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Tomato Leaf Disease Detection Using Machine Learning

Tomato Leaf Disease Detection Using Machine Learning

引用

2024 international conference on communication, computing and Internet of Things, IC3IoT 2024

作者： Jayanthi, G. Brindha, S. Vijayalakshmi, S. Dharshini, V. Angelin Freeda, J. Sahana, S. Sri Sairam Engineering College Department Of Instrumentation And Control Engineering India Sri Sairam Engineering College Department Of Electronics And Communication Engineering India R.M.K Engineering College Department Of Electronics And Communication Engineering India

ISBN: (纸本)9798350352689

Leaf diseases are a major danger to the world's food security and have a substantial impact on crop productivity. Effective plant disease management depends on the early identification and precise diagnosis of these illnesses. Recent developments in computer vision techniques and the accessibility of inexpensive hardware, such the Raspberry Pi, have created new avenues for the development of portable and reasonably priced leaf disease detection devices. An innovative Raspberry Pi method for leaf disease detection is shown in this abstract. The proposed approach automatically detects and classifies various leaf diseases using machine learning and image processing techniques. For on-site disease detection in agricultural settings, the Raspberry Pi platform is a perfect fit because of its small size, low power consumption, and computational capacity. © 2024 IEEE.

关键词： Machine learning

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Research on Thermal Simulation of Electromechanical Servo control Driver for Aerospace Aerodynamic control

Research on Thermal Simulation of Electromechanical Servo Co...

引用

2023 international conference on automation, control and Electronics Engineering, CACEE 2023

作者： Xu, Zhishu Wei, Zeyu Zhang, Guolin Mou, Pengtao Li, Qiqi Beijing Institute of Precision Mechatronics and Controls Beijing100076 China Laboratory of Aerospace Servo Actuation and Transmission Beijing100076 China

ISBN: (纸本)9798350309201

The thermal reliability of servo control drivers is an important link in the thermal reliability of aerospace aerodynamic control electromechanical servo systems, and the modeling and simulation analysis of their thermal characteristics are rarely studied. This article combines the model of aerospace power control electromechanical servo system to establish a thermal simulation model of servo control driver, and compares and analyzes the simulation results with actual experimental results. When applying slow position signals and fast sweep signals, the error between the simulated model servo control driver's rising temperature and the actual test results is within 3 ° C, which verifies the accuracy and effectiveness of the simulation model. It has significant significance for guiding the thermal design of aerospace power control electromechanical servo system control drivers and improving the power density of aerospace power control electromechanical servo system control drivers. © 2023 IEEE.

关键词： Reliability analysis

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An IoT Based Greenhouse Remote Monitoring System for automation of Supervision for Optimal Plant Growth 10

An IoT Based Greenhouse Remote Monitoring System for Automat...

引用

10th international conference on Advanced computing and communication Systems, ICACCS 2024

作者： Pradeep, M. Rinku, Dhruva R. Swapna, P. Jyothi, V. Athiraja, A. Prasannakumar, G. Shri Vishnu Engineering College for Women Department of Ece Andhrapradesh Bhimavaram India Cvr College of Engineering Department of Ece Telangana State Hyderabad India MalIa Reddy Engg. College Deprtment of It Telanagana State Secunderabad India Vardhaman college of Engineering Department of Ece Telangana State Hyderabad India Malla Reddy College of Engg. Department of Cse Telanagana State Secunderabad India Malla Reddy Engg. College Department of Ece Telanagana State Secunderabad India

ISBN: (纸本)9798350384369

A greenhouse regulates both indoor and outdoor characteristics to create a controlled environment that fosters ideal circumstances for plant development. This research presents a comprehensive remote monitoring system for greenhouses that is intended to identify and control important environmental factors. The system uses a variety of sensors to measure air pressure, soil moisture, pH, temperature, humidity, light, and carbon dioxide levels indoors. Rainfall and other outdoor factors, such as wind direction and speed, are also tracked. Sensors such as the DHT11 for temperature and humidity, the LM393 for light, the MG811 for carbon dioxide, the LM293 for soil moisture, the ES-PH-NOI-TR-l for soil pH, the IC-RK120-03 for wind speed and direction, and the ACS72981 for precipitation are all used by the greenhouse remote monitoring system. At predetermined places, these sensors continuously assess particular environmental parameters. They then use machine learning algorithms to send measurement data to the control platform. The system sends a signal to the controller of the associated sensor when it detects a change in value. This enables prompt modifications to be made using terminal valves (such as water valves, heating, droppers, and spray irrigation). Applications in agriculture, horticulture, and animal husbandry make use of the Internet of Things (IoT)-enabled greenhouse remote monitoring system, which offers vital information and makes real-time modifications for the proper growth of ecological crops possible. The system ensures scientific monitoring and management while automating supervision. Based on parameters like accuracy, sensitivity, specificity, fl-score, recall, and precision in relation to current techniques, a performance analysis of the suggested system is carried out. The goal of this research is to further greenhouse technology by providing a dependable and effective method for managing and cultivating plants in controlled conditions. © 2024 IEEE.

