scholarly journals Review of Weed Detection Methods Based on Computer Vision

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3647
Author(s):  
Zhangnan Wu ◽  
Yajun Chen ◽  
Bo Zhao ◽  
Xiaobing Kang ◽  
Yuanyuan Ding
Keyword(s):  
Computer Vision ◽  
Agricultural Production ◽  
Development Trend ◽  
Detection Methods ◽  
Future Research ◽  
Weed Detection ◽  
Factors Affecting ◽  
Advantages And Disadvantages ◽  
Related Plant ◽  
The Development Trend

Weeds are one of the most important factors affecting agricultural production. The waste and pollution of farmland ecological environment caused by full-coverage chemical herbicide spraying are becoming increasingly evident. With the continuous improvement in the agricultural production level, accurately distinguishing crops from weeds and achieving precise spraying only for weeds are important. However, precise spraying depends on accurately identifying and locating weeds and crops. In recent years, some scholars have used various computer vision methods to achieve this purpose. This review elaborates the two aspects of using traditional image-processing methods and deep learning-based methods to solve weed detection problems. It provides an overview of various methods for weed detection in recent years, analyzes the advantages and disadvantages of existing methods, and introduces several related plant leaves, weed datasets, and weeding machinery. Lastly, the problems and difficulties of the existing weed detection methods are analyzed, and the development trend of future research is prospected.

scholarly journals Recent Advancement in Anomaly Detection in Surveillance Videos

2019 ◽  
Vol 8 (2) ◽  
pp. 964-970
Keyword(s):  
Computer Vision ◽  
Anomaly Detection ◽  
Video Data ◽  
Detection Methods ◽  
Future Research ◽  
Detection Techniques ◽  
Advantages And Disadvantages ◽  
Recent Computer ◽  
Banking Education ◽  
To Come

Detection of Anomaly is of a notable and emergent problem into many diverse fields like information theory, deep learning, computer vision, machine learning, and statistics that have been researched within the various application from diverse domains including agriculture, health care, banking, education, and transport anomaly detection. Newly, numbers of important anomaly detection techniques along with diverseness of sort have been watched. The main aim of this paper to come up with a broad summary of the present development on detection of an anomaly, exclusively for video data with mixed types and high dimensionalities, where identifying the anomalous behaviors and event or anomalous patterns is a significant task. The paper expresses the advantages and disadvantages of the detection methods the experiments tried on the publically available benchmark dataset to assess numerous popular and classical methods and models. The objective of this analysis is to furnish an understanding of recent computer vision and machine algorithms methods and also state-of-the-art deep learnings techniques to detect anomalies for researchers. At last, the paper delivered roughly directions for future research on an anomalies detection.

Recent Reviews on Machine Vision-Based 3D Reconstruction

2021 ◽  
Vol 14 ◽  
Author(s):  
Hongxin Zhang ◽  
Shaowei Ma ◽  
Meng Li ◽  
Hanghang Jiang ◽  
Jiaming Li
Keyword(s):  
Machine Vision ◽  
3D Reconstruction ◽  
Autonomous Navigation ◽  
Robot Vision ◽  
Research Direction ◽  
Development Trend ◽  
Future Research ◽  
The Future ◽  
The Development Trend ◽  
Better Than

Background: In machine vision, the 3D reconstruction is widely used in medical system, autonomous navigation, aviation and remote sensing measurement, industrial automation and other fields, and the demand for reconstruction precision is significantly highlighted. Therefore, the 3D reconstruction is of great research value and will be an important research direction in the future. Objective: By reviewing the latest development and patent of 3D reconstruction, this paper provides references to researchers in related fields. Methods: Machine vision-based 3D reconstruction patents and literatures were analyzed from the aspects of the algorithm, innovation and application. Among them, there are more than 30 patents and nearly 30 literatures in the past ten years. Results: Researches on machine vision-based 3D reconstruction in recent 10 years are reviewed, and the typical characteristics were concluded. The main problems in its development were analyzed, the development trend was foreseen, and the current and future research on the productions and patents related to machine vision-based 3D reconstruction is discussed. Conclusion: The reconstruction result of binocular vision and multi-vision is better than monocular vision in most cases. Current researches of 3D reconstruction focus on robot vision navigation, intelligent vehicle environment sensing system and virtual reality. The aspects that need to be improved in the future include: improving robustness, reducing computational complexity, and reducing operating equipment requirements, and so on. Furthermore, more patents on machine vision-based 3D reconstruction also should be invented.

Research Progress of Bionic Water Strider Robot

2021 ◽  
Vol 14 ◽  
Author(s):  
Jingang Jiang ◽  
Qiyun Tan ◽  
Xiaoyang Yu ◽  
Dianhao Wu ◽  
Liang Yao
Keyword(s):  
Water Surface ◽  
Visual Analysis ◽  
Development Trend ◽  
Research Progress ◽  
Future Research ◽  
Water Strider ◽  
Quality Of Water ◽  
The Development Trend ◽  
Development Prospects

Background: As a kind of bionic robot, the bionic water strider robot can achieve sliding, jumping and other movements on the water surface, with advantages of small size, light weight, flexible movements and other characteristics. It can detect the quality of water, investigate and search the water surface and perform some other operations. It has a very broad range of applications and development prospects. Therefore, the trend of biomimetic water strider robot is catching more and more attention. Objective: To provide an overview of the bionic water strider robot and introduce their classification, characteristics and development. Methods: This paper reviews various productions and patents related to the bionic water strider robot from 2003 to the present. The sources of the papers include: CNKI, Wanfang, Patent publication announcement in China, Web of Science, IEEE, Elsevier, Springer-Verlag, Espacenet, FPO IP Research amp; Communities. To obtain the results, endnote is used for documentation and citesapce was used for visual analysis. Results: The mechanical structure of existing bionic water strider robots is analyzed and compared. The typical characteristics are concluded. The main problems in its development are analyzed and the development trend is foreseen. The current and future research of the productions and patents on the bionic water strider robot are discussed. Conclusion: The optimization and development of the structure of the bionic water strider robot and the development of associated components help to improve the simulation of the water strider's motion and to perform better on task in a complex water surface environment. In the future, with the deepening and improvement of the research, the bionic water strider robot will develop towards miniaturization, intelligence and integration.

scholarly journals Review of Dissolved Oxygen Detection Technology: From Laboratory Analysis to Online Intelligent Detection

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3995 ◽  
Author(s):  
Yaoguang Wei ◽  
Yisha Jiao ◽  
Dong An ◽  
Daoliang Li ◽  
Wenshu Li ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Real Time ◽  
Optical Detection ◽  
Oxygen Sensors ◽  
Detection Methods ◽  
Future Research ◽  
Advantages And Disadvantages ◽  
Oxygen Detection ◽  
Detection Technology ◽  
Intelligent Technology

Dissolved oxygen is an important index to evaluate water quality, and its concentration is of great significance in industrial production, environmental monitoring, aquaculture, food production, and other fields. As its change is a continuous dynamic process, the dissolved oxygen concentration needs to be accurately measured in real time. In this paper, the principles, main applications, advantages, and disadvantages of iodometric titration, electrochemical detection, and optical detection, which are commonly used dissolved oxygen detection methods, are systematically analyzed and summarized. The detection mechanisms and materials of electrochemical and optical detection methods are examined and reviewed. Because external environmental factors readily cause interferences in dissolved oxygen detection, the traditional detection methods cannot adequately meet the accuracy, real-time, stability, and other measurement requirements; thus, it is urgent to use intelligent methods to make up for these deficiencies. This paper studies the application of intelligent technology in intelligent signal transfer processing, digital signal processing, and the real-time dynamic adaptive compensation and correction of dissolved oxygen sensors. The combined application of optical detection technology, new fluorescence-sensitive materials, and intelligent technology is the focus of future research on dissolved oxygen sensors.

Research of Localization Issues in Underwater Sensor Networks

2012 ◽  
Vol 157-158 ◽  
pp. 424-427
Author(s):  
Xian Min Wei
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Real Time ◽  
Development Trend ◽  
Underwater Sensor Networks ◽  
Localization Problem ◽  
Advantages And Disadvantages ◽  
Localization Algorithms ◽  
Underwater Localization ◽  
The Development Trend

Localization problem has great significance in the applications of underwater sensor networks (UWSN), such as real-time monitoring, target tracking and navigation. This paper analized a series of challenges in underwater localization problem, introduced exsiting localization algorithms and discussed their advantages and disadvantages, and then the development trend of localization problem is discussed. Finally, we give some suggestions in the design of localization algoprithms.

Analysis on De-Icing Methods for 4-Bundle 500kV Transmission Lines

2013 ◽  
Vol 694-697 ◽  
pp. 790-794
Author(s):  
Shun Xin Liu ◽  
You Han Guo
Keyword(s):  
Transmission Line ◽  
South China ◽  
Transmission Lines ◽  
Research Direction ◽  
Development Trend ◽  
Ice Melting ◽  
Power Networks ◽  
Advantages And Disadvantages ◽  
Prevention And Treatment ◽  
The Development Trend

In view of the massive transmission lines suffered disaster of ice coating at the beginning of 2008 in south China. In this paper, several typical schemes for the prevention and treatment of ice coating occurred in power networks home and abroad are analyzed. Common melting ice methods can be divided into three kinds: thermal ice-melting, mechanical de-icing and new de-icing. This paper describes a 500 kV transmission line and analyses each of these measures briefly. At the same time, the advantages and disadvantages of various measures and their applications were summarized. At last, the development trend and the research direction were pointed out．

Research Status and Development Trend of Electromagnetic Defect Detection Logging

2013 ◽  
Vol 325-326 ◽  
pp. 856-860
Author(s):  
Zheng Guo Yan ◽  
Lin Zhao
Keyword(s):  
Defect Detection ◽  
Hot Spot ◽  
Development Trend ◽  
Research Status ◽  
Advantages And Disadvantages ◽  
Detection Technology ◽  
Metal Thickness ◽  
Theory Research ◽  
The Development Trend

Electromagnetic defect detection logging can measure multilayer pipeline and provide the information of casing defect and the remaining metal thickness, is the hot spot of the casing defect detection technology. This paper elaborates the advantages and disadvantages of electromagnetic defect detection logging and the present instrument situation, compares technical indexes of several new electromagnetic casing defect detection instruments, summarizes the latest research status, points out the problems existed in current researches and the development trend combining with the instrument index and theory research.

Service-Oriented Manufacturing: the Development Trend of Chinese Manufacturing Industry

2011 ◽  
Vol 201-203 ◽  
pp. 388-392 ◽  
Author(s):  
Jian Liang Lin ◽  
Rui Miao ◽  
Zhi Bin Jiang ◽  
Li Ya Wang
Keyword(s):  
Manufacturing Industry ◽  
Development Trend ◽  
Future Research ◽  
Advanced Manufacturing ◽  
Product System ◽  
Service Oriented ◽  
Chinese Manufacturing Industry ◽  
The Development Trend

The service-oriented manufacturing is a new advanced manufacturing model, which combines service and manufacturing intensively. Firstly, this paper elaborates the origin of service-oriented manufacturing and the concept of “product system”. Then, it analyzes the characters and value of service-oriented manufacturing. At last, several key directions of future research in service-oriented manufacturing are proposed.

A Survey on Detecting Methods for Harmonic of Power System

2012 ◽  
Vol 614-615 ◽  
pp. 907-910
Author(s):  
Xue Song Zhou ◽  
Guang Zhu Chen ◽  
You Jie Ma
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Detection Method ◽  
Response Speed ◽  
Development Trend ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Harmonic Detection ◽  
Advantages And Disadvantages ◽  
Power System Harmonics

This paper describes Detecting Methods for Harmonics of power system has been considered one of the serious harms for power system. The research of harmonics has obtained high attention among people. The researches of harmonics detection have many methods, such as Based on Fryze theory of harmonic power detection, Instantaneous reactive power theory detection method, Fourier Transformation harmonic detection method, wavelet transform detection method, neural networks harmonic detection method etc. Aiming at harmonic detection, the different detection methods of power system harmonics are summarized and compared. This paper reviews the existing harmonic detection methods, and discuss their advantages and disadvantages in terms of detection accuracy and response speed, and finally summarizes the development trend of the harmonic detection method.

scholarly journals Integrating BIM with greenhouse-gas emissions in AEC: A scientometric review

2020 ◽  
Vol 143 ◽  
pp. 01008
Author(s):  
Mengyun Li ◽  
Kun Lu ◽  
Hongyu Wang ◽  
Sai Wang
Keyword(s):  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Development Trend ◽  
Status Quo ◽  
Information Modeling ◽  
Future Research ◽  
Systematic Analysis ◽  
Building Information ◽  
The Development Trend ◽  
Calculation Analysis

More and more attention has been paid to the application of Building Information Modeling (BIM) in the field of greenhouse-gas (GHG) emissions in Architecture, Engineering and Construction (AEC). However, systematic analysis and visualization of its development trend have not been carried out. This paper combined digital statistical method and scientometrics to analyse major documents published in the Scopus database from 2008 to September 2019 and discussed the development trend, the main journals co-citation and keywords co-occurrence of this field. And then main challenges and future research were summarized by content analysis. The results show that: (1) the number of articles related to integrating BIM with GHG emissions has increased significantly in AEC, which deserves more and more scholars to study in this field; (2) top cited journals mainly focus on built environment, BIM and clean technology; (3) BIM and Life Cycle Assessment (LCA) are the mainstream issues in the calculation, analysis and decisionmaking of GHG emissions. This review provides status quo and existing main challenges of knowledge system of BIM applied to GHG emissions in AEC, and also offers inspiration for future research.

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