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Best practices and tools for creating WebSphere Commerce sites [[electronic resource] /] / [Hernan Cunico, Nicolai Nielsen, Sanjeev Sharma]
| Best practices and tools for creating WebSphere Commerce sites [[electronic resource] /] / [Hernan Cunico, Nicolai Nielsen, Sanjeev Sharma] |
| Autore | Cunico Hernan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | [S.l.], : IBM, International Technical Support Organization, c2005 |
| Descrizione fisica | 1 online resource (274 p.) |
| Altri autori (Persone) |
NielsenNicolai
SharmaSanjeev |
| Collana |
WebSphere software
IBM redbooks |
| Soggetto topico |
Electronic commerce
Web sites - Design |
| Soggetto genere / forma | Electronic books. |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910450120103321 |
Cunico Hernan
|
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| [S.l.], : IBM, International Technical Support Organization, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Best practices and tools for creating WebSphere Commerce sites [[electronic resource] /] / [Hernan Cunico, Nicolai Nielsen, Sanjeev Sharma]
| Best practices and tools for creating WebSphere Commerce sites [[electronic resource] /] / [Hernan Cunico, Nicolai Nielsen, Sanjeev Sharma] |
| Autore | Cunico Hernan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | [S.l.], : IBM, International Technical Support Organization, c2005 |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 658.8/72 |
| Altri autori (Persone) |
NielsenNicolai
SharmaSanjeev |
| Collana |
WebSphere software
IBM redbooks |
| Soggetto topico |
Electronic commerce
Web sites - Design |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910783530203321 |
|
Cunico Hernan
|
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| [S.l.], : IBM, International Technical Support Organization, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Climate Change Adaptation, Risk Management and Sustainable Practices in the Himalaya / / edited by Sanjeev Sharma, Jagdish Chandra Kuniyal, Pritam Chand, Pardeep Singh
| Climate Change Adaptation, Risk Management and Sustainable Practices in the Himalaya / / edited by Sanjeev Sharma, Jagdish Chandra Kuniyal, Pritam Chand, Pardeep Singh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (421 pages) |
| Disciplina |
411
363.73874095496 |
| Soggetto topico |
Climatology
Environmental management Sustainability Economic policy Social policy Climate Sciences Environmental Management Socio-Economic Policy |
| ISBN | 3-031-24659-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1-Introduction: Climate Change, adaptation and risk management for the mountain sustainability -- 2-Dynamics of demographic, socio-cultural, economic and ecological aspects -- 3-Indigenous knowledge system and traditional sustainable management practices in the Himalayan region -- 4-Anthropogenic intervention, globalized economic development impacts and trans border political issues in the Himalaya -- 5-Urbanization, migration and assessment of the carrying capacity of Himalayan mountain ecosystem -- 6-Environmental degradation and ecological instability: Issues, challenges and way forwarded in the Himalaya -- 7-Climate change, natural hazards and dynamics of landscape changes -- 8-Socio-economic, livelihood and ecological transformation in the Himalayan region -- 9-Human-animal conflicts and wildlife management in the Himalaya -- 10-Climate Change in glacial, periglacial and paraglacial regions of the Himalaya -- 11-Climate induced and geophysical disasters, and risk reduction management in mountains regions -- 12-Available field-based, geophysical and geospatial tools and techniques, their applied practice, strengths, and limitations to study Mountain environment -- 13-Millennium to centennial to contemporary period climate trends and associated climatic variability over the mountain areas of Himalaya -- 14-Regional variation of climatic changes and associated environmental modifications -- 15-Mountain policy, law, governance and role of Institutional and organization for sustaining Himalayan mountain ecosystem -- 16-Interface of technology-science-policy-society and environmental sustainability in the Himalaya -- 17-Integrated ecological restoration, upstream-downstream integration and sustainable development in the Himalaya -- 18-Integrated planning for mountain sustainability and sustainable development: new challenges, innovative approaches and way forward -- 19-Climate change coping strategies and climate smart communities adaptation in the Mountain ecosystem -- 20-Environmental Governance for Environmental Sustainability of Mountainous regions. |
| Record Nr. | UNINA-9910682597903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 1 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh
| Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 1 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh |
| Autore | Agrawal Jitendra |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 620.00285 |
| Altri autori (Persone) |
ShuklaRajesh K
SharmaSanjeev ShiehChin-Shiuh |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Engineering - Data processing
