Download or read book Incorporating Machine Vision in Precision Dairy Farming Technologies written by Anthony Neal Shelley and published by . This book was released on 2016 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Vision and Machine Learning Applications for Dairy Farming written by Rafael Ehrich Pontes Ferreira and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With recent advancements in precision livestock farming (PLF) and machine learning (ML) techniques, computer vision systems (CVS) have gained popularity as powerful tools for individual animal monitoring. These systems can capture phenotypes from multiple animals simultaneously in an automated and non-intrusive manner. Individual animal identification is crucial for matching animals with their predicted phenotypes, which can be achieved through external identification systems or computer vision-based animal identification algorithms. While previous studies have focused on using computer vision techniques for identifying dairy cows based on unique coat color patterns, these methods are limited to specific breeds that present such patterns. Furthermore, there is a lack of research on the long-term applicability of these methods, considering visual changes due to growth or physiological states. Chapter 1 discusses current applications of computer vision for animal identification, while Chapter 2 explores methods using 3-dimensional representations of the dorsal surface of dairy calves for identification without relying on coat color patterns. These methods are evaluated on calves during their growth stage, accounting for changes in body shape and size. In Chapter 3, the potential of pseudo-labeling is assessed for improving the performance of neural networks for animal identification. The results show promising performance with a fraction of annotated data compared to traditional methods. Chapters 4 and 5 focus on developing machine learning pipelines for phenotype prediction, specifically early detection of postpartum subclinical ketosis (SCK) using prepartum data exclusively. Various techniques are explored for extracting features from image, text, genotype, and cow behavior and historical data. Data fusion techniques are explored to integrate those features into the machine learning pipelines, and a cloud computing-based framework is proposed to automate data processing, feature extraction, and phenotype prediction. Overall, this dissertation highlights the potential of machine learning and computer vision in guiding data-driven management decisions in dairy farming. By automating processes and integrating data from multiple sources and modalities, these techniques offer opportunities for improving farm profitability, productivity, and animal welfare, particularly through individual animal monitoring and early detection of health issues.

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.

Download or read book Precision Dairy Farming 2016 written by Claudia Kamphuis and published by BRILL. This book was released on 2023-09-04 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The supply of new innovative precision dairy farming technologies is steadily increasing. It aims to help farmers to be more labour efficient and to support them in their daily management decisions. At the same time, since many technologies are developed from an engineering perspective, adoption of these technologies is sometimes limited since knowledge on economic benefits and farmers' needs is often incomplete. This book covers the current status of precision dairy farming technologies and what farmers expect from them. It also includes insights and future perspectives on managing, analysing, and combining sensor information. Moreover, new innovative ideas that may better fit farmers' needs and expectation are introduced, ranging from technologies or innovations that aim at improved animal health and welfare, to those technologies that result in a more efficient use of feed and improved grazing management. This book is unique because science and engineering are combined to develop precision dairy farming technologies that are to be applied in practice. The book will serve as a stepping stone for new and innovative ideas within this rapidly growing area within dairy farming.

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.

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.

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.

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 338 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.

Download or read book How Machine Learning is Innovating Today s World written by Arindam Dey and published by John Wiley & Sons. This book was released on 2024-07-23 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive understanding of the latest advancements and practical applications of machine learning techniques. Machine learning (ML), a branch of artificial intelligence, has gained tremendous momentum in recent years, revolutionizing the way we analyze data, make predictions, and solve complex problems. As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. How Machine Learning is Innovating Today's World is a timely book and presents a diverse collection of 25 chapters that delve into the remarkable ways that ML is transforming various fields and industries. It provides a comprehensive understanding of the practical applications of ML techniques. The wide range of topics include: An analysis of various tokenization techniques and the sequence-to-sequence model in natural language processing explores the evaluation of English language readability using ML models a detailed study of text analysis for information retrieval through natural language processing the application of reinforcement learning approaches to supply chain management the performance analysis of converting algorithms to source code using natural language processing in Java presents an alternate approach to solving differential equations utilizing artificial neural networks with optimization techniques a comparative study of different techniques of text-to-SQL query conversion the classification of livestock diseases using ML algorithms ML in image enhancement techniques the efficient leader selection for inter-cluster flying ad-hoc networks a comprehensive survey of applications powered by GPT-3 and DALL-E recommender systems' domain of application reviews mood detection, emoji generation, and classification using tokenization and CNN variations of the exam scheduling problem using graph coloring the intersection of software engineering and machine learning applications explores ML strategies for indeterminate information systems in complex bipolar neutrosophic environments ML applications in healthcare, in battery management systems, and the rise of AI-generated news videos how to enhance resource management in precision farming through AI-based irrigation optimization. Audience The book will be extremely useful to professionals, post-graduate research scholars, policymakers, corporate managers, and anyone with technical interests looking to understand how machine learning and artificial intelligence can benefit their work.

Download or read book Precision Livestock Farming Applications written by Ilan Halachmi and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Livestock Farming (PLF) technology is a reality. PLF is a combination of developing animal sensing (sensors) tools and decision-making process at the farm level. It also has the potential to support animal feed suppliers, human-food retailers and other players along the supply chain to make better choices. The current challenge for PLF is the integration of the technology in the majority of the farms and not only to the pioneering farms. This book consist of full-length peer-reviewed papers combined with 'questions and answers' sections. It is the result of a joint session hosted by the European Association of Animal Production and brings together research focusing on real-time interpretation of the combination of sensor development, industry, animal genetics, animal nutrition, and animal health. Unique of this 'cross-disciplinary' approach is that 'animal-focused' scientists, engineers, companies as well as farmers' organizations have interacted and combined their strengths and views. 'Precision Livestock Farming Applications - Making sense of sensors to support farