Machine Learning for Disease Identification in Oil Palm Leaves
Machine Learning for Disease Identification in Oil Palm Leaves

Author: Hamdani

Publisher: Asadel Publisher

Published: 2023-10-28

Total Pages: 68

ISBN-13:

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The significance of a monograph titled "Machine Learning for Disease Identification in Oil Palm Leaves" is underscored by the background information provided. This book serves as a comprehensive exploration of the utilization of machine learning technology in the precise identification of diseases in oil palm leaves, encompassing images with diverse and intricate backgrounds. The book delves into the intricacies of this method, elucidating how it operates in the automated differentiation of healthy and diseased oil palm plants based on their leaves. The process of identifying leaf diseases in oil palm plants, meticulously detailed within these pages, encompasses several pivotal stages. These include the detection of Regions of Interest (RoI), essential pre-processing steps, feature extraction, judicious feature selection, and classification techniques. In essence, this monograph fills a critical knowledge gap, offering a deep dive into the innovative world of machine learning for disease detection in oil palm leaves. It stands as an indispensable resource for researchers, practitioners, and enthusiasts in the field, providing invaluable insights into cutting-edge technology applied to agriculture and plant health.

Information and Communication Technology for Competitive Strategies (ICTCS 2021)
Information and Communication Technology for Competitive Strategies (ICTCS 2021)

Author: Amit Joshi

Publisher: Springer Nature

Published: 2022-06-22

Total Pages: 787

ISBN-13: 9811900957

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This book contains best selected research papers presented at ICTCS 2021: Sixth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held at Jaipur, Rajasthan, India, during December 17–18, 2021. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security. The book is presented in two volumes.

Machine Vision and Augmented Intelligence
Machine Vision and Augmented Intelligence

Author: Koushlendra Kumar Singh

Publisher: Springer Nature

Published: 2023-06-01

Total Pages: 645

ISBN-13: 9819901898

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This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.​

Recent Advances in Material, Manufacturing, and Machine Learning
Recent Advances in Material, Manufacturing, and Machine Learning

Author: Rajiv Gupta

Publisher: CRC Press

Published: 2023-05-26

Total Pages: 793

ISBN-13: 1000820815

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The role of manufacturing in a country’s economy and societal development has long been established through their wealth generating capabilities. To enhance and widen our knowledge of materials and to increase innovation and responsiveness to ever-increasing international needs, more in-depth studies of functionally graded materials/tailor-made materials, recent advancements in manufacturing processes and new design philosophies are needed at present. The objective of this volume is to bring together experts from academic institutions, industries and research organizations and professional engineers for sharing of knowledge, expertise and experience in the emerging trends related to design, advanced materials processing and characterization, and advanced manufacturing processes.

Deep Learning Techniques for Automation and Industrial Applications
Deep Learning Techniques for Automation and Industrial Applications

Author: Pramod Singh Rathore

Publisher: John Wiley & Sons

Published: 2024-06-24

Total Pages: 237

ISBN-13: 1394234252

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This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. Deep learning algorithms and techniques are found to be useful in various areas, such as automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delays in children. “Deep Learning Techniques for Automation and Industrial Applications” presents a concise introduction to the recent advances in this field of artificial intelligence (AI). The broad-ranging discussion covers the algorithms and applications in AI, reasoning, machine learning, neural networks, reinforcement learning, and their applications in various domains like agriculture, manufacturing, and healthcare. Applying deep learning techniques or algorithms successfully in these areas requires a concerted effort, fostering integrative research between experts from diverse disciplines from data science to visualization. This book provides state-of-the-art approaches to deep learning covering detection and prediction, as well as future framework development, building service systems, and analytical aspects. For all these topics, various approaches to deep learning, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms, are explained. Audience The book will be useful to researchers and industry engineers working in information technology, data analytics network security, and manufacturing. Graduate and upper-level undergraduate students in advanced modeling and simulation courses will find this book very useful.

Applications of Optimization and Machine Learning in Image Processing and IoT
Applications of Optimization and Machine Learning in Image Processing and IoT

Author: Nidhi Gupta

Publisher: CRC Press

Published: 2023-11-30

Total Pages: 222

ISBN-13: 1000993027

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This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing. KEY FEATURES: • Includes fundamental concepts towards advanced applications in machine learning and IoT. • Discusses potential and challenges of machine learning for IoT and optimization • Reviews recent advancements in diverse researches on computer vision, networking and optimization field. • Presents latest technologies such as machine learning in image processing and IoT This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

Recent Trends in Mechatronics Towards Industry 4.0
Recent Trends in Mechatronics Towards Industry 4.0

Author: Ahmad Fakhri Ab. Nasir

Publisher: Springer Nature

Published: 2021-07-15

Total Pages: 1022

ISBN-13: 9813345977

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This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

IoT and AI in Agriculture
IoT and AI in Agriculture

Author: Tofael Ahamed

Publisher: Springer Nature

Published: 2023-04-10

Total Pages: 469

ISBN-13: 9811981132

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This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2). Therefore, this book focuses on the solution through smart IoT and AI-based agriculture including pest infestation and minimizing agricultural inputs for in-house and fields production such as light, water, fertilizer and pesticides to ensure food security aligns with environmental sustainability. It provides a sound understanding for creating new knowledge in line with comprehensive research and education orientation on how the deployment of tiny sensors, AI/Machine Learning (ML), controlled UAVs, and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms for nurturing and driving the pace of smart agriculture in this current time. The book will appeal to several audiences and the contents are designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science disciplines. Utmost care has been taken to present a varied range of resource areas along with immense insights into the impact and scope of IoT, AI and ML in the growth of intelligent digital farming and smart agriculture which will give comprehensive information to the targeted readers.

Applications of Artificial Intelligence in Engineering
Applications of Artificial Intelligence in Engineering

Author: Xiao-Zhi Gao

Publisher: Springer Nature

Published: 2021-05-10

Total Pages: 922

ISBN-13: 9813346043

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This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.