Innovative Approaches To Agricultural Plant Disease Identification Integrating Deep Learning Into Traditional Methods
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Innovative Approaches To Agricultural Plant Disease Identification Integrating Deep Learning Into Traditional Methods
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Author : Yongliang Qiao
language : en
Publisher: Frontiers Media SA
Release Date : 2025-02-27
Innovative Approaches To Agricultural Plant Disease Identification Integrating Deep Learning Into Traditional Methods written by Yongliang Qiao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Science categories.
Identifying and managing plant diseases is a critical aspect of agriculture, significantly impacting the economy and food security. The early detection and management of plant diseases are essential to maintain healthy crops, reduce plant damage, and ensure high yields and quality of agricultural products. The traditional approach involves visually observing symptoms and abnormal growth patterns, which is often limited by the subjectivity of human observation and labor costs. Nowadays, traditional manual inspection of plant diseases is being replaced by advanced techniques, such as sensing networks, machine vision, remote sensing, and robotics. Researchers and engineers have developed numerous plant disease identification techniques and automatic disease inspection systems over the last few decades.
Generative Artificial Intelligence For Biomedical And Smart Health Informatics
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Author : Aditya Khamparia
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-05
Generative Artificial Intelligence For Biomedical And Smart Health Informatics written by Aditya Khamparia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Medical categories.
Enables readers to understand the future of medical applications with generative AI and related applications Generative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. The book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context. The book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices. Topics covered include: Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference for computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence and other related technologies in healthcare.
Innovations In Cybersecurity And Data Science
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Author : Syed Muzamil Basha
language : en
Publisher: Springer Nature
Release Date : 2024-12-12
Innovations In Cybersecurity And Data Science written by Syed Muzamil Basha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-12 with Computers categories.
This book features research papers presented at International Conference on Innovations in Cybersecurity and Data Science (ICICDS 2024), held at Reva University, Bengaluru, India during 15 – 16 March 2024. The book presents original research work in the field of computer science, computer applications, information technology, artificial intelligence, and other relevant fields of IoT, big data, data management and analytics, and security. The book is beneficial for readers from both academia and industry.
Microbial Data Intelligence And Computational Techniques For Sustainable Computing
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Author : Aditya Khamparia
language : en
Publisher: Springer Nature
Release Date : 2024-02-29
Microbial Data Intelligence And Computational Techniques For Sustainable Computing written by Aditya Khamparia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Science categories.
This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques. Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists,plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.
Computational Intelligence In Machine Learning
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Computational Intelligence In Machine Learning written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture
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Author : Muhammad Fazal Ijaz
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-19
Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture written by Muhammad Fazal Ijaz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Science categories.
Proceedings Of International Conference On Recent Innovations In Computing
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Author : Yashwant Singh
language : en
Publisher: Springer Nature
Release Date : 2024-11-28
Proceedings Of International Conference On Recent Innovations In Computing written by Yashwant Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.
This book features selected papers presented at the 6th International Conference on Recent Innovations in Computing (ICRIC 2023), held on 26–27 October 2023 at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Advances In Artificial Business Analytics And Quantum Machine Learning
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Author : KC Santosh
language : en
Publisher: Springer Nature
Release Date : 2024-09-18
Advances In Artificial Business Analytics And Quantum Machine Learning written by KC Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.
This book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of communication engineering.
Advances In Electrical And Computer Technologies
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Author : Thangaprakash Sengodan
language : en
Publisher: CRC Press
Release Date : 2025-07-04
Advances In Electrical And Computer Technologies written by Thangaprakash Sengodan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Technology & Engineering categories.
This book comprises a selection of papers presented at the Sixth International Conference on Advances in Electrical and Computer Technologies (ICAECT 2024). It compiles groundbreaking research and advancements in the field of electrical engineering, electronics engineering, computer engineering and communication technologies. The book touches upon a wide array of topics including smart grids, soft computing techniques in power systems, smart energy management systems, and power electronics under the Electrical Engineering track; and biomedical engineering, antennas and waveguides, image and signal processing, and broad band and mobile communication under the Electronics Engineering track. With special emphasis on Computer Engineering, this book highlights emerging trends in computer vision, pattern recognition, cloud computing, pervasive computing, intelligent systems, artificial intelligence, neural network and fuzzy logic, machine learning, deep learning, data science, video processing, and wireless communication. This is a valuable resource for students, researchers and engineers within the field of innovative research and practical applications of electrical and computer technologies.
Harnessing Machine Learning To Decode Plant Microbiome Dynamics For Sustainable Agriculture
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Author : Eman Mohammad Khalaf
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-17
Harnessing Machine Learning To Decode Plant Microbiome Dynamics For Sustainable Agriculture written by Eman Mohammad Khalaf and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Science categories.
The field of plant-associated microbiomes has garnered significant attention due to its potential to address global food insecurity, particularly in low and middle-income countries. As the global population continues to grow, improving crop yield and productivity through advanced breeding programs has become imperative. Plants and their associated microbial communities have co-evolved over millennia, forming intricate relationships that significantly impact plant health and fitness. Recent studies have highlighted the benefits of these microbial communities, such as enhanced growth, improved nutrient uptake, and increased tolerance to environmental stresses. Despite these advancements, traditional methods of analyzing multi-omics data—such as meta-genomics, meta-transcriptomics, and meta-proteomics—are often inadequate. These methods struggle with false positives and fail to capture the interaction effects between variables, leaving gaps in our understanding of how microbiomes influence plant phenotypes. The advent of machine-learning (ML) algorithms has revolutionized this field, offering new ways to analyze complex microbiome data and predict their impact on plant traits.