Computer Vision Dan Yolo Menggali Potensi Computer Vision Dan Implementasi Yolo Untuk Pertanian Pintar
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Computer Vision Dan Yolo Menggali Potensi Computer Vision Dan Implementasi Yolo Untuk Pertanian Pintar
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Author : Mira, S.Kom., M.Kom.
language : id
Publisher: Uwais Inspirasi Indonesia
Release Date : 2023-12-15
Computer Vision Dan Yolo Menggali Potensi Computer Vision Dan Implementasi Yolo Untuk Pertanian Pintar written by Mira, S.Kom., M.Kom. and has been published by Uwais Inspirasi Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Antiques & Collectibles categories.
Buku ini membahas potensi-potensi era baru untuk menjawab kebutuhan dan tantangan dalam dunia teknologi yang terus mengalami perkembangan - Computer Vision dan aplikasi revolusioner, YOLO (You Only Look Once). Dalam Buku ini pembaca akan menemukan dasar-dasar Computer Vision perkembangan YOLO, library Computer Vision, Instalansi tools, Google Colab, dan studi kasus penerapan Computer Vision dan YOLO pada tanaman jagung.
Computer Vision Untuk Pemula Deteksi Dan Analisis Ekspresi Wajah Dengan Cnn
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Author : Christian Cahyaningtyas, M.Kom.
language : id
Publisher: Uwais Inspirasi Indonesia
Release Date : 2025-06-25
Computer Vision Untuk Pemula Deteksi Dan Analisis Ekspresi Wajah Dengan Cnn written by Christian Cahyaningtyas, M.Kom. and has been published by Uwais Inspirasi Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Antiques & Collectibles categories.
Apakah anda ingin belajar tentang teknologi computer vision? Apakah anda ingin mengetahui bagaimana cara mendeteksi ekspresi wajah manusia? Apakah anda masih seorang pemula? Jika ya, buku ini menjadi solusi bagi anda untuk mempelajarinya. Buku ini disusun untuk memberikan pemahaman dasar tentang apa itu teknologi computer vision bagi pemula. Selain membahas secara teori apa itu computer vision. Dalam buku ini juga diberikan informasi bagaimana cara melakukan pengolahan citra digital, teknik deteksi, pengenalan wajah dan ekspresi wajah manusia hingga membahas mengenai deep learning untuk computer vision dan juga diberikan contoh implementasinya, mulai dari pengumpulan datanya, preprocessing data, penerapan dan pelatihan model serta evaluasi dan visualisasi yang dihasikan. Dalam buku ini juga membahas mengenai tantangan dan pengembangan lebih lanjut mengenai computer vision di masa yang akan datang. Sehingga, buku ini sangat cocok bagi anda para pemula untuk mempelajari apa itu computer vision, bagaimana prosesnya dan bagaimana cara mengimplementasikannya serta apa saja tren dan teknologi terbaru yang dapat diterapkan di kehidupan nyata.
Computer Vision And Machine Learning In Agriculture
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2021-03-23
Computer Vision And Machine Learning In Agriculture 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 2021-03-23 with Technology & Engineering categories.
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.
Computer Vision And Robotics
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Author : Praveen Kumar Shukla
language : en
Publisher: Springer Nature
Release Date : 2023-10-29
Computer Vision And Robotics written by Praveen Kumar Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-29 with Technology & Engineering categories.
This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2023), organized by BBD University Lucknow, India, during 24–25 February 2023. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.
Computer Vision Projects With Opencv And Python 3
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Author : Matthew Rever
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-28
Computer Vision Projects With Opencv And Python 3 written by Matthew Rever and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.
Gain a working knowledge of advanced machine learning and explore Python’s powerful tools for extracting data from images and videos Key FeaturesImplement image classification and object detection using machine learning and deep learningPerform image classification, object detection, image segmentation, and other Computer Vision tasksCrisp content with a practical approach to solving real-world problems in Computer VisionBook Description Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google’s Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. What you will learnInstall and run major Computer Vision packages within PythonApply powerful support vector machines for simple digit classificationUnderstand deep learning with TensorFlowBuild a deep learning classifier for general imagesUse LSTMs for automated image captioningRead text from real-world imagesExtract human pose data from imagesWho this book is for Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.
Computer Vision Techniques For Agricultural Advancements
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Author : Bora, Dibya Jyoti
language : en
Publisher: IGI Global
Release Date : 2025-02-04
Computer Vision Techniques For Agricultural Advancements written by Bora, Dibya Jyoti and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Technology & Engineering categories.
The integration of computer vision into agriculture addresses critical societal challenges, including food security and environmental sustainability. By enabling precise crop monitoring, early disease detection, and resource-efficient farming practices, it helps optimize food production to meet the needs of a growing global population. This technology also reduces waste and minimizes environmental impact, contributing to more sustainable agricultural systems. Furthermore, it supports farmers by improving decision-making and enhancing productivity in the face of climate change and resource limitations. Overall, computer vision plays a key role in creating resilient food systems essential for a sustainable future. Computer Vision Techniques for Agricultural Advancements explores the dynamic intersection of computer vision, artificial intelligence (AI) and agriculture, offering a comprehensive overview of the latest trends, challenges, and opportunities in this rapidly evolving field. Through a series of in-depth chapters, it examines various applications of computer vision across different stages of agricultural production and management, showcasing its impact on productivity, efficiency, and sustainability. Covering topics such as AI, food safety, and yield prediction, this book is an excellent resource for researchers, academicians, agricultural engineers and technologists, agribusiness professionals, graduate and postgraduate students, technology developers, policymakers, consultants, educators, and more.
Computer Vision And Recognition Systems
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Author : Chiranji Lal Chowdhary
language : en
Publisher: CRC Press
Release Date : 2022-03-09
Computer Vision And Recognition Systems written by Chiranji Lal Chowdhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-09 with Computers categories.
This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson’s disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.
Building Computer Vision Applications Using Artificial Neural Networks
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Author : Shamshad Ansari
language : en
Publisher: Apress
Release Date : 2020-07-17
Building Computer Vision Applications Using Artificial Neural Networks written by Shamshad Ansari and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-17 with Computers categories.
Apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information from the images. You will mainly use OpenCV with Python to work with examples in this section. Section 2 describes machine learning and neural network concepts as applied to computer vision. You will learn different algorithms of the neural network, such as convolutional neural network (CNN), region-based convolutional neural network (R-CNN), and YOLO. In this section, you will also learn how to train, tune, and manage neural networks for computer vision. Section 3 provides step-by-step examples of developing business and industrial applications, such as facial recognition in video surveillance and surface defect detection in manufacturing. The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. It walks you through the process of training distributed neural networks for computer vision on GPU-based cloud infrastructure. By the time you finish reading Building Computer Vision Applications Using Artificial Neural Networks and working through the code examples, you will have developed some real-world use cases of computer vision with deep learning. What You Will Learn · Employ image processing, manipulation, and feature extraction techniques · Work with various deep learning algorithms for computer vision · Train, manage, and tune hyperparameters of CNNs and object detection models, such as R-CNN, SSD, and YOLO · Build neural network models using Keras and TensorFlow · Discover best practices when implementing computer vision applications in business and industry · Train distributed models on GPU-based cloud infrastructure Who This Book Is For Data scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge.
Computer Vision Technology For Food Quality Evaluation
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Author : Da-Wen Sun
language : en
Publisher: Elsevier
Release Date : 2011-04-28
Computer Vision Technology For Food Quality Evaluation written by Da-Wen Sun and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-28 with Technology & Engineering categories.
The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source.· Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. · International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use· Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains.
Building Computer Vision Applications Using Artificial Neural Networks
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Author : Shamshad Ansari
language : en
Publisher: Apress
Release Date : 2023-12-30
Building Computer Vision Applications Using Artificial Neural Networks written by Shamshad Ansari and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-30 with Computers categories.
Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you’ll gain a thorough understanding of them. The book’s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you’ll have the knowledge and skills to build your own computer vision applications using neural networks What You Will Learn Understand image processing, manipulation techniques, and feature extraction methods Work with convolutional neural networks (CNN), single-shot detector (SSD), and YOLO Utilize large scale model development and cloud infrastructure deployment Gain an overview of FaceNet neural network architecture and develop a facial recognition system Who This Book Is For Those who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.