Pests And Diseases Monitoring And Forecasting Algorithms Technologies And Applications
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Pests And Diseases Monitoring And Forecasting Algorithms Technologies And Applications
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Author : Yingying Dong
language : en
Publisher: Frontiers Media SA
Release Date : 2024-12-19
Pests And Diseases Monitoring And Forecasting Algorithms Technologies And Applications written by Yingying Dong 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 2024-12-19 with Science categories.
Plant pests and diseases cause an annual average of 40% global food failure addressed by FAO and more than 100 billion dollars in loss of forest and grass resources. Scientific prevention and control of pests and diseases in agriculture, forestry and grass is important to ensure food security, ecological and environmental safety, etc. At present, the accuracy of individual identification of agricultural, forestry and grass pests and diseases are low, making it difficult to achieve accurate outpost warning, occurrence environment monitoring and multiple pest and disease type differentiation, resulting in the inability to achieve early detection and control of pests and diseases. With the rapid development of remote sensing, big data, and artificial intelligence technologies, information technology has been widely used in agriculture, forestry and grass pest and disease precision monitoring and forecasting. Digital precision monitoring and forecasting of major pests and diseases have become a major development trend in the agriculture, forestry, and grass industry. This research topic aims to collect the latest advances related to digital accurate monitoring and forecasting of pests and diseases in agriculture, forestry, and grass. We welcome research on monitoring of vegetation parameters, digital image processing of pests and diseases, and monitoring and forecasting of pests and diseases, such as inversion of vegetation physical and chemical parameters, vegetation growth monitoring, identification of individual species of pests and diseases, quantitative extraction of pests and diseases, early warning of pest and disease outposts, and rapid monitoring and evaluation of large areas of pests and diseases. The research topic will provide key technologies and solutions for digital monitoring and early warning of pests and diseases, and the established multidisciplinary cross-fertilization and collaborative innovation mechanism is of great significance for promoting the construction of plant protection systems and the development of pest and disease monitoring and forecasting industry.
Proceedings Of The 2025 International Conference On Agriculture And Resource Economy Icare 2025
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Author : Xinyong Li
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Proceedings Of The 2025 International Conference On Agriculture And Resource Economy Icare 2025 written by Xinyong Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Business & Economics categories.
This open access volume presents select proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025). Various topics include Natural resource management, Energy Economics, Agricultural productivity and technology, Agricultural market analysis, Impact of Energy Policy on Economic Growth and many more.
Artificial Intelligence Technologies And Applications
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Author : C. Chen
language : en
Publisher: IOS Press
Release Date : 2024-02-15
Artificial Intelligence Technologies And Applications written by C. Chen and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Computers categories.
Artificial Intelligence (AI) is rapidly becoming an inescapable part of modern life, and the fact that AI technologies and applications will inevitably bring about significant changes in many industries and economies worldwide means that this field of research is currently attracting great interest. This book presents the proceedings of ICAITA 2023, the 5th International Conference on Artificial Intelligence Technologies and Applications, held as a hybrid event from 30 June to 2 July 2023 in Changchun, China. The conference provided an international forum for academic communication between experts and scholars in the field of AI, promoting the interchange of scientific information between participants and establishing connections which may lead to collaboration, research, and development activities in related fields. The 126 papers included here were selected following a thorough review process and are divided into 4 sections, covering AI simulation and mechatronics; intelligent network architecture and system monitoring; intelligent algorithm modeling and numerical analysis; and intelligent graph recognition and information processing. Topics addressed include artificial neural networks, computational theories of learning, intelligent system architectures, pervasive computing and ambient intelligence, and fuzzy logic and methods. Covering a wide range of topics and applications current in AI research, the book will be of interest to all those working in the field.
Computer And Computing Technologies In Agriculture Volume Ii
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Author : Daoliang Li
language : en
Publisher: Springer
Release Date : 2010-05-09
Computer And Computing Technologies In Agriculture Volume Ii written by Daoliang Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-09 with Technology & Engineering categories.