关键词： Soil moisture

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Robot Step Length Automatic control Method based on Virtual Reality Technology

Robot Step Length Automatic Control Method based on Virtual ...

引用

2022 international conference on Sustainable computing and Data communication Systems, ICSCDS 2022

作者： Yang, Ling Yangjiang Polytechnic Yangjiang529500 China

ISBN: (纸本)9781665478847

Based on virtual reality, this paper proposes a robot step length automation planning algorithm based on a linear inverted pendulum model. The algorithm first obtains the position of the center of mass when the support leg switches according to the step length to be achieved;for multi-robot groups, a hierarchical system is adopted Structure, hierarchical structure combines the advantages of centralized structure and distributed structure. In general, there is a master robot to master global information, and locally controlled robots can exchange information with each other. This structure makes group robots suitable for complex and changeable Work under the environment. So that it can reach the required footing position at the right time to switch the supporting feet. The algorithm can make the biped robot change the step length during the movement, which can improve its walking flexibility to 6.7%. © 2022 IEEE.

关键词： Virtual reality

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Study of Peer-to-peer Network Video Conferencing System 5

Study of Peer-to-peer Network Video Conferencing System

引用

5th international conference on control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2023

作者： War, Nu Nu Aung, Zayar University of Co-Operative and Management Sagaing Information and Communication Technology Sagaing Myanmar Tomsk Russia

ISBN: (纸本)9798350309126

As Video Conferencing plays an increasingly critical role in many business environments, there is a need to ensure highly reliable operation of the conferencing infrastructure. There are several Video Conferencing Applications that exist today. Each has its own performance enhancement techniques. This system works best with small group communication. It is client-transparent so that it can be used by the installed base of clients. This Video Conferencing system can be used for Audio-visual communication and sharing of documents, tables and picture, etc. In a Video Conferencing, participants can speak and see to each other in real time, just like having a face to face meeting. So, the opportunities to observe body language, to make eye contact, to visually demonstrate meaning, are invaluable. This system eliminates costly travel expense and wasted travel time. It is more cost and time effective communication than traditional written and telephone communication. © 2023 IEEE.

关键词： Travel time

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Time Delay control Method of Optical Fiber communication Network Based on Differential Evolution Algorithm

Time Delay Control Method of Optical Fiber Communication Net...

引用

2023 international conference on Networking, Informatics and computing, ICNETIC 2023

作者： Liu, Yufei Shandong Communication & Media College Jinan250200 China

ISBN: (纸本)9798350313314

With the continuous expansion of optical fiber communication network scale, rapid growth of capacity and increasingly rich services, it has become a major challenge for the future optical communication network to seek a new high-speed and large-capacity optical transmission mechanism. How to effectively reduce the time delay in optical fiber communication network has become a major problem in developing long-distance multi-channel optical fiber communication network. In this paper, the delay control method of optical fiber communication network based on DE (Differential evolution) algorithm is studied. Inspired by the initialization of fuzzy membership function of fuzzy neural network, an initialization method of uniformly distributed initial population is proposed. The initial individual can better cover the whole solution space area and improve the convergence speed of the algorithm. The research results show that the proposed method is 9.36% better than the literature algorithm in delay control. It is proved that the method in this paper improves the utilization rate of optical fiber data, and is an efficient time delay control method for long-distance multi-channel optical fiber communication network. © 2023 IEEE.

关键词： Time delay

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Revolutionizing Networking: An Exploration of Software-Defined Networking 2

Revolutionizing Networking: An Exploration of Software-Defin...

