Aqing Yang
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View article: Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method
Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method Open
View article: Self-calibrated acceleration and detail preserving for semantic segmentation of lactating sows and piglets under low-light conditions
Self-calibrated acceleration and detail preserving for semantic segmentation of lactating sows and piglets under low-light conditions Open
Pixel-wise semantic segmentation of lactating sows and piglets is critical to explore maternal traits in smart livestock breeding and production. However, semantic segmentation algorithms do not yield satisfactory results under low-light c…
View article: Motion-Status-Driven Piglet Tracking Method for Monitoring Piglet Movement Patterns Under Sow Posture Changes
Motion-Status-Driven Piglet Tracking Method for Monitoring Piglet Movement Patterns Under Sow Posture Changes Open
Understanding how piglets move around sows during posture changes is crucial for their safety and healthy growth. Automated monitoring can reduce farm labor and help prevent accidents like piglet crushing. Current methods (called Joint Det…
View article: A lightweight model for automatic pig counting in intensive piggeries using a green inspection robot and image segmentation method
A lightweight model for automatic pig counting in intensive piggeries using a green inspection robot and image segmentation method Open
View article: A Lightweight Model for Automatic Pig Counting in Intensive Piggeries Using a Green Inspection Robot and Image Segmentation Method
A Lightweight Model for Automatic Pig Counting in Intensive Piggeries Using a Green Inspection Robot and Image Segmentation Method Open
View article: Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area Proposals
Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area Proposals Open
A novel method is proposed based on the improved YOLOV5 and feeding functional area proposals to identify the feeding behaviors of nursery piglets in a complex light and different posture environment. The method consists of three steps: fi…
View article: Deep color calibration for UAV imagery in crop monitoring using semantic style transfer with local to global attention
Deep color calibration for UAV imagery in crop monitoring using semantic style transfer with local to global attention Open
Color cast of the UAV imagery is inevitable due to the temperature and illuminance changes during the UAV flight. Since color is an important feature in crop monitoring, color cast often produces misleading inference in estimation of crop …
View article: Automated video analysis of sow nursing behavior based on fully convolutional network and oriented optical flow
Automated video analysis of sow nursing behavior based on fully convolutional network and oriented optical flow Open
View article: Detection of Helminthosporium Leaf Blotch Disease Based on UAV Imagery
Detection of Helminthosporium Leaf Blotch Disease Based on UAV Imagery Open
Helminthosporium leaf blotch (HLB) is a serious disease of wheat causing yield reduction globally. Usually, HLB disease is controlled by uniform chemical spraying, which is adopted by most farmers. However, increased use of chemical contro…
View article: Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery
Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery Open
Chemical control is necessary in order to control weed infestation and to ensure a rice yield. However, excessive use of herbicides has caused serious agronomic and environmental problems. Site specific weed management (SSWM) recommends an…
View article: A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery
A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery Open
Weed control is necessary in rice cultivation, but the excessive use of herbicide treatments has led to serious agronomic and environmental problems. Suitable site-specific weed management (SSWM) is a solution to address this problem while…
View article: A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery Open
Appropriate Site Specific Weed Management (SSWM) is crucial to ensure the crop yields. Within SSWM of large-scale area, remote sensing is a key technology to provide accurate weed distribution information. Compared with satellite and pilot…
View article: Semi-supervised learning for accurate weed mapping of UAV imagery
Semi-supervised learning for accurate weed mapping of UAV imagery Open
Weed mapping is essential for Site Specific Weed Management (SSWM) applications. Semantic segmentation is the mainstream algorithm to perform the weed mapping at pixel level, which is proven to be superiors than the traditional Object Base…
View article: Current status and future directions of weed recognition by UAV remote sensing
Current status and future directions of weed recognition by UAV remote sensing Open
View article: Automatic difference vegetation index generator for spider mite-infested cotton detection using hyperspectral reflectance
Automatic difference vegetation index generator for spider mite-infested cotton detection using hyperspectral reflectance Open
Spider mites are one of the main pest stresses on cotton, which cause serious economic losses in cotton production in Xinjiang Region. This article explored the potential of ground based hyperspectral reflectance for mite-infestation detec…
View article: Deep Convolution Neural Networks for Automatic Eyeglasses Removal
Deep Convolution Neural Networks for Automatic Eyeglasses Removal Open
The facial image under eyeglasses occlusion can degrade face recognition performance. Inspired by the success of deep convolutional neural networks (DCNN) on super resolution, in this paper, a method based on deep convolutional neural netw…
View article: The dataset of the manuscript "A Fully Convolutional Network for weed mapping of Unmanned Aerial Vehicle (UAV) Imagery"
The dataset of the manuscript "A Fully Convolutional Network for weed mapping of Unmanned Aerial Vehicle (UAV) Imagery" Open
The folder 'rice_data' containing the training dataset and validation dataset.All the UAV imagery were in the folder: 'rice_data\image': DJI_0087_0.png DJI_0087_1.png ......All the Ground Truth images was in the folder: 'rice_data\image': …
View article: training dataset and validation dataset of the manuscript "A Fully Convolutional Network for weed mapping of Unmanned Aerial Vehicle (UAV) Imagery"
training dataset and validation dataset of the manuscript "A Fully Convolutional Network for weed mapping of Unmanned Aerial Vehicle (UAV) Imagery" Open
The folder 'rice_data' containing the training dataset and validation dataset.All the UAV imagery were in the folder: 'rice_data\image': DJI_0087_0.png DJI_0087_1.png ......All the Ground Truth images was in the folder: 'rice_data\image': …