The papers in this volume comprise the refereed proceedings of the First Int- national Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), in Wuyishan, China, 2007. This conference is organized by China Agricultural University, Chinese Society of Agricultural Engineering and the Beijing Society for Information Technology in Agriculture. The purpose of this conference is to facilitate the communication and cooperation between institutions and researchers on theories, methods and implementation of computer science and information technology. By researching information technology development and the - sources integration in rural areas in China, an innovative and effective approach is expected to be explored to promote the technology application to the development of modern agriculture and contribute to the construction of new countryside. The rapid development of information technology has induced substantial changes and impact on the development of China’s rural areas. Western thoughts have exerted great impact on studies of Chinese information technology devel- ment and it helps more Chinese and western scholars to expand their studies in this academic and application area. Thus, this conference, with works by many prominent scholars, has covered computer science and technology and information development in China’s rural areas; and probed into all the important issues and the newest research topics, such as Agricultural Decision Support System and Expert System, GIS, GPS, RS and Precision Farming, CT applications in Rural Area, Agricultural System Simulation, Evolutionary Computing, etc.
Real World Applications Of Ai Innovation
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Author : Mallik, Saurav
language : en
Publisher: IGI Global
Release Date : 2024-12-02
Real World Applications Of Ai Innovation written by Mallik, Saurav and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
Artificial intelligence (AI) innovation works to transform various sectors, driving efficiency, enhancing decision-making, and creating new opportunities for growth. From healthcare and finance to agriculture and entertainment, real-world applications of AI are demonstrating its potential to solve complex problems and improve everyday life. As these technologies continue to evolve, further exploration into the integration of AI into different fields may allow for a more efficient, sustainable, and innovative future. Real-World Applications of AI Innovation explores the latest advancements and practical applications of artificial intelligence across various domains. It delves into cutting-edge AI methodologies, algorithms, and technologies, providing readers with a deep understanding of the current landscape and future trends in AI research and development. This book covers topics such as smart farming, machine learning, and deep neural networks, and is a useful resource for computer engineers, scientists, medical professionals, agriculturalists, educators, researchers, academicians, and business owners.
Intelligent Techniques For Predictive Data Analytics
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Author : Neha Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-30
Intelligent Techniques For Predictive Data Analytics written by Neha Singh 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 2024-07-30 with Computers categories.
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Advanced Computational Methods For Agri Business Sustainability
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Author : Satapathy, Suchismita
language : en
Publisher: IGI Global
Release Date : 2024-07-10
Advanced Computational Methods For Agri Business Sustainability written by Satapathy, Suchismita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with Business & Economics categories.
Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.
Artificial Intelligence Techniques In Smart Agriculture
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Author : Siddharth Singh Chouhan
language : en
Publisher: Springer Nature
Release Date : 2024-10-19
Artificial Intelligence Techniques In Smart Agriculture written by Siddharth Singh Chouhan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-19 with Technology & Engineering categories.
This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture. It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.
Smart Technologies For Sustainable Development Goals
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Author : A. Jose Anand
language : en
Publisher: CRC Press
Release Date : 2025-05-26
Smart Technologies For Sustainable Development Goals written by A. Jose Anand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Technology & Engineering categories.
Sustainable Development Goals (SDGs) give the UN a road-map for development, with Agenda 2030 as the target. It was built on the previously established Millennium Development Goals (MDGs). This book examines the supporting technologies needed to achieve SDG 2: reducing hunger and creating a better society. This much-needed book, the first of its type to offer a specific focus on the relationship between technology and SDG 2, will be valuable for academics working in the subject of global sustainable development. This book will also be useful for international organisations and representatives, who will be able to share knowledge on technological views to minimise hunger rates.
Application Of Machine Learning In Agriculture
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Author : Mohammad Ayoub Khan
language : en
Publisher: Academic Press
Release Date : 2022-05-14
Application Of Machine Learning In Agriculture written by Mohammad Ayoub Khan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-14 with Business & Economics categories.
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. - Addresses the technology of smart agriculture from a technical perspective - Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop - Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture