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Modern Techniques For Agricultural Disease Management And Crop Yield Prediction
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Book Synopsis Modern Techniques for Agricultural Disease Management and Crop Yield Prediction by : Pradeep, N.
Download or read book Modern Techniques for Agricultural Disease Management and Crop Yield Prediction written by Pradeep, N. and published by IGI Global. This book was released on 2019-08-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.
Book Synopsis Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) by : Sharvari Tamane
Download or read book Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022) written by Sharvari Tamane and published by Springer Nature. This book was released on 2023-05-01 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).
Book Synopsis Handbook of Research on Globalized Agricultural Trade and New Challenges for Food Security by : Erokhin, Vasilii
Download or read book Handbook of Research on Globalized Agricultural Trade and New Challenges for Food Security written by Erokhin, Vasilii and published by IGI Global. This book was released on 2019-10-25 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Free trade promotes economic growth through international competition and the efficient allocation of resources while also helping to stabilize food supplies between countries that have an overabundance of product and countries that have a shortage. However, sudden price surges can threaten the social cohesion of developing countries and may lead to malnutrition and stunted growth. Balancing trade liberalization and protectionism is imperative for the provision of food security for all. The Handbook of Research on Globalized Agricultural Trade and New Challenges for Food Security is an essential publication that seeks to improve food security, food independence, and food sovereignty in the conditions of globalized agricultural trade and addresses the contemporary issues of agricultural trade including major commodities and food products traded between major countries, directions of trade, and trends. The book also examines the effects of tariff escalations, administrative restrictions, other forms of trade protectionism on food security, and the emerging trade tensions between major actors such as the US, China, the EU, and Russia. Featuring research on topics including plant fertility, dietary diversity, and protectionism, this book is ideally designed for government officials, policymakers, agribusiness managers, stakeholders, international tradesmen, researchers, industry professionals, academicians, and students.
Book Synopsis Recent Advances in Machine Design by : C. V. Chandrashekara
Download or read book Recent Advances in Machine Design written by C. V. Chandrashekara and published by Springer Nature. This book was released on with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Deep Learning in Biomedical Engineering by : Valentina Emilia Balas
Download or read book Handbook of Deep Learning in Biomedical Engineering written by Valentina Emilia Balas and published by Academic Press. This book was released on 2020-11-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer's, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis. - Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT - Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis - Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks - Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer's, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography
Book Synopsis Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks by : Baranovskiy, Nikolay Viktorovich
Download or read book Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks written by Baranovskiy, Nikolay Viktorovich and published by IGI Global. This book was released on 2019-12-27 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: To understand the catastrophic processes of forest fire danger, different deterministic, probabilistic, and empiric models must be used. Simulating various surface and crown forest fires using predictive information technology could lead to the improvement of existing systems and the examination of the ecological and economic effects of forest fires in other countries. Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks provides innovative insights into forestry management and fire statistics. The content within this publication examines climate change, thermal radiation, and remote sensing. It is designed for fire investigators, forestry technicians, emergency managers, fire and rescue specialists, professionals, researchers, meteorologists, computer engineers, academicians, and students invested in topics centered around providing conjugate information on forest fire danger and risk.
Book Synopsis Security in Cyber-Physical Systems by : Ali Ismail Awad
Download or read book Security in Cyber-Physical Systems written by Ali Ismail Awad and published by Springer Nature. This book was released on 2021-03-05 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a relevant reference for any readers interested in the security aspects of Cyber-Physical Systems and particularly useful for those looking to keep informed on the latest advances in this dynamic area. Cyber-Physical Systems (CPSs) are characterized by the intrinsic combination of software and physical components. Inherent elements often include wired or wireless data communication, sensor devices, real-time operation and automated control of physical elements. Typical examples of associated application areas include industrial control systems, smart grids, autonomous vehicles and avionics, medial monitoring and robotics. The incarnation of the CPSs can therefore range from considering individual Internet-of-Things devices through to large-scale infrastructures. Presented across ten chapters authored by international researchers in the field from both academia and industry, this book offers a series of high-quality contributions that collectively address and analyze the state of the art in the security of Cyber-Physical Systems and related technologies. The chapters themselves include an effective mix of theory and applied content, supporting an understanding of the underlying security issues in the CPSs domain, alongside related coverage of the technological advances and solutions proposed to address them. The chapters comprising the later portion of the book are specifically focused upon a series of case examples, evidencing how the protection concepts can translate into practical application.
Book Synopsis Current State and Future Impacts of Climate Change on Biodiversity by : Rathoure, Ashok Kumar
Download or read book Current State and Future Impacts of Climate Change on Biodiversity written by Rathoure, Ashok Kumar and published by IGI Global. This book was released on 2019-11-29 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the balance of society and nature is imperative when researching ecosystems and their global influence. A method of studying the health of these ecosystems is biodiversity. The more diverse the species that live in an ecosystem, the healthier it is. As the climate continues to transform, small-scale ecosystems are affected, altering their diversity. Environmentalists need a book of research that studies the specific impacts of climate change and how it affects the future of the environment. Current State and Future Impacts of Climate Change on Biodiversity is a pivotal reference source that provides vital research on biological systems and how climate change influences their health. While highlighting topics such as genetic diversity, economic valuation, and climatic conditions, this publication explores the effects of climate change as well as the methods of sustainable management within ecosystems. This book is ideally designed for environmental scientists, environmental professionals, scientists, ecologists, conservationists, government officials, policymakers, agriculturalists, environmentalists, zoologists, botanists, entomologists, urban planners, researchers, scholars, and students seeking research on current and future developments of various ecosystems.
Book Synopsis Implementation and Evaluation of Green Materials in Technology Development: Emerging Research and Opportunities by : Mastura, M.T.
Download or read book Implementation and Evaluation of Green Materials in Technology Development: Emerging Research and Opportunities written by Mastura, M.T. and published by IGI Global. This book was released on 2019-09-13 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to legal and consumer demands, eco-friendly resources that comply with environmental concerns while maintaining or improving performance are highly sought amongst manufacturers. Green materials are a specific material that are widely found in many product markets and are popular choices as alternative materials due to their recyclable, reusable, highly available, and corrosion-resistant features. These materials positively impact the environment through fewer emissions during the production process, positive carbon credits and energy recovery from incineration, and lower global warming effect. Extensive research is required to understand the full potential of these eco-friendly substances. Implementation and Evaluation of Green Materials in Technology Development: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of environmentally friendly resources and applications within technology. Featuring coverage on a broad range of topics such as life cycle analysis, nanomaterials, and environment management, this book is ideally designed for manufacturers, engineers, product developers, industrial practitioners, policymakers, researchers, academicians, students, and business and marketing associates seeking current research on the advancements and applications of green materials in future technology.
Book Synopsis Opportunities and Risks in AI for Business Development by : Bahaaeddin Alareeni
Download or read book Opportunities and Risks in AI for Business Development written by Bahaaeddin Alareeni and published by Springer Nature. This book was released on 2024 with total page 1075 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a groundbreaking exploration into the dynamic synergy between artificial intelligence and business development. Titled "AI Integration for Business Development: Navigating Opportunities, Unleashing Potential, Managing Risks," it serves as an indispensable guide for leaders and visionaries aiming to harness the transformative power of AI. The book introduces a comprehensive journey that unveils the strategic integration of AI into business development strategies. This book shows how to navigate a myriad of opportunities, strategically unleash untapped potential, and adeptly manage risks in the ever-evolving landscape of artificial intelligence. Through meticulous insights, real-world examples, and actionable strategies, readers gain the knowledge to make informed decisions and drive competitive advantage. This book presents not only a roadmap for identifying lucrative opportunities but also a blueprint for unlocking the full potential of AI technologies. Whether you are a seasoned executive, entrepreneur, or decision-maker, this book empowers you to proactively manage risks inherent in AI adoption, ensuring resilience and adaptability in your business model. Discover how to stay ahead in the rapidly changing business landscape, shaping the future of your business development initiatives. This book is your indispensable companion, offering profound insights into AI integration and empowering you to seize the transformative potential of AI. This book is your key to charting a course toward sustained success and innovation in the dynamic world of modern business.
Book Synopsis New Approaches to Data Analytics and Internet of Things Through Digital Twin by : Karthikeyan, P.
Download or read book New Approaches to Data Analytics and Internet of Things Through Digital Twin written by Karthikeyan, P. and published by IGI Global. This book was released on 2022-09-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Book Synopsis Nano-Phytoremediation Technologies for Groundwater Contaminates: Emerging Research and Opportunities by : Chaudhary, Khushboo
Download or read book Nano-Phytoremediation Technologies for Groundwater Contaminates: Emerging Research and Opportunities written by Chaudhary, Khushboo and published by IGI Global. This book was released on 2019-10-04 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the modern world, industries and factories are rising exponentially. This has led to the mass cultivation of non-biodegradable products, like heavy metals, that have polluted the environment and become a major threat to plant growth, crop yield, and human health. Conventional remediation technologies are expensive and may not remove contaminates effectively. Therefore, it is important to develop economically practical and more effective methods to decontaminate soils. Nano-Phytoremediation Technologies for Groundwater Contaminates: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of the use of plants for remediating metal-contaminated soil and water. While highlighting topics including molecular mechanisms, nutrient interference, and fluoride accumulation, this book is ideally designed for environmental scientists, environmental engineers, agriculturalists, farmers, policymakers, government officials, research scholars, professors, and students studying in the fields of environmental engineering, biotechnology, nano-technology, bioscience, and environmental science.
Book Synopsis Trends in Deep Learning Methodologies by : Vincenzo Piuri
Download or read book Trends in Deep Learning Methodologies written by Vincenzo Piuri and published by Academic Press. This book was released on 2020-11-12 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. - Provides insights into the theory, algorithms, implementation and the application of deep learning techniques - Covers a wide range of applications of deep learning across smart healthcare and smart engineering - Investigates the development of new models and how they can be exploited to find appropriate solutions
Book Synopsis Data Analytics and Machine Learning by : Pushpa Singh
Download or read book Data Analytics and Machine Learning written by Pushpa Singh and published by Springer Nature. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Remote Sensing in Precision Agriculture by : Salim Lamine
Download or read book Remote Sensing in Precision Agriculture written by Salim Lamine and published by Elsevier. This book was released on 2023-10-20 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information. - Presents a well-integrated collection of chapters, with quality, consistency and continuity - Provides the latest RS techniques in Precision Agriculture that are addressed by leading experts - Includes detailed, yet geographically global case studies that can be easily understood, reproduced or implemented - Covers geospatial data, with codes available through shared links
Book Synopsis Computer Vision and Machine Learning in Agriculture by : Mohammad Shorif Uddin
Download or read book Computer Vision and Machine Learning in Agriculture written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2021-03-23 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems. Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition.
Book Synopsis Deep Learning Applications and Intelligent Decision Making in Engineering by : Senthilnathan, Karthikrajan
Download or read book Deep Learning Applications and Intelligent Decision Making in Engineering written by Senthilnathan, Karthikrajan and published by IGI Global. This book was released on 2020-10-23 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.