Application software Quantitative research Data Engineering Computer and Information Systems Applications Data Analysis and Big Data |
| ISBN | 981-9700-37-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Review of Methods for Handling Class-Imbalanced in Classification Problems -- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students -- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem -- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics -- An Efficient Hybrid Model to Summarize the Text using Transfer Learning -- Automatic Detection of Learner's Learning Style -- Construction of an Intelligent Knowledge based System using Transformer Model -- Machine Learning-Based Disease Diagnosis using Body Signals: A Review -- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms -- Sign Language Detection Through PCANet and SVM -- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method -- Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning -- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm -- Plant Disease Detection using Machine Learning Approaches: A Review -- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery -- A Machine Learning based Approach to Combat Hate Speech on Social Media -- Prediction of SARS – COVID – 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images -- Online Document Identification and Verification using Machine Learning Model. |
| Record Nr. | UNINA-9910886089303321 |
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Agrawal Jitendra
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 2 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh
| Data Engineering and Applications : Proceedings of the International Conference, IDEA 2K22, Volume 2 / / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh |
| Autore | Agrawal Jitendra |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (463 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
ShuklaRajesh K
SharmaSanjeev ShiehChin-Shiuh |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Engineering - Data processing
Application software Quantitative research Data Engineering Computer and Information Systems Applications Data Analysis and Big Data |
| ISBN | 981-9724-51-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Review of Methods for Handling Class-Imbalanced in Classification Problems -- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students -- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem -- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics -- An Efficient Hybrid Model to Summarize the Text using Transfer Learning -- Automatic Detection of Learner's Learning Style -- Construction of an Intelligent Knowledge based System using Transformer Model -- Machine Learning-Based Disease Diagnosis using Body Signals: A Review -- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms -- Sign Language Detection Through PCANet and SVM -- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method -- Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning -- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm -- Plant Disease Detection using Machine Learning Approaches: A Review -- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery -- A Machine Learning based Approach to Combat Hate Speech on Social Media -- Prediction of SARS – COVID – 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images -- Online Document Identification and Verification using Machine Learning Model. |
| Record Nr. | UNINA-9910886078603321 |
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Agrawal Jitendra
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data, engineering and applications : select proceedings of IDEA 2021 / / edited by Sanjeev Sharma, [and four others]
| Data, engineering and applications : select proceedings of IDEA 2021 / / edited by Sanjeev Sharma, [and four others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (693 pages) |
| Disciplina | 170 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Big data |
| ISBN | 981-19-4687-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Distortion Controlled Secure Reversible Data Hiding in H.264 Videos -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Distortion Cost Calculation and IPCM Selection -- 3.2 Data Embedding in IPCM Block -- 4 Results -- 4.1 PSNR Comparison -- 4.2 MSE Comparison -- 4.3 Embedding Capacity Comparison -- 5 Conclusion -- References -- A Method for Improving Efficiency and Security of FANET Using Chaotic Black Hole Optimization-Based Routing (BHOR) Technique -- 1 Introduction -- 2 Proposed Chaotic Black Hole Optimization-Based Routing (Chaotic BHOR) Technique -- 2.1 Key Link Exploitation -- 2.2 Link Energy Cost -- 2.3 Absolute Link Involvement -- 2.4 Black Hole Optimization (BHO) Technique -- 2.5 Absolute Drone Involvement -- 2.6 Working and Operation of Chaotic BHOR Technique -- 3 Result and Analysis -- 3.1 Packet Delivery Ratio (PDR) -- 3.2 End-To-End Delay (EED) -- 3.3 Power Expenses -- 3.4 Throughput -- 4 Conclusion -- References -- Machine Learning Techniques for Intrusion Detection System: A Survey -- 1 Introduction -- 2 Intrusion Detection -- 3 Intrusion Detection System -- 3.1 Types of IDS -- 3.2 Limitations of Traditional IDS -- 3.3 Survey on Intrusion Detection Method -- 4 Machine Learning -- 5 Machine Learning Techniques -- 5.1 Supervised Learning -- 5.2 Unsupervised Learning -- 5.3 Reinforcement Learning -- 6 Types of Machine Learning Techniques -- 6.1 Supervised Machine Learning Techniques -- 6.2 Unsupervised Machine Learning Techniques -- 7 Literature Survey -- 8 Conclusion -- References -- Software Fault Detection by Using Rider Optimization Algorithm (ROA)-Based Deep Neural Network (DNN) -- 1 Introduction -- 2 Software Quality -- 3 Software Faults and Testing -- 4 Objectives -- 5 Related Work -- 6 Datasets -- 7 Features Learning and Classifiers -- 8 Proposed Method -- 8.1 Dataset.
9 Rider Optimization-Based Features Selection for KNN -- 10 Fitness Function -- 11 Deep Neural Network-Based Fault Detection -- 12 Results and Discussion -- 13 Performance Evaluation -- 14 Comparative Study -- 15 Conclusion -- References -- An Approach for Predicting Admissions in Post-Graduate Programme by Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Support Vector Regression -- 3.2 Hyperplane -- 3.3 Kernel -- 3.4 Boundary Line -- 3.5 Support Vector -- 4 Proposed Method -- 4.1 Data Pre-processing -- 4.2 Data Partitioning -- 4.3 Fitting Model -- 4.4 Accuracy Evaluation -- 4.5 Importance of Variables -- 5 Implementation and Experimentation -- 5.1 User Interface (UI) Working -- 5.2 Server Working -- 5.3 User Interface of Web-Application -- 5.4 Working Manifestation -- 5.5 Critical Analysis -- 6 Conclusion -- References -- A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection -- 1 Introduction -- 2 Feature Selection -- 2.1 Feature Selection Classification -- 3 Representation Learning -- 3.1 Representation Learning Applications -- 3.2 Latent Representation Learning -- 3.3 Hypergraph Learning -- 4 Optimization Techniques -- 5 Literature Survey -- 6 Conclusion -- References -- Adoption of Blockchain Technology for Storage and Verification of Educational Documents -- 1 Introduction -- 2 Developing -- 2.1 Possibility of Using the Distributed Registry for the Document Storage -- 2.2 Blockchain Technology Offers the Following Five Benefits [8] -- 3 Conclusion -- References -- Obstacle Collision Prediction Model for Path Planning Using Obstacle Trajectory Clustering -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experimental Results -- 5 Conclusion -- References -- Human Saliency Based Object Detection from Natural Images -- 1 Introduction. 2 Background of Saliency Detection Models -- 2.1 Context-Aware Saliency Detection Model -- 2.2 Graph-Based Visual Saliency -- 2.3 Spectral Residual Approach -- 2.4 Itti and Koch Model -- 3 Methodology -- 4 Experimental Results and Discussion -- 4.1 Dataset -- 4.2 System Specification -- 4.3 Discussion -- 5 Conclusion -- References -- Dynamic Education Background: Procure the Maximum Initiation from PBL for Education Naïve Bayes Algorithm for Machine Learning -- 1 Introduction -- 2 Knowledge Policy in Engineering Teaching: The Problem-Based Learning Approach (PBL) -- 3 Case Study: Issues and Context PBL -- 4 Naïve Bayes Machine Learning Platform Analysis and Discussion (PBL) -- 5 Conclusion -- References -- Hybrid Microarray Gene Data Classification Based on GA-ACO Optimization -- 1 Introduction -- 2 Literature Review -- 3 System Design -- 3.1 Genetic Algorithm -- 3.2 Ant Colony Optimization -- 3.3 Hybrid Algorithm -- 4 Result and Discussion -- 5 Conclusion -- References -- An In-Field Real-Time Automatic Weed Detection Using Deep Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Methodology and Approach -- 3.1 Methodology -- 3.2 Dataset Collection -- 3.3 Approach -- 4 Results and Discussion -- 4.1 Training -- 4.2 Performance Metrics -- 4.3 Result -- 5 Conclusion and Future Work -- References -- Sentiment Analysis of Indians Due to Conflict Between India and China at the Actual Line of Control in Galwan Valley, Ladakh -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Extracting Data -- 3.2 Data Cleaning -- 3.3 Natural Language Processing (NLP) -- 3.4 Getting Subjectivity and Polarity of Each Tweet -- 3.5 Assigning Positive, Negative, and Neutral Sentiments -- 4 Experimental Results -- 5 Conclusion -- References -- Feature Selection Using Information Gain for Software Effort Prediction Using Neural Network Model. 1 Introduction -- 2 Related Work -- 2.1 ANN for Software Effort Estimation -- 2.2 Feature Selection -- 2.3 Proposed Problem -- 3 Artificial Neural Network (ANN) -- 3.1 FITNET: Feed-Forward Neural Network with Multiple Layers -- 4 Experiment Design -- 4.1 Datasets -- 4.2 Overall Procedure -- 4.3 Evaluation Metrics -- 5 Results and Discussion -- 6 Conclusions and Future Possibilities -- References -- A Comprehensive Survey of Web and Mobile Apps for Fishermen -- 1 Introduction -- 1.1 Motivation -- 2 Literature Survey -- 2.1 Survey of Web Apps -- 2.2 Survey of Mobile Applications -- 3 Discussion on the Identified Web and Mobile Apps -- 3.1 Requirements of the Fishermen -- 4 Conclusion -- References -- Study of Machine Learning Classifiers for Intrusion Detection System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Machine Learning Classifiers -- 4 Results and Discussion -- 5 Conclusion -- References -- The Analysis of Time Series Data -- 1 Introduction -- 2 Literature Review -- 2.1 Biopharmaceutical Community -- 2.2 Statistical Computing and Programming Environment -- 2.3 Roadmap -- 2.4 Popularity of the Internet -- 2.5 Spatial Associations and Trends in Mobility -- 2.6 Proxy for Inventive Product -- 2.7 Understanding of Technology -- 3 Methodology -- 4 Result and Observations -- 5 Conclusion and Future Scope -- References -- Computed Tomography Image Processing Methods for Lung Nodule Detection and Classification: A Review -- 1 Introduction -- 2 Existing Techniques -- 3 Result and Discussion -- 4 Conclusion -- References -- Implementation and Analyzing SURF Feature Detection and Extraction on WANG Images Using Custom Bag of Features Model -- 1 Introduction -- 2 Detection and Extraction of Local Features -- 2.1 Feature Detection and Extraction Using SURF -- 3 Bag of Visual Words -- 4 Classifier: SVM (Supervised Vector Machine). 5 Dataset, Implementation, and Results -- 5.1 Dataset -- 5.2 BOVW Bag of Feature Model -- 5.3 Algorithm BOVW for Bag of Feature Model -- 5.4 Implementation -- 5.5 Results -- 5.6 Analysis -- 6 Conclusions and Future Work -- References -- Machine Learning Approaches for Image-Based Screening of Cervical Cancer -- 1 Introduction -- 2 Approaches Used for Image-Based Applications -- 2.1 Traditional Machine Learning-Based Methods -- 2.2 Challenges with the Traditional Approaches -- 2.3 Deep-Learning-Based Methods -- 3 Dataset -- 3.1 Herlev Dataset -- 3.2 SIPaKMed Database -- 3.3 CRIC Searchable Image Database -- 3.4 Overlapping Cells Dataset of ISBI 2014 and ISBI 2015 Challenge -- 3.5 National Cancer Institute (NCI) -- 4 Performance Measures -- 4.1 Evaluation Metrics for Recognition Tasks at the Cellular-Level and Cervigram Images -- 4.2 Evaluation Metrics for Segmentation Task in ISBI 2014 and ISBI 2015 Challenge -- 5 Discussion and Conclusion -- References -- A Comparative Analysis of Image Steganography Based on Discrete Wavelet Transform (DWT) and Exploiting Modification Direction (EMD) -- 1 Introduction -- 2 Review -- 2.1 Least Significant Bit (LSB)-Based Methods -- 2.2 Least Significant Bit (LSB)-Based Methods -- 3 Discussion -- 4 Conclusion -- References -- Web Attack Detection Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 4 System Implementation and Result Analysis -- 5 Conclusion -- References -- Pragmatic Analysis of Web Service Discovery Models and Architectures from a Qualitative Perspective -- 1 Introduction -- 2 Literature Review -- 3 Quantitative Analysis -- 4 Conclusion and Future Scope -- References -- An Integrated Semi-Supervised Learning Framework for Image Compression Using DCT, Huffman Encoding, and LZW Coding -- 1 Introduction -- 2 Literature Review -- 3 Methodology. 3.1 Compression Techniques. |
| Record Nr. | UNISA-996495563703316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Smart Hospitals : 5G, 6G and Moving Beyond Connectivity
| Smart Hospitals : 5G, 6G and Moving Beyond Connectivity |
| Autore | Kumar Arun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (275 pages) |
| Disciplina | 362.110285 |
| Altri autori (Persone) |
GuptaManoj
SharmaSanjeev SharmaEr. Himanshu AurangzebKhursheed |
| Soggetto topico |
Internet of things
Medical technology |
| ISBN |
9781394275472
1394275471 9781394275458 1394275455 9781394275465 1394275463 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Chapter 1 Smart Hospitals: Integrating Connectivity and Intelligence -- 1.1 Introduction -- 1.1.1 Exploring the Concept of Smart Hospitals -- 1.1.2 Working of Smart Hospitals -- 1.2 Implementation of Smart Hospitals -- 1.2.1 Benefits of Smart Hospitals -- 1.2.1.1 Benefits of Implementing IoT in Healthcare -- 1.2.1.2 Benefits of Adopting 5G in Healthcare -- 1.2.2 Challenges of Smart Hospitals -- 1.2.3 Opportunities -- 1.3 Literature Review -- 1.4 Conclusion -- References -- Chapter 2 Evolution of 5G and 6G Cellular Systems -- 2.1 Introduction -- 2.2 Objectives of the Study -- 2.3 Scope and Significance -- 2.4 Basics of Cellular Technology -- 2.4.1 Overview of 1G to 4G -- 2.4.2 Key Features and Advancements -- 2.5 5G Technology -- 2.5.1 Introduction to 5G -- 2.5.2 Key Features and Components -- 2.5.3 Deployment Challenges -- 2.5.4 Use Cases and Applications -- 2.6 Towards 6G -- 2.6.1 Definition and Concept of 6G -- 2.6.2 Envisioned Applications and Use Cases -- 2.6.3 Key Technology Requirements -- 2.7 Technologies Enabling 6G -- 2.7.1 Artificial Intelligence and Machine Learning -- 2.7.2 Terahertz Communication -- 2.7.3 Quantum Communication -- 2.8 Challenges in 6G Developments -- 2.8.1 Technical Challenges -- 2.8.2 Regularity and Standardization Challenges -- 2.8.3 Security and Privacy Concerns -- 2.9 Future Prospects and Industry Impacts -- 2.9.1 Anticipated Benefits of 6G -- 2.9.2 Potential Disruptions in Industries -- 2.9.3 Economic and Social Implications -- 2.10 Comparative Analysis: 5G Versus 6G -- 2.10.1 Speed and Latency -- 2.10.2 Network Capacity -- 2.10.3 Energy Efficiency -- 2.10.4 User Experience -- 2.11 Main Contribution of 5G and 6G Evolution -- 2.12 Limitations of 5G and 6G Cellular System -- 2.12.1 Limitations of 5G.
2.12.2 Potential Limitations of 6G (Anticipated) -- 2.13 Conclusion -- 2.13.1 Summary of Findings -- 2.13.2 Future Research Directions -- References -- Chapter 3 A Review on Augmented Reality and Virtual Reality Technologies in the Field of Healthcare -- Abbreviation -- 3.1 Introduction -- 3.2 Augmented Reality in Healthcare -- 3.2.1 Surgical Guidance -- 3.2.2 Enhancement of Decision-Making -- 3.2.3 Improved Collaboration and Training -- 3.2.4 Medical Diagnosis and Visualization -- 3.2.5 Remote Assistance and Collaboration -- 3.3 Virtual Reality in Healthcare -- 3.3.1 Medical Training and Education -- 3.3.2 Exposure Therapy -- 3.3.3 Painless Treatment -- 3.3.4 Physical Rehabilitation -- 3.4 Advantages of AR and VR in the Healthcare -- 3.4.1 Possible Remedies for Bridging the Gap -- 3.5 Challenges and Future Scope -- 3.6 Conclusion -- References -- Chapter 4 Compressed Sensing Reconstruction Algorithms for Medical Images - A Comparison -- 4.1 Introduction -- 4.2 Concept of Compressed Sensing Theory -- 4.3 Comprehensive Sensing Reconstruction Algorithms -- 4.4 Results and Discussion -- 4.5 Contribution of the Work -- 4.6 Limitations -- 4.7 Conclusion -- References -- Chapter 5 Internet of Medical Things (IoMT) -- 5.1 Introduction: Internet of Medical Things -- 5.1.1 Defining the IoMT -- 5.1.2 Development and Growth of IoMT Technologies -- 5.1.2.1 Early Beginnings of IoMT -- 5.1.2.2 Advancements in Sensor Technologies -- 5.1.2.3 Connectivity Solutions for IoMT -- 5.1.2.4 Data Analytics and AI in IoMT -- 5.2 Wearable Devices and Sensors for IoMT -- 5.2.1 Types of Wearable Devices -- 5.2.1.1 Smartwatches -- 5.2.1.2 Wristbands -- 5.2.1.3 Neckbands -- 5.2.1.4 Belts -- 5.2.1.5 Smart Clothing -- 5.2.1.6 Smart Rings -- 5.2.1.7 Smart Glasses -- 5.2.1.8 Smart Patches -- 5.2.1.9 Smart Earbuds -- 5.3 Challenges Faced in Customizing Wearable Devices. 5.4 Real-World Examples of IoMT Implementation -- 5.4.1 Remote Patient Monitoring (RPM) -- 5.4.2 Wearable Devices for Chronic Disease Management -- 5.4.3 Smart Hospitals and Healthcare Facilities -- 5.4.4 Telemedicine and Virtual Care -- 5.4.5 Clinical Trials and Research -- 5.5 Conclusions -- References -- Chapter 6 The Impact of 5G and 6G on Healthcare -- 6.1 Introduction: The Evolution of Wireless Connectivity: A Journey from 4G to 6G -- 6.1.1 4G Technology: The Foundation of Mobile Broadband -- 6.1.2 5G Technology: Unleashing the Power of Connectivity -- 6.1.3 6G Technology: Envisioning the Future Frontier -- 6.1.4 Revolutionizing Healthcare: Significance of 4G, 5G, and the Anticipated Impact of 6G -- 6.2 Telemedicine and Remote Patient Monitoring -- 6.3 IoT in Healthcare and Advanced Medical Imaging -- 6.4 Anticipated Impact of 6G in Healthcare -- 6.5 Current State of Healthcare Connectivity -- 6.5.1 Traditional Communication Methods -- 6.5.2 Electronic Health Records (EHR) and Health Information Exchange (HIE) -- 6.5.3 Telemedicine and Video Conferencing -- 6.5.4 Mobile Health (mHealth) Apps and Wearables -- 6.5.5 Unified Communication Platforms -- 6.5.6 Challenges and Future Trends -- 6.6 Limitations and Hurdles in Current Healthcare Communication Systems -- 6.6.1 Interoperability Issues -- 6.6.2 Security and Privacy Concerns -- 6.6.3 Fragmented Communication Channels -- 6.6.4 Resistance to Technology Adoption -- 6.6.5 Limited Patient Engagement -- 6.6.6 Inadequate Infrastructure and Connectivity -- 6.7 Impact of 5G on Healthcare -- 6.7.1 Enhanced Telemedicine and Remote Care -- 6.7.2 Precision Medicine and Personalized Care -- 6.8 The 6G Horizon: Unveiling the Potential Frontiers of Advanced Connectivity -- 6.9 Terahertz-Frequency Communication -- 6.10 Ultra-Reliable, Low-Latency Communication (URLLC) -- 6.11 Holographic Communication. 6.12 Advanced Artificial Intelligence Integration -- 6.13 Massive Device Connectivity -- 6.14 Environmental and Energy Efficiency -- 6.15 Designing an Antenna for Healthcare Applications -- 6.16 Conclusion -- References -- Chapter 7 Design and Fabrication of Vehicle Automation Systems -- Nomenclatures -- 7.1 Introduction -- 7.2 Related Work -- 7.2.1 Innovation in Autonomous Vehicles -- 7.3 Design of the Project -- 7.3.1 Arduino Uno -- 7.3.2 Ultrasonic Sensor -- 7.3.3 Motor Driver Shield -- 7.3.4 Servo Motor -- 7.3.5 Battery -- 7.3.6 Switch -- 7.3.7 DC Motors -- 7.4 Fabrication -- 7.4.1 Algorithm -- 7.5 Conclusion -- 7.5.1 Implementation -- 7.6 Future Scope -- References -- Chapter 8 Design and Optimization of Antennas with Improved ON-OFF Body Performance for Biomedical Applications -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Antenna Design -- 8.3.1 Antenna Without Phantom Model -- 8.3.1.1 Parametric Analysis -- 8.3.1.2 Stack Diagram -- 8.3.1.3 Results Scattering Parameters (S-Parameters) -- 8.3.1.4 Voltage Standing Wave Ratio (VSWR) -- 8.3.1.5 Radiation Pattern -- 8.3.2 Antenna with Implantable Phantom Model -- 8.3.2.1 Parametric List of the Phantom Model -- 8.3.2.2 Results S-Parameters -- 8.3.2.3 VSWR -- 8.3.2.4 Radiation Pattern -- 8.3.2.5 Specific Absorption Rate (SAR) -- 8.3.3 Antenna with a Wearable Phantom Model -- 8.3.3.1 Results S-Parameters -- 8.3.3.2 VSWR -- 8.3.3.3 Radiation Pattern -- 8.3.3.4 SAR -- 8.3.4 Antenna Placed 10mm Away from the Phantom Model -- 8.3.4.1 Result S-Parameters -- 8.3.4.2 VSWR -- 8.3.4.3 Radiation Pattern -- 8.3.4.4 SAR -- 8.3.5 Antenna Placed 15mm Away from Phantom