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Author :
Publisher :
ISBN 13 : 9781835450086
Total Pages : 0 pages
Book Rating : 4.4/5 (5 download)
Download or read book Instant Insights: Machine Vision Applications in Agriculture written by and published by . This book was released on 2024-10-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Siddharth Singh Chouhan
Publisher : Springer Nature
ISBN 13 : 9819986842
Total Pages : 332 pages
Book Rating : 4.8/5 (199 download)
Download or read book Applications of Computer Vision and Drone Technology in Agriculture 4.0 written by Siddharth Singh Chouhan and published by Springer Nature. This book was released on with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mohammad Shorif Uddin
Publisher : Springer Nature
ISBN 13 : 9811699917
Total Pages : 269 pages
Book Rating : 4.8/5 (116 download)
Download or read book Computer Vision and Machine Learning in Agriculture, Volume 2 written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2022-03-13 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.
Author : Jagdish Chand Bansal
Publisher : Springer Nature
ISBN 13 : 981993754X
Total Pages : 215 pages
Book Rating : 4.8/5 (199 download)
Download or read book Computer Vision and Machine Learning in Agriculture, Volume 3 written by Jagdish Chand Bansal and published by Springer Nature. This book was released on 2023-07-31 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
Author : Mohammad Shorif Uddin
Publisher :
ISBN 13 : 9789813364257
Total Pages : 0 pages
Book Rating : 4.3/5 (642 download)
Download or read book Computer Vision and Machine Learning in Agriculture written by Mohammad Shorif Uddin and published by . This book was released on 2021 with total page 0 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.
Author : Saravanan Krishnan
Publisher : CRC Press
ISBN 13 : 1000991474
Total Pages : 312 pages
Book Rating : 4.0/5 (9 download)
Download or read book Predictive Analytics in Smart Agriculture written by Saravanan Krishnan and published by CRC Press. This book was released on 2023-12-18 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.
Author : Saravanan Krishnan
Publisher : CRC Press
ISBN 13 : 1000991482
Total Pages : 386 pages
Book Rating : 4.0/5 (9 download)
Download or read book Predictive Analytics in Smart Agriculture written by Saravanan Krishnan and published by CRC Press. This book was released on 2023-12-18 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.
Author : Roshani Raut
Publisher : CRC Press
ISBN 13 : 1000518221
Total Pages : 322 pages
Book Rating : 4.0/5 (5 download)
Download or read book Machine Vision for Industry 4.0 written by Roshani Raut and published by CRC Press. This book was released on 2022-03-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.
Author : Razmjooy, Navid
Publisher : IGI Global
ISBN 13 : 152258028X
Total Pages : 337 pages
Book Rating : 4.5/5 (225 download)
Download or read book Applications of Image Processing and Soft Computing Systems in Agriculture written by Razmjooy, Navid and published by IGI Global. This book was released on 2019-02-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.
Author : Syed Nisar Hussain Bukhari
Publisher : CRC Press
ISBN 13 : 1040037232
Total Pages : 301 pages
Book Rating : 4.0/5 (4 download)
Download or read book Data-Driven Farming written by Syed Nisar Hussain Bukhari and published by CRC Press. This book was released on 2024-06-13 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.
Author : Haoyu Niu
Publisher : Springer Nature
ISBN 13 : 3031526457
Total Pages : 243 pages
Book Rating : 4.0/5 (315 download)
Download or read book Smart Big Data in Digital Agriculture Applications written by Haoyu Niu and published by Springer Nature. This book was released on with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sundaravadivazhagan Balasubaramanian
Publisher : Springer Nature
ISBN 13 : 3031511956
Total Pages : 479 pages
Book Rating : 4.0/5 (315 download)
Download or read book Intelligent Robots and Drones for Precision Agriculture written by Sundaravadivazhagan Balasubaramanian and published by Springer Nature. This book was released on with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Swati V. Shinde
Publisher : CRC Press
ISBN 13 : 100095255X
Total Pages : 442 pages
Book Rating : 4.0/5 (9 download)
Download or read book Applied Computer Vision and Soft Computing with Interpretable AI written by Swati V. Shinde and published by CRC Press. This book was released on 2023-10-12 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: ∙ Covers a variety of deep learning architectures useful for computer vision tasks. ∙ Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks. ∙ Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem. ∙ Addresses the different issues and further research opportunities in computer vision and soft computing. ∙ Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain. ∙ Considers recent real word problems and the prospective solutions to these problems. This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.
