Computer Vision And Machine Learning In Agriculture Volume 2
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Computer Vision And Machine Learning In Agriculture Volume 2
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer
Release Date : 2023-03-15
Computer Vision And Machine Learning In Agriculture Volume 2 written by Mohammad Shorif Uddin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-15 with Technology & Engineering categories.
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.
Computer Vision And Machine Learning In Agriculture Volume 2
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2022-03-13
Computer Vision And Machine Learning In Agriculture Volume 2 written by Mohammad Shorif Uddin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-13 with Technology & Engineering categories.
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.
Computer Vision And Machine Learning In Agriculture Volume 3
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2023-07-31
Computer Vision And Machine Learning In Agriculture Volume 3 written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Technology & Engineering categories.
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.
Artificial Intelligence In Agriculture
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Author : Rajesh Singh
language : en
Publisher: CRC Press
Release Date : 2021-11-22
Artificial Intelligence In Agriculture written by Rajesh Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Computers categories.
This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.
Internet Of Things And Analytics For Agriculture Volume 2
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2019-10-24
Internet Of Things And Analytics For Agriculture Volume 2 written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Technology & Engineering categories.
This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.
Climate Resilient Agriculture Vol 2
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Author : Mirza Hasanuzzaman
language : en
Publisher: Springer Nature
Release Date : 2023-11-09
Climate Resilient Agriculture Vol 2 written by Mirza Hasanuzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-09 with Technology & Engineering categories.
Under ongoing climate change, natural and cultivated habitats of major food crops are being continuously disturbed. Such condition accelerates to impose stress effects like abiotic and biotic stressors. Drought, salinity, flood, cold, heat, heavy metals, metalloids, oxidants, irradiation etc. are important abiotic stresses; and diseases and infections caused by plant pathogens viz. fungal agents, bacteria and viruses are major biotic stresses. As a result, these harsh environments affect crop productivity and its biology in multiple complex paradigms. As stresses become the limiting factors for agricultural productivity and exert detrimental role on growth and yield of the crops, scientists and researchers are challenged to maintain global food security for a rising world population. This two-volume work highlights the fast-moving agricultural research on crop improvement through the stress mitigation strategies, with specific focuses on crop biology and their response to climatic instabilities. Together with "Climate Resilient Agriculture, Vol 1: Crop Responses and Agroecological Perspectives", it covers a wide range of topics under environmental challenges, agronomy and agriculture processes, and biotechnological approaches, uniquely suitable for scientists, researchers and students working in the fields of agriculture, plant science, environmental biology and biotechnology.
Information Modelling And Knowledge Bases Xxxi
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Author : A. Dahanayake
language : en
Publisher: IOS Press
Release Date : 2020-01-06
Information Modelling And Knowledge Bases Xxxi written by A. Dahanayake and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with Computers categories.
Information modeling and knowledge bases have become an important area of academic and industry research in the 21st century, addressing complexities of modeling that reach beyond the traditional borders of information systems and academic computer science research. This book presents 32 reviewed, selected and updated papers delivered at the 29th International Conference on Information Modeling and Knowledge Bases (EJC2019), held in Lappeenranta, Finland, from 3 to 7 June 2019. In addition, two papers based on the keynote presentations and one paper edited from the discussion of the panel session are included in the book. The conference provided a forum to exchange scientific results and experience, and attracted academics and practitioners working with information and knowledge. The papers cover a wide range of topics, ranging from knowledge discovery through conceptual and linguistic modeling, knowledge and information modeling and discovery, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems to complex scientific problem-solving. The conference presentation sessions: Learning and Linguistics; Systems and Processes; Data and Knowledge Representation; Models and Interface; Formalizations and Reasoning; Models and Modeling; Machine Learning; Models and Programming; Environment and Predictions; and Emotion Modeling and Social Networks reflect the main themes of the conference. The book also includes 2 extended publications of keynote addresses: ‘Philosophical Foundations of Conceptual Modeling’ and ́Sustainable Solid Waste Management using Life Cycle Modeling for Environmental Impact Assessment’, as well as additional material covering the discussion and findings of the panel session. Providing an overview of current research in the field, the book will be of interest to all those working with information systems, information modeling and knowledge bases.
Proceedings Of International Conference On Artificial Intelligence And Communication Technologies Icaict 2023
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Author : Roumen Kountchev
language : en
Publisher: Springer Nature
Release Date : 2023-11-13
Proceedings Of International Conference On Artificial Intelligence And Communication Technologies Icaict 2023 written by Roumen Kountchev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with Technology & Engineering categories.
This book gathers selected papers presented at the International Conference on Artificial Intelligence and Communication Technologies (ICAICT2023), held at Shenzhen, China during June 2023. The first volume of the proceedings will focus on the newest methods and algorithms in smart wireless communications in the areas of Remote sensing and machine learning, Intelligent image and data processing, Health systems and security, Intelligent teaching applications and many others.
Ai And Data Analytics In Precision Agriculture For Sustainable Development
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Author : Sita Rani
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Ai And Data Analytics In Precision Agriculture For Sustainable Development written by Sita Rani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.
This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity. Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs. Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment. Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.
Principles Of Multimedia
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Author : Ranjan Parekh
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Principles Of Multimedia written by Ranjan Parekh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Principles of Multimedia introduces and explains the theoretical concepts related to the representation, storage, compression, transmission and processing of various multimedia components, including text, image, graphics, audio, video and animation, as well as their use across various applications. The book provides the necessary programming tools and analysis technique concepts to perform practical processing tasks in software labs and to solve numerical problems at the postgraduate level. For this new third edition, every chapter has been updated and the book has been carefully streamlined throughout. Chapter 1 provides an overview of multimedia technology, including the definition, major characteristics, hardware, software, standards, technologies and relevant theorems with mathematical formulations. Chapter 2 covers text, including digital text representations, text editing and processing tools, text application areas and text file formats. Chapter 3 explores digital image input and output systems, image editing and processing tools, image application areas, image color management and image file formats. Chapter 4 discusses 2D and 3D graphics algorithms, transformation matrices, splines, fractals, vectors, projection application areas and graphics file formats. Chapter 5 covers audio, including digital audio input and output systems, audio editing and processing tools, audio application areas and audio file formats. Chapter 6 looks at video, including digital video input and output systems, video editing and processing tools, video application areas and video file formats. Chapter 7 focuses on animation, covering 2D and 3D animation algorithms, interpolations, modeling, texture mapping, lights, illumination models, camera, rendering, application areas and animation file formats. Finally, Chapter 8 covers compression, including lossless and lossy compression techniques, and various algorithms related to text image audio and video compression. Every chapter includes solved numerical problems, coding examples and references for further reading. Including theoretical explanations, mathematical formulations, solved numerical problems and coding examples throughout, Principles of Multimedia is an ideal textbook for graduate and postgraduate students studying courses on image processing, speech and language processing, signal processing, video object detection and tracking, graphic design and modeling and related multimedia technologies.