Huanliang Xu
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View article: Image Classification of Chicken Breed and Gender Using Deep Learning
Image Classification of Chicken Breed and Gender Using Deep Learning Open
Identifying chicken breeds and genders accurately is essential for conserving local breeds and maintaining gender ratios on farms. This study developed a system based on the Swin Transformer that efficiently and accurately classifies chick…
View article: Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization
Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization Open
View article: A Unified Winkler Model for Vertical and Lateral Dynamic Analysis of Tapered Piles in Layered Soils in the Frequency Domain
A Unified Winkler Model for Vertical and Lateral Dynamic Analysis of Tapered Piles in Layered Soils in the Frequency Domain Open
Tapered piles are a new type of pile foundation known for their simple construction and high bearing capacity, commonly used in railway, highway, or building foundation treatment. This study proposes a unified dynamic Winkler model for ver…
View article: FishTracker: An Efficient Multi-Object Tracking Algorithm for Fish Monitoring in a RAS Environment
FishTracker: An Efficient Multi-Object Tracking Algorithm for Fish Monitoring in a RAS Environment Open
View article: A fish fry dataset for stocking density control and health assessment based on computer vision
A fish fry dataset for stocking density control and health assessment based on computer vision Open
Fish farming is a promising economic activity that promotes the social development, protects the ecological environment, and enhances the quality of human life. In recent years, various computer vision models have been established for asse…
View article: PS-MTL-LUCAS: A partially shared multi-task learning model for simultaneously predicting multiple soil properties
PS-MTL-LUCAS: A partially shared multi-task learning model for simultaneously predicting multiple soil properties Open
Soil acts as a foundation for human survival and social development and soil quality has a great effect on the growth of agricultural products. Visible/near-infrared spectroscopy has been acknowledged as a rapid and non-destructive method …
View article: NAGNE: Node-to-Attribute Generation Network Embedding for Heterogeneous Network
NAGNE: Node-to-Attribute Generation Network Embedding for Heterogeneous Network Open
Heterogeneous network embedding aims to project multiple types of nodes into a low-dimensional space, and has become increasingly ubiquitous. However, several challenges have not been addressed so far. First, existing heterogeneous network…
View article: TRiP: a transfer learning based rice disease phenotype recognition platform using SENet and microservices
TRiP: a transfer learning based rice disease phenotype recognition platform using SENet and microservices Open
Classification of rice disease is one significant research topics in rice phenotyping. Recognition of rice diseases such as Bacterialblight , Blast , Brownspot , Leaf smut , and Tungro are a critical research field in rice phenotyping. How…
View article: Lightweight Lotus Phenotype Recognition Based on Mobilenetv2-Seblock with Reliable Pseudo-Labels
Lightweight Lotus Phenotype Recognition Based on Mobilenetv2-Seblock with Reliable Pseudo-Labels Open
View article: Assessing the Morphological Quality of Zizania Latifoliashoot Based on Instance Segmentation
Assessing the Morphological Quality of Zizania Latifoliashoot Based on Instance Segmentation Open
View article: A Discriminative Model for Early Detection of Anthracnose in Strawberry Plants Based on Hyperspectral Imaging Technology
A Discriminative Model for Early Detection of Anthracnose in Strawberry Plants Based on Hyperspectral Imaging Technology Open
Strawberry anthracnose, caused by Colletotrichum spp., is a major disease that causes tremendous damage to cultivated strawberry plants (Fragaria × ananassa Duch.). Examining and distinguishing plants potentially carrying the pathogen is o…
View article: Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning
Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning Open
Deep learning techniques play an important role in plant phenotype research, due to their powerful data processing and modeling capabilities. Multi-task learning has been researched for plant phenotype analysis, which can combine different…
View article: Applying Spectral Fractal Dimension to Predict the SPAD Value of Rice Leaves Under Disease Stress
Applying Spectral Fractal Dimension to Predict the SPAD Value of Rice Leaves Under Disease Stress Open
BackgroundThe chlorophyll content is a vital indicator for reflecting the photosynthesis ability of plants and it plays a significant role in monitoring the general health of plants. Since the chlorophyll content and the soil-plant analysi…
View article: An Adaptive Communication-Efficient Federated Learning to Resist Gradient-Based Reconstruction Attacks
An Adaptive Communication-Efficient Federated Learning to Resist Gradient-Based Reconstruction Attacks Open
The widely deployed devices in Internet of Things (IoT) have opened up a large amount of IoT data. Recently, federated learning emerges as a promising solution aiming to protect user privacy on IoT devices by training a globally shared mod…
View article: An Efficient Case Retrieval Algorithm for Agricultural Case-Based Reasoning Systems, with Consideration of Case Base Maintenance
An Efficient Case Retrieval Algorithm for Agricultural Case-Based Reasoning Systems, with Consideration of Case Base Maintenance Open
Case-based reasoning has considerable potential to model decision support systems for smart agriculture, assisting farmers in managing farming operations. However, with the explosive amount of sensing data, these systems may achieve poor p…
View article: An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation
An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation Open
Plant phenotyping is widely used to identify the genotype differences and the environmental conditions of plants. These pieces of information can be gathered by various sensors conveniently and easily. The similarity evaluation of phenotyp…
View article: Two Dimensional Slow Feature Discriminant Analysis via L 2,1 Norm Minimization for Feature Extraction
Two Dimensional Slow Feature Discriminant Analysis via L 2,1 Norm Minimization for Feature Extraction Open
Slow Feature Discriminant Analysis (SFDA) is a supervised feature extraction method inspired by biological mechanism.In this paper, a novel method called Two Dimensional Slow Feature Discriminant Analysis via L 2,1 norm minimization (2DSFD…