Author : Avinash G. Keskar
Publisher : Engineering Science Reference
ISBN 13 : 9781668499757
Total Pages : 0 pages
Book Rating : 4.4/5 (997 download)
Download or read book Machine Learning and Deep Learning for Smart Agriculture and Applications written by Avinash G. Keskar and published by Engineering Science Reference. This book was released on 2023-08-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "As health monitoring of plants and fruits is essential for sustainable agriculture. In the agriculture farming business, plant diseases are the major reason for monetary misfortunes around the globe. Automated detection and identification of plant diseases using sophisticated image processing coupled with advanced computer vision techniques results in accurate and fast identification with less human effort and labor cost. This book is to to provide an efficient solution for the detection of plants and fruit diseases, using various machine learning and deep learning techniques. The objective of the book is to find out how agriculture is involved with prepared and efficient profound learning algorithms. There are huge prospects for agriculture administration through the proper use of Machine Learning, Deep Learning, Big Data, and IoT structures. The majority of agricultural research institutes have already adopted Internet of Things for the monitoring of a variety of farm services"--
Author : Prof. Murali Krishna Gurram
Publisher : kitab writing publication
ISBN 13 : 9360925446
Total Pages : 194 pages
Book Rating : 4.3/5 (69 download)
Download or read book PYTHON PROGRAMMING FOR GIS written by Prof. Murali Krishna Gurram and published by kitab writing publication. This book was released on 2024-02-16 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Python Programming for GIS" serves as a comprehensive guide for utilizing Python in geographic information systems (GIS) applications. The book equips readers with essential Python skills tailored specifically for GIS tasks, including data manipulation, spatial analysis, and automation. Through practical examples and clear explanations, it empowers GIS professionals and enthusiasts to leverage Python's capabilities for efficient and effective spatial data management and analysis. From basic scripting to advanced geoprocessing techniques, this book offers a step-by-step approach to mastering Python programming in the context of GIS, making it an invaluable resource for both beginners and experienced practitioners in the field.
Author : Qamar Zaman
Publisher : Elsevier
ISBN 13 : 0443189544
Total Pages : 292 pages
Book Rating : 4.4/5 (431 download)
Download or read book Precision Agriculture written by Qamar Zaman and published by Elsevier. This book was released on 2023-05-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Agriculture: Evolution, Insights and Emerging Trends presents a complete guide from foundational concepts to the economic, commercial and environmental implications of the approach. Showcasing recent research improvements, future trends, and highlighting innovative use of machine vision, artificial intelligence, UAVs, drones, IoT and data analytics to promote sustainable agriculture, the book brings the reader up-to-date with understanding and implementing this targeted practice. From the basic elements of agronomy to insights on reflectance and remote sensing indices, chapters use summary abstracts, case studies and real-world examples of implementing the tools of precision agriculture (PA) to demonstrate the latest advances. It includes explanations on the origin of the intra-plot variability of a culture (spatial and temporal), different types of existing sensors, controllers and site-specific management. The book further explores yield monitoring, weed, disease and pest control, automated irrigation systems, PA tools for variable rate application of inputs within the field, and data processing methods. By also exploring the economic profitability of precision farming approaches, and its utility for sustainable agriculture, Precision Agriculture: Evolution, Insights and Emerging Trends is a truly comprehensive view of this important approach to improving global agriculture production. Scientists, researchers, policymakers, graduate and postgraduate students, and engineers in the related fields of agriculture, computer science and engineering will benefit from this book. - Addresses soil, machinery, plants, irrigation, sensors, UAVs and more - Explores current and future technologies in the field of Precision Agriculture - Details comprehensive cost-benefit analysis for governments and other policymakers to incentivize and promote precision agriculture technology
Author : Govind Singh Patel
Publisher : CRC Press
ISBN 13 : 1000327876
Total Pages : 222 pages
Book Rating : 4.0/5 (3 download)
Download or read book Smart Agriculture written by Govind Singh Patel and published by CRC Press. This book was released on 2021-02-10 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