Model -- 8.3.5.1 Results S-Parameters -- 8.3.5.2 VSWR -- 8.3.5.3 Radiation Pattern -- 8.3.5.4 SAR -- 8.4 Comparison Results -- 8.4.1 S-Parameters -- 8.4.2 Gain -- 8.4.3 SAR -- 8.5 Limitations -- 8.6 Conclusion -- References. Chapter 9 Beyond 5G-Based Smart Hospitals: Integrating Connectivity and Intelligence -- 9.1 Introduction -- 9.2 Related Works -- 9.3 Methodology -- 9.4 6G-Enabled SHS Applications and Challenges -- 9.4.1 Applications -- 9.4.1.1 In-Body, On-Body, Off-Body Communications -- 9.4.1.2 Intelligent Nanoscale Inner Body Communications -- 9.4.1.3 Human Bond Communications -- 9.4.1.4 Visible Light Communication -- 9.4.2 Research Challenges -- 9.4.2.1 Security and Privacy -- 9.4.2.2 Data Sharing -- 9.4.2.3 Voluminous Data -- 9.4.2.4 High Power Consumption -- 9.4.2.5 Lack of Standardization -- 9.4.2.6 Computationally Expensive -- 9.4.2.7 Ownership of Data and Ethical Considerations -- 9.5 Future Research Directions and Recommendations -- 9.5.1 Future Directions -- 9.5.2 Recommendations -- 9.6 Conclusions -- References -- Chapter 10 Patient Monitoring Using 5G, with MIMO-NOMA for mm-Wave Communications in Heterogeneous Networks -- 10.1 Introduction -- 10.2 Related Works -- 10.3 NOMA Architecture -- 10.4 Power Allocation to the 5G-Enabled NOMA Users and Hospital -- 10.5 NOMA-MIMO System -- 10.6 Results and Discussion -- 10.6.1 BER Analysis of Number of Users -- 10.6.2 Outage Probability Using NOMA Power Allocation -- 10.6.3 Power Consumption Between NOMA and OMA Users -- 10.7 Conclusion and Future Scope -- References -- Chapter 11 A Review on the Internet of Medical Things -- 11.1 Introduction -- 11.1.1 Definition -- 11.2 Architecture of IoMT -- 11.2.1 The Role of IoMT in Healthcare -- 11.2.1.1 Data-Driven Decisions -- 11.2.1.2 Smart Medical Devices -- 11.2.1.3 Efficient Processes -- 11.2.1.4 Global Assistance -- 11.2.2 Types of IoMT Devices -- 11.2.2.1 On-Body Segment -- 11.2.2.2 In-Home Segment -- 11.2.2.3 Community Segment -- 11.2.2.4 In-Hospital Segment -- 11.3 IoMT - Applications, Benefits and Challenges -- 11.3.1 Applications of IoMT. 11.3.1.1 The Sensor Patch Detects Blood Leakage During Hemodialysis. |
| Record Nr. | UNINA-9911019923303321 |
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Kumar Arun
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social Networking and Computational Intelligence : Proceedings of SCI-2018 / / edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Narendra S. Chaudhari, K. K. Shukla
| Social Networking and Computational Intelligence : Proceedings of SCI-2018 / / edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Narendra S. Chaudhari, K. K. Shukla |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (789 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Electrical engineering Computational Intelligence Communications Engineering, Networks |
| ISBN | 981-15-2071-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Acknowledgements -- Organizing Committee -- About the Conference -- Table of Contents -- About the Editors -- 60 -- Author Index. |
| Record Nr. | UNINA-9910484756303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable management of potato pests and diseases / / Swarup Kumar Chakrabarti, Sanjeev Sharma and Mohd Abas Shah, editors
| Sustainable management of potato pests and diseases / / Swarup Kumar Chakrabarti, Sanjeev Sharma and Mohd Abas Shah, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (544 pages) |
| Disciplina | 635.2198 |
| Soggetto topico |
Potatoes - Diseases and pests - Control
Sustainable agriculture Potatoes - Diseases and pests |
| ISBN |
981-16-7694-1
981-16-7695-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- 1: Potato Pests and Diseases: A Global Perspective -- 1.1 Introduction -- 1.2 Pests and Diseases of Potato: Economic Importance -- 1.2.1 Emerging Pests and Diseases -- 1.3 Effect of Climate Change on Occurrence and Distribution of Potato Pests and Diseases -- 1.4 Pests and Pathogens of Quarantine Significance -- 1.5 Innovations in Disease Diagnostics -- 1.6 Development in the Area of Pest/Disease Forecasting -- 1.7 Innovations in Pest and Disease Management -- 1.8 Conclusion -- References -- 2: Phytosanitary Standards and International Exchange of Potato -- 2.1 Background -- 2.2 Role of Standards and Regulations -- 2.3 The International Plant Protection Convention (IPPC) -- 2.3.1 International Standards on Phytosanitary Measures -- 2.3.2 Process for Developing International Standards for Phytosanitary Measures (ISPMs) -- 2.4 Phytosanitary Standards Relevant to Exchange of Potato -- 2.4.1 ISPM 1: Phytosanitary Principles for the Protection of Plants and the Application of Phytosanitary Measures in Internati... -- 2.4.2 ISPM 2: Framework for Pest Risk Analysis (Adopted in 1995, Revised in 2007) -- 2.4.3 ISPM 3: Guidelines for the Export, Shipment, Import, and Release of Biological Control Agents and Other Beneficial Organ... -- 2.4.4 ISPM 4: Requirements for the Establishment of Pest-Free Areas (Adopted in 1995) -- 2.4.5 ISPM 5: Glossary of Phytosanitary Terms (Updated as Needed) -- 2.4.6 ISPM 6: Surveillance (Adopted in 1997, Revised in 2018) -- 2.4.7 ISPM 7: Phytosanitary Certification System (Adopted in 1997, Revised in 2011) -- 2.4.8 ISPM 8: Determination of Pest Status in an Area (Adopted in 1998) -- 2.4.9 ISPM 9: Guidelines for Pest Eradication Programs (Adopted in 1998).
2.4.10 ISPM 10: Requirements for the Establishment of Pest-Free Places of Production and Pest-Free Production Sites (Adopted i... -- 2.4.11 ISPM 11: Pest Risk Analysis for Quarantine Pests (Adopted in 2001, Revised in 2004 and 2013) -- 2.4.12 ISPM 12: Phytosanitary Certificates (Adopted in 2001, Revised in 2011)-Appendix 1: Electronic Phytosanitary Certificate... -- 2.4.13 ISPM 13: Guidelines for the Notification of Noncompliance and Emergency Action (Adopted in 2001) -- 2.4.14 ISPM 14: The Use of Integrated Measures in a Systems Approach for Pest Risk Management (Adopted in 2002) -- 2.4.15 ISPM 16: Regulated Non-quarantine Pests: Concept and Application (Adopted in 2002) -- 2.4.16 ISPM 17: Pest Reporting (Adopted in 2002) -- 2.4.17 ISPM 18: Guidelines for the Use of Irradiation as a Phytosanitary Measure (Adopted in 2003) -- 2.4.18 ISPM 19: Guidelines on Lists of Regulated Pests (Adopted in 2003) -- 2.4.19 ISPM 20: Guidelines for a Phytosanitary Import Regulatory System (Adopted in 2004, Revised in 2017) -- 2.4.19.1 Annex 1 Arrangements for verification of compliance of consignments by the importing country in the exporting country... -- 2.4.20 ISPM 21: Pest Risk Analysis for Regulated Non-quarantine Pests (Adopted in 2004) -- 2.4.21 ISPM 22: Requirements for the Establishment of Areas of Low Pest Prevalence (Adopted in 2005) -- 2.4.22 ISPM 23: Guidelines for Inspection (Adopted in 2005) -- 2.4.23 ISPM 24: Guidelines for the Determination and Recognition of Equivalence of Phytosanitary Measures (Adopted in 2005) -- 2.4.24 ISPM 25: Consignments in Transit (Adopted in 2006) -- 2.4.25 ISPM 27: Diagnostic Protocols for Regulated Pests (Adopted in 2006) -- 2.4.26 ISPM 28: Phytosanitary Treatments for Regulated Pests (Adopted in 2007) -- 2.4.27 ISPM 29: Recognition of Pest-Free Areas and Areas of Low Pest Prevalence (Adopted in 2007). 2.4.28 ISPM 31: Methodologies for Sampling of Consignments (Adopted in 2008) -- 2.4.29 ISPM 32: Categorization of Commodities According to their Pest Risk (Adopted in 2009) -- 2.4.30 ISPM-33: Pest-Free Potato (Solanum Spp.) Micropropagative Material and Minitubers for International Trade -- 2.4.31 ISPM 42: Requirements for the Use of Temperature Treatments as a Phytosanitary Measures (Adopted in 2018) -- 2.5 National Standards: The Case of India -- 2.6 Perspectives -- References -- 3: Fungicide Resistance: Threats and Management Approaches -- 3.1 Introduction -- 3.2 History of Chemical Control and Resistance -- 3.3 Resistance Defined -- 3.4 Mechanism of Resistance -- 3.4.1 Alteration of the Target Site so that Sensitivity to the Fungicide Is Reduced -- 3.4.2 Detoxification or Metabolism of the Fungicide -- 3.4.3 Overexpression of the Target -- 3.4.4 Exclusion or Expulsion from the Target Site -- 3.5 Evaluating Resistance Risk -- 3.6 Detecting and Monitoring Resistance -- 3.6.1 Bioassays -- 3.6.2 Molecular Assays -- 3.6.3 Biochemical Assays -- 3.7 Fungicide Resistance Management Approaches -- 3.7.1 Managing the Application Dose -- 3.7.2 Managing the Number of Sprays -- 3.7.3 The Use of Fungicide Mixtures -- 3.7.4 The Use of Fungicide Alternations -- 3.7.5 Alternations Versus Mixtures -- 3.7.6 Protective Versus Curative Use -- 3.8 Fungicide Resentence Action Committee (FRAC) -- 3.8.1 Purpose -- 3.8.2 FRAC Guidelines -- 3.9 FRAC Guidelines: Potato Diseases -- 3.9.1 Oxysterol Binding Protein Homologue Inhibitor (OSBPI) Fungicides (FRAC Code 49) (Updated April 2021) -- 3.9.2 QoI Fungicides (FRAC Code 11) (Updated June 2020) -- 3.9.3 Late Blight (Phytophthora Infestans) -- 3.9.4 Early Blight (Alternaria Solani, Alternaria Alternata) -- 3.9.5 CAA Fungicides (FRAC Code 40) (Updated April 2020). 3.9.6 Phenylamide Fungicides (FRAC Code 4) (Updated March 2020) -- 3.9.7 QiI Fungicides (FRAC Code 21) (Updated February 2021) -- 3.9.8 Fluzinam Fungicides (FRAC Code 29) (Updated June 2020) -- 3.9.9 Cymoxanil Fungicides (FRAC Code 27) (Updated February 2021) -- 3.9.10 Ametoctradin Fungicides (FRAC Code 45) (Updated June 2021) -- 3.10 Importance of Multisite Fungicides in Managing Pathogen Resistance -- 3.11 Conclusion and Future Outlook -- References -- 4: Role of Plant Nutrition in Disease Development and Management -- 4.1 Introduction -- 4.2 Plant Nutrition, Disease Occurrence, and Host-Pathogen Interactions in Relation to Nutrient Acquisition -- 4.3 Plant Nutrition and Systemic Induced Resistance or Systemic Acquired Resistance -- 4.4 Role of Nutrient Elements in Disease Incidence -- 4.4.1 Nitrogen -- 4.4.2 Phosphorus -- 4.4.3 Potassium -- 4.4.4 Calcium -- 4.4.5 Sulfur and Magnesium -- 4.4.6 Micronutrients -- 4.4.6.1 Zinc -- 4.4.6.2 Boron -- 4.4.6.3 Manganese -- 4.4.6.4 Copper -- 4.4.6.5 Iron -- 4.4.6.6 Chlorine -- 4.4.7 Beneficial Elements -- 4.5 Cultural Methods for Improved Plant Nutrition and Disease Resistance -- 4.5.1 Soil Organic Matter -- 4.5.2 Crop Rotation and Cover Crops -- 4.5.3 Intercropping -- 4.5.4 Soil Tillage -- 4.6 Future Perspectives -- 4.7 Conclusion -- References -- 5: Secondary Metabolites of Microbials as Potential Pesticides -- 5.1 Introduction -- 5.2 Secondary Metabolites in Pest Management -- 5.3 Fungal Secondary Metabolites Against Pests of Agricultural Importance -- 5.4 Bacterial Secondary Metabolites Against Pests of Agricultural Importance -- 5.5 Secondary Metabolites Against Plant Parasitic Nematodes -- 5.6 Mode of Action of Secondary Metabolites Against Insect Pest and Diseases -- 5.6.1 Mode of Action of Secondary Metabolites of Entomopathogenic Bacteria -- 5.6.1.1 Mode of Action of Cry Toxins in Lepidoptera. 5.6.1.2 Mode of Action of Cyt Toxins in Diptera -- 5.6.1.3 Mode of Action of Vegetative Insecticidal Proteins (VIPs) -- 5.6.1.4 Mode of Action of Thuringiensin -- 5.6.2 Mode of Action of Secondary Metabolites of Entomopathogenic Fungi -- 5.6.2.1 Mechanism of Insecticidal Activity of Destruxins -- 5.6.2.2 Mode of Action of Beauvericin -- 5.7 Mass Production of Secondary Metabolites of Microbes -- 5.8 Pros and Cons to the Use of Secondary Metabolites in Pest Management -- 5.8.1 Pros of Secondary Metabolites in Pest Management -- 5.8.2 Cons of Secondary Metabolites in Pest Management -- 5.9 Success Stories on the Use of Secondary Metabolites for Pest Management -- 5.9.1 Secondary Metabolites in Insect Pest Management -- 5.9.1.1 Spinosads -- 5.9.1.2 Avermectins -- 5.9.2 Secondary Metabolites in Disease Management -- 5.9.2.1 Strobularins -- 5.9.3 Secondary Metabolites in Weed Management -- 5.9.3.1 Glufosinate -- 5.10 Conclusion and Future Prospects -- References -- 6: Advances and Approaches in Mitigating Bacterial Diseases of Potato -- 6.1 Introduction -- 6.2 Bacterial Wilt -- 6.2.1 Symptoms -- 6.2.2 Causal Organism -- 6.2.3 Disease Occurrence and Distribution -- 6.2.4 Disease Cycle -- 6.2.5 Survival -- 6.2.6 Spread -- 6.2.7 Management -- 6.2.7.1 Healthy Seed -- 6.2.7.2 Field Sanitation and Cultural Management -- 6.2.7.3 Chemical Control -- 6.2.7.4 Biological Control -- 6.2.7.5 Breeding for Resistance -- 6.3 Common Scab of Potato -- 6.3.1 Symptoms -- 6.3.2 Causal Organism -- 6.3.3 Disease Occurrence and Distribution -- 6.3.4 Disease Cycle -- 6.3.5 Management -- 6.4 Bacterial Soft Rot -- 6.4.1 Symptoms -- 6.4.2 Causal Organism -- 6.4.3 Disease Occurrence and Distribution -- 6.4.4 Disease Cycle -- 6.4.5 Management -- 6.5 Conclusion and Future Outlook -- References -- 7: Advances in Management of Late Blight of Potato -- 7.1 Introduction. 7.2 The Causal Organism. |
| Record Nr. | UNINA-9910743211303321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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