energy source for ruminants. This tract comprises foregut (rumen) and hindgut (cecum colon), differ structures functions, particularly with respect feed digestion fermentation. While rumen microbiome has been extensively studied, cecal remains much less investigated understood, especially concerning assembling microbial communities...
Mycobacterium smegmatis is a fast-growing model mycobacterial system that shares many features with the pathogenic tuberculosis while allowing practical proteomics analysis. With use of shotgun-style mass spectrometry, we provide large-scale analysis M. proteomic response to anti-tuberculosis (TB) drugs isoniazid, ethambutol, and 5-chloropyrazinamide elucidate drugs' systematic effects on proteins. A total 2550 proteins were identified approximately 5% false-positive identification rate...
Highlights A pig face recognition model that cascades the detection network and is proposed. The can automatically extract images to reduce influence of background. proposed cascaded reaches accuracies 99.38%, 98.96% 97.66% on three datasets. An application developed recognize individual pigs. Abstract. identification tracking livestock using artificial intelligence technology have been a research hotspot in recent years. Automatic key realizing intelligent feeding. Although RFID achieve...
Behavior is one of the important factors reflecting health status dairy cows, and when cows encounter problems, they exhibit different behavioral characteristics. Therefore, identifying cow behavior not only helps in assessing their physiological disease treatment but also improves welfare, which very for development animal husbandry. The method relying on human eyes to observe has problems such as high labor costs, intensity, fatigue rates. it necessary explore more effective technical...
Studying the distribution characteristics of bioaerosols and their interaction with environment is crucial for dairy farms. The aerosols differs in farming from other livestock, sensitivity to environmental factors varies across sites. Field experiments were conducted an intensive commercial farm Northern China investigate horizontal vertical culturable bacterial bioaerosols. Concentration levels particle size ranges analyzed, impact multiple on was assessed. Significant variations...
To improve the detection speed of cow mounting behavior and lightness model in dense scenes, this study proposes a lightweight rapid system for behavior. Using concept EfficientNetV2, backbone network is designed using an attention mechanism, inverted residual structure, depth-wise separable convolution. Next, feature enhancement module efficient Ghost Finally, YOLOv5s, network, are combined to construct recognition Multiple cameras were installed barn with 200 cows obtain 3343 images that...
A clear understanding of the number pigs plays a crucial role in breeding management. Computer vision technology possesses several advantages, as it is harmless and labour-saving compared to traditional counting methods. Nevertheless, existing methods still face some challenges, such as: (1) lack substantial high-precision pig-counting dataset; (2) creating dataset for instance segmentation can be time-consuming labor-intensive; (3) interactive occlusion overlapping always lead incorrect...
Within the current process of large-scale dairy-cattle breeding, to address problems low recognition-accuracy and significant recognition-error associated with existing visual methods, we propose a method for recognizing feeding behavior dairy cows, one based on an improved RefineMask instance-segmentation model, using high-quality detection segmentation results realize recognition cows. Firstly, input features are better extracted by incorporating convolutional block attention module into...
The face recognition methods based on convolutional neural network have achieved great success. existing model usually used the residual as core architecture. is good at reusing features, but it difficult to explore new features. And densely connected can be We proposed a named Dense Face performance of in recognition. and composed Block layers, transition layers classification layer. was trained with joint supervision center loss softmax through feature normalization enabled learn more...
Image registration is an important basis of image processing, which great significance in mosaicking, target recognition, and change detection. Aiming at the automatic problem multi-angle optical images for ground scenes, a method combining point features line to register proposed. Firstly, LSD (Line Segment Detector) algorithm used extract images. The obtained segments whose length are less than given threshold eliminated by visual significant algorithm. Then, affine transform model...
<title>Abstract</title> Background The microbes residing in ruminant gastrointestinal tracts convert plant biomass to nutritious volatile fatty acids, the primary energy source for ruminants. Ruminants´ tract comprises a foregut (rumen) and hindgut (cecum colon), each with contrasting structures functions anaerobic digestion. With most previous studies focusing on rumen microbiome, cecal microbiome is much less investigated understood, including assembling microbial communities overriding...