Investigating Ai Based Smart Precision Agriculture Techniques
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Investigating Ai Based Smart Precision Agriculture Techniques
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Author : Uzair Aslam Bhatti
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-31
Investigating Ai Based Smart Precision Agriculture Techniques written by Uzair Aslam Bhatti 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 2023-07-31 with Science categories.
Artificial Intelligence For Precision Agriculture
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Author : Pethuru Raj
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Artificial Intelligence For Precision Agriculture written by Pethuru Raj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.
Precision agriculture is a next-generation farming management concept that optimizes resource use, productivity, quality, profitability, and sustainability by observing and responding to crop variability. Precision agriculture employs digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), 5G communication, cybersecurity, edge computing, cloud-native principles, and blockchain to ensure crops and soil receive exactly what they need for optimal health and productivity. Artificial Intelligence for Precision Agriculture explores the latest developments in precision agriculture, detailing how AI contributes to its goals. The book discusses how precision agriculture solutions use IoT devices, data storage, AI analytics, connectivity, and cloud infrastructures to analyze factors such as soil type, terrain, weather, plant growth, and yield data. It also examines edge technologies—sensors, microchips, beacons, RFID tags, robots, drones, and actuators—that collect field data and transmit it to cloud-based AI platforms for analysis. The book shows how AI-driven insights guide actions in the field, such as crop rotation, optimal planting and harvesting times, and soil management, and help farmers apply the right amounts of water, fertilizers, and pesticides, reducing waste and environmental impact. Applications covered in the book include: Drone-based high-resolution field mapping Tracking crops Crop yield assessments Data collection for irrigation, fertilization, and crop management Advanced weather monitoring Equipment management With chapters on AI model development, plant disease detection and remediation, sustainable farming techniques, data integration, AI-enabled data analytics, and knowledge visualization, this book is a comprehensive guide to technologies and applications in precision agriculture.
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.
Iot Uav Bci Empowered Deep Learning Models In Precision Agriculture
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Author : José Dias Pereira
language : en
Publisher: Frontiers Media SA
Release Date : 2024-05-10
Iot Uav Bci Empowered Deep Learning Models In Precision Agriculture written by José Dias Pereira 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 2024-05-10 with Science categories.
Machine vision applications in precision agriculture have attracted a great deal of attention. They focus on monitoring, protection, and management of various plant populations. These applications have shown potential value in reforming crucial components of plant production, including fine-grained ripeness recognition of all kinds of plants and detecting and classifying weeds, seeds, and pests for crop health, quality, and quantity enhancement. In recent decades, the extensive achievements of deep learning techniques have shown significant opportunities for almost all fields. Accordingly, many deep learning models have been presented for different types of images and have achieved promising outcomes. The deep learning-based approaches can contribute to gaining insights into the plants' inherent characteristics and the surrounding environmental elements. This research topic's primary value is providing a platform for deep learning-based applications for precision agriculture. These applications can be fairly evaluated and compared with each other. Accordingly, more effective and efficient detection and classification approaches for precision agriculture can be developed or optimized.
Ai Edge And Iot Based Smart Agriculture
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Author : Ajith Abraham
language : en
Publisher: Academic Press
Release Date : 2021-11-10
Ai Edge And Iot Based Smart Agriculture written by Ajith Abraham and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.
AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. - Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management - Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection - Promotes the importance and uses in managing the agro ecosystem for food security - Emphasizes low energy usage options for low cost and environmental sustainability
Examining The Metaverse In Healthcare Opportunities Challenges And Future Directions
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Author : Nijalingappa, Pradeep
language : en
Publisher: IGI Global
Release Date : 2024-08-29
Examining The Metaverse In Healthcare Opportunities Challenges And Future Directions written by Nijalingappa, Pradeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Medical categories.
The metaverse is not merely a futuristic concept but a tangible force that, when harnessed, can revolutionize patient experiences, care delivery, and outcomes. The global market projection foresees a staggering CAGR of 35.28% and a valuation of $54.47 billion by 2030. Augmented reality (AR) and virtual reality (VR) technologies have propelled medical training, teaching modules, and surgical procedures to unprecedented precision. However, these advancements are not without their challenges. Examining the Metaverse in Healthcare: Opportunities, Challenges, and Future Directions delves into the intricacies of this technological paradigm shift, dissecting the opportunities, challenges, and future directions it presents. The book navigates the complexities of integrating these technologies, exploring how the metaverse builds upon existing concepts such as Virtual Clinics, AI utilization, augmented reality, Human Digital Twins, medical simulations, and robotics. It examines the impact on patient and clinician experiences, identifying the gaps and obstacles that must be overcome.
Explainable Ai Xai For Sustainable Development
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Author : Lakshmi D
language : en
Publisher: CRC Press
Release Date : 2024-06-26
Explainable Ai Xai For Sustainable Development written by Lakshmi D and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Technology & Engineering categories.
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
Using Traditional Design Methods To Enhance Ai Driven Decision Making
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Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Integrated Land And Water Resource Management For Sustainable Agriculture Volume 2
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Author : Dipak A. Jadhav
language : en
Publisher: Springer Nature
Release Date : 2025-04-19
Integrated Land And Water Resource Management For Sustainable Agriculture Volume 2 written by Dipak A. Jadhav and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-19 with Science categories.
This book covers up-to-date research on various emerging technologies in agriculture and agricultural engineering with discussing the advancement and gap between different techniques. In this sense, this book features the application of the newly developed technologies for effective farm management and precise agriculture to improve the crop yield with maintaining the soil conditions. This book includes the application of allied engineering branches to agriculture including robotics, drone technology, remote sensing & GIS, computational modeling, ICT tools, sensing techniques, agricultural mechatronics, nano-biotechnology and applied mechanics, etc. Any upcoming early stage researchers and scientist working in this research domain get idea and knowledge about various aspects and dimensions of water resource engineering advancement and give directions to solve real field challenges for sustaining in future water demand.
Artificial Intelligence Based Smart Healthcare Systems
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Author : Kashif Naseer Qureshi
language : en
Publisher: Elsevier
Release Date : 2025-07-01
Artificial Intelligence Based Smart Healthcare Systems written by Kashif Naseer Qureshi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.
Artificial Intelligence-Based Smart Healthcare Systems: New Standards, Technologies, and Communication Systems delves into the transformative role of Artificial Intelligence (AI) in modern healthcare. The book sheds light on the integration of AI technologies into healthcare systems, significantly enhancing diagnostics, patient care, treatment, research, and administrative processes. It emphasizes AI's emergence as a crucial component of healthcare, where advanced AI-powered networks improve data communication, sensing, and monitoring capabilities, setting new standards for healthcare efficiency and accuracy.In addition to discussing AI's applications in patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis, the book explores architectural frameworks like software-defined networks, cloud and edge-based architectures, and mobility-based systems. It stresses the need for scalable, flexible, energy-efficient, and interoperable designs to support AI integration. Furthermore, the importance of robust security, privacy standards, and policies in AI-based healthcare systems is highlighted, considering the unique challenges and requirements of this domain. - Covers the design of AI-powered predictive analytics which can be used to identify health issues and intervene at an early stage - Addresses the critical issues of security and privacy concerning healthcare data and AI systems - Delves into how AI technologies can be used to tailor healthcare services and treatment plans to individual patients