Xiaofei Fan
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View article: Early Detection of Chinese Cabbage Clubroot Based on Integrated Leaf Multispectral Imaging and Machine Learning
Early Detection of Chinese Cabbage Clubroot Based on Integrated Leaf Multispectral Imaging and Machine Learning Open
Clubroot, caused by Plasmodiophora brassicae, is a destructive disease of Chinese cabbage (Brassica rapa ssp. pekinensis) at all growing stages. Early detection of the disease is essential to mitigate the impact of clubroot. Here, we estab…
View article: Metabolism-driven posttranslational modifications and immune regulation: Emerging targets for immunotherapy
Metabolism-driven posttranslational modifications and immune regulation: Emerging targets for immunotherapy Open
The interplay between cellular metabolism and immune regulation is central to immune function and disease progression, revealing notable therapeutic opportunities. Upon activation, immune cells undergo metabolic reprogramming to meet heigh…
View article: YOLO-SGD: Precision-Oriented Intelligent Detection of Seed Germination Completion
YOLO-SGD: Precision-Oriented Intelligent Detection of Seed Germination Completion Open
The seed-germination percentage is an important indicator of the seed viability and growth potential and has important implications for plant breeding and agricultural production. Thus, to increase the speed and accuracy in measuring the c…
View article: Light-Activated Nucleic Acid Amplification Systems Using Photo-caged DNA Polymerase or Primers
Light-Activated Nucleic Acid Amplification Systems Using Photo-caged DNA Polymerase or Primers Open
Precise control over nucleic acid amplification is essential for achieving reliable, quantitative, high-throughput, and multiplexed molecular diagnostics, particularly in point-of-care and field settings. However, conventional isothermal a…
View article: Multispectral and Chlorophyll Fluorescence Imaging Fusion Using 2D-CNN and Transfer Learning for Cross-Cultivar Early Detection of Verticillium Wilt in Eggplants
Multispectral and Chlorophyll Fluorescence Imaging Fusion Using 2D-CNN and Transfer Learning for Cross-Cultivar Early Detection of Verticillium Wilt in Eggplants Open
Verticillium wilt is characterized by chlorosis in leaves and is a devastating disease in eggplant. Early diagnosis, prior to the manifestation of symptoms, enables targeted management of the disease. In this study, we aim to detect early …
View article: Early acetaminophen administration and mortality outcomes in critically ill patients with cirrhosis: a retrospective analysis from the MIMIC-IV database
Early acetaminophen administration and mortality outcomes in critically ill patients with cirrhosis: a retrospective analysis from the MIMIC-IV database Open
Early APAP administration in critically ill cirrhotic patients is associated with increased mortality. These findings underscore the need for caution when prescribing APAP in this high-risk population and highlight the importance of furthe…
View article: Electrophysiological Study of the Masticatory Muscle Activity in Patients With Temporomandibular Disorders With and Without Tinnitus
Electrophysiological Study of the Masticatory Muscle Activity in Patients With Temporomandibular Disorders With and Without Tinnitus Open
Objectives The relationship between tinnitus and temporomandibular disorders (TMD) over the years has continued to be widely debated in literature and not yet fully understood. Several causes have been associated with tinnitus including al…
View article: Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques
Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques Open
Eggplant seed vigor is a crucial indicator of its germination rate and seedling growth quality. In response to the need for efficient and nondestructive assessment methods, this study explores the use of hyperspectral imaging combined with…
View article: Autonomous Navigation and Obstacle Avoidance for Orchard Spraying Robots: A Sensor-Fusion Approach with ArduPilot, ROS, and EKF
Autonomous Navigation and Obstacle Avoidance for Orchard Spraying Robots: A Sensor-Fusion Approach with ArduPilot, ROS, and EKF Open
To address the challenges of low pesticide utilization, insufficient automation, and health risks in orchard plant protection, we developed an autonomous spraying vehicle using ArduPilot firmware and a robot operating system (ROS). The sys…
View article: Enhancing the Structural Stability and Diffusion Kinetics of a Tunnel-Phase Cathode by the Synergistic Effect of Cation-Anion Co-Doping for Advanced Sodium-Ion Batteries
Enhancing the Structural Stability and Diffusion Kinetics of a Tunnel-Phase Cathode by the Synergistic Effect of Cation-Anion Co-Doping for Advanced Sodium-Ion Batteries Open
Tunnel-structured Na0.44MnO2 (NMO) has been extensively studied as a potential cathode for sodium-ion batteries (SIBs) due to its favorable cycling endurance, cost-effectiveness, environmental benignity, and notable air-moisture stability.…
View article: Research on Appearance Quality Inspection Method of Rice Based on YOLOv8
Research on Appearance Quality Inspection Method of Rice Based on YOLOv8 Open
To address the issues of time-consuming, laborious, and inaccurate traditional detection methods of rice appearance quality, a complete set of rice appearance quality inspection schemes is proposed in this study based on the YOLOv8 object …
View article: Evaluation of Shelf Life Prediction for Broccoli Based on Multispectral Imaging and Multi-Feature Data Fusion
Evaluation of Shelf Life Prediction for Broccoli Based on Multispectral Imaging and Multi-Feature Data Fusion Open
Broccoli is a highly nutritious vegetable that is favored worldwide. Assessing and predicting the shelf life of broccoli holds considerable importance for effective resource optimization and management. The physicochemical parameters and s…
View article: Corrigendum: Probiotic effects on skin health: comprehensive visual analysis and perspectives
Corrigendum: Probiotic effects on skin health: comprehensive visual analysis and perspectives Open
[This corrects the article DOI: 10.3389/fmicb.2024.1453755.].