引用

2nd international conference on automation, computing and Renewable Systems, ICACRS 2023

作者： Hussain, Imran S. Yuvanesh, S. Yokesh, S. Department of Electronics and Communication Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9798350340235

Traditional networking designs are struggling to keep up with the needs of contemporary applications and consumers as networking technologies advance. The emergence of software-defined networking (SDN) as a viable technique to address these issues is encouraging. By dividing the network's control plane and data plane, allowing for programmable control of network resources, and supporting network virtualization, SDN allows for more adaptable and efficient network administration. Software-defined networking (SDN) is the subject of the study, which aims to describe its advantages and disadvantages, as well as its architecture, methodology, essential technologies (OpenFlow, network virtualization, SD-WAN), and other relevant topics. Both Google's deployment of SDN in its data centre networks and TMNA's deployment of SD-WAN are discussed in the article as real-world examples of successful SDN deployments. This research study also includes case studies of successful SDN deployments at individual firms, offering in-depth examination of the advantages and disadvantages of putting SDN into practice in the real world. The document also includes suggestions and best practices for deploying and managing SDN, as well as methods for addressing the issues that might arise during implementation. In the end, the article finds that software-defined networking is a promising technology with the potential to revolutionize network infrastructure by making it possible to administer networks in a way that is both more adaptive and more secure. However, in order to reap the advantages of SDN, deployment must be carefully planned and executed, and businesses must be willing to invest in new hardware and software. © 2023 IEEE.

关键词： network management network performance network security SDN architecture SDN flowchart SDN methodology software-defined networking

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Resource Savings in Wireless Sensor Networks by Replacing Classical control with Markovian Model-Based control 26

Resource Savings in Wireless Sensor Networks by Replacing Cl...

引用

2024 IEEE international conference on automation/26th Congress of the Chilean Association of Automatic control, ICA-ACCA 2024

作者： De Oliveira, Lucas W. Palma, Jonathan M. Morais, Cecilia F. Pontifícia Univ. Católica de Campinas Escola Politécnica SP Campinas Brazil Universidad de Talca Talca Facultad de Ingeniería Curicó Chile Fac. de Eng. Elétrica e de Computação SP Campinas Brazil

ISBN: (纸本)9798350378115

The main obstacle to implementing classic control projects over long distances is the high cost of installing and maintaining the infrastructure necessary to guarantee reliable communication, for instance, through wired networks. Wireless Sensor Networks (WSN) came as an alternative to the need for cabling. However, given the loss of information inherent to this type of transmission, to guarantee the stability of the closed-loop system, it is necessary to include several nodes (close to each other) throughout the communication network. In this context, this paper describes the possibility of performing remote control via WSN, aiming to improve the trade-off: good performance of the control system and reducing network expenses by allowing a decrease in the number of nodes. The proposed strategy consists of replacing the use of a classical control technique (Linear Quadratic Regulator - LQR) that requires full-reliable communication with a Markov model-based control technique, which provides theoretical guarantees of closed-loop system stability even when there is the possibility of packet loss (as is usual in WSN context). To illustrate the efficiency of the proposed approach, simulations of the dynamic behavior of a plant controlled through a wireless communication network are carried out using real statistical data obtained via experimental tests in a workbench emulation of a WSN with two nodes. © 2024 IEEE.

关键词： Markov processes

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YOLOv4-Powered Traffic Intelligence: From Detection to Optimization

YOLOv4-Powered Traffic Intelligence: From Detection to Optim...

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2024 IEEE international conference on Information Technology, Electronics and Intelligent communication Systems, ICITEICS 2024

作者： Sanjiv, Sinha Tharunn, E. Baskar, M. School of Computing College of Engineering and Technology Srm Institute of Science and Technology Department of Computing Technologies Chennai Kattankulathur India

ISBN: (纸本)9798350382693

The Traffic Analysis System utilizes machine learning for real-time traffic insights at a junction. It provides instant stats like vehicle count, density, and FPS, while summarizing average vehicle crossings, densities, stop times, and identifying peak minutes. Machine learning techniques include object detection, tracking, and lane segmentation. The system offers a user-friendly interface with graphical representations, aiding traffic management decisions. It not only ensures efficient traffic control but also allows for predictive analytics and potential integration with traffic light systems for adaptive signal adjustments. Continuous model training and future enhancements promise improved accuracy and adaptability to evolving traffic scenarios. © 2024 IEEE.

关键词： Machine learning

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The Observability in Unobservable Systems 17

The Observability in Unobservable Systems

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IEEE 17th international conference on control and automation (ICCA)

作者： Kang, Wei Xu, Liang Zhou, Hong Naval Postgrad Sch Dept Appl Math Monterey CA 93943 USA Univ Calif Santa Cruz Santa Cruz CA 95064 USA Naval Res Lab Marine Meteorol Div Monterey CA USA

ISBN: (数字)9781665495721

ISBN: (纸本)9781665495721

In this paper, we introduce the concept of observability of selected state variables for systems that may not be fully observable. For their estimation, we introduce and exemplify a deep filter, which is a neural network specifically designed for the estimation of selected state variables without computing the trajectory of the entire system. The observability definition is quantitative rather than a yes or no answer so that one can compare the level of observability between different sensor locations.

关键词： Training automation Neural networks Estimation Weather forecasting Filtering theory Trajectory

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