View article: Dual‐Observer Based Resilient Control for Vehicle Trajectory Tracking Under Tri‐Modal Cyber Attacks
Dual‐Observer Based Resilient Control for Vehicle Trajectory Tracking Under Tri‐Modal Cyber Attacks Open
This study addresses vehicle trajectory tracking control under tri‐modal cyber attacks, encompassing fixed sensor‐to‐controller/controller‐to‐actuator channel attacks in lateral dynamics and sparse multi‐sensor attacks in position tracking…
View article: Probiotic effects on skin health: comprehensive visual analysis and perspectives
Probiotic effects on skin health: comprehensive visual analysis and perspectives Open
Background Bacteria play a crucial role in maintaining the health of human skin. Research has demonstrated that probiotics present notable benefits for extraintestinal organs. Despite the extensive research on the impact of probiotics on s…
View article: Prediction of Useful Eggplant Seedling Transplants Using Multi-View Images
Prediction of Useful Eggplant Seedling Transplants Using Multi-View Images Open
Traditional deep learning methods employing 2D images can only classify healthy and unhealthy seedlings; consequently, this study proposes a method by which to further classify healthy seedlings into primary seedlings and secondary seedlin…
View article: Research on an Intelligent Seed-Sorting Method and Sorter Based on Machine Vision and Lightweight YOLOv5n
Research on an Intelligent Seed-Sorting Method and Sorter Based on Machine Vision and Lightweight YOLOv5n Open
To address the current issues of low intelligence and accuracy in seed-sorting devices, an intelligent seed sorter was developed in this study using machine-vision technology and the lightweight YOLOv5n. The machine consisted of a transmis…
View article: A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information
A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information Open
Background Pepper Phytophthora blight is a devastating disease during the growth process of peppers, significantly affecting their yield and quality. Accurate, rapid, and non-destructive early detection of pepper Phytophthora blight is of …
View article: Effect of folA gene in human breast milk-derived Limosilactobacillus reuteri on its folate biosynthesis
Effect of folA gene in human breast milk-derived Limosilactobacillus reuteri on its folate biosynthesis Open
Introduction Folate supplementation is crucial for the human body, and the chemically synthesized folic acid might have undesirable side effects. The use of molecular breeding methods to modify the genes related to the biosynthesis of fola…
View article: Automatic Modeling Prediction Method of Nitrogen Content in Maize Leaves Based on Machine Vision and CNN
Automatic Modeling Prediction Method of Nitrogen Content in Maize Leaves Based on Machine Vision and CNN Open
Existing maize production is grappling with the hurdles of not applying nitrogen fertilizer accurately due to subpar detection accuracy and responsiveness. This situation presents a significant challenge, as it has the potential to impact …
View article: Maize seed appearance quality assessment based on improved Inception-ResNet
Maize seed appearance quality assessment based on improved Inception-ResNet Open
Current inspections of seed appearance quality are mainly performed manually, which is time-consuming, tedious, and subjective, and creates difficulties in meeting the needs of practical applications. For rapid and accurate identification …
View article: Rapid appearance quality of rice based on machine vision and convolutional neural network research on automatic detection system
Rapid appearance quality of rice based on machine vision and convolutional neural network research on automatic detection system Open
Introduction In the process of rice production and storage, there are many defects in the traditional detection methods of rice appearance quality, but using modern high-precision instruments to detect the appearance quality of rice has gr…
View article: Convolutional Neural Networks of Whole Jujube Fruits Prediction Model Based on Multi-Spectral Imaging Method
Convolutional Neural Networks of Whole Jujube Fruits Prediction Model Based on Multi-Spectral Imaging Method Open
Soluble sugar is an important index to determine the quality of jujube, and also an important factor to influence the taste of jujube. The acquisition of the soluble sugar content of jujube mainly relies on manual chemical measurement whic…
View article: Delay-dependent anti-disturbance control of electric vehicle based on collective observers
Delay-dependent anti-disturbance control of electric vehicle based on collective observers Open
An improved anti-disturbance strategy is proposed to guarantee lateral stability for electric vehicles with external disturbance and input time delay. Firstly, the T-S fuzzy model is applied to describe active front wheel steering system (…
View article: Appearance quality classification method of Huangguan pear under complex background based on instance segmentation and semantic segmentation
Appearance quality classification method of Huangguan pear under complex background based on instance segmentation and semantic segmentation Open
The ‘Huangguan’ pear disease spot detection and grading is the key to fruit processing automation. Due to the variety of individual shapes and disease spot types of ‘Huangguan’ pear. The traditional computer vision technology and pattern r…
View article: The Detection Method of Potato Foliage Diseases in Complex Background Based on Instance Segmentation and Semantic Segmentation
The Detection Method of Potato Foliage Diseases in Complex Background Based on Instance Segmentation and Semantic Segmentation Open
Potato early blight and late blight are devastating diseases that affect potato planting and production. Thus, precise diagnosis of the diseases is critical in treatment application and management of potato farm. However, traditional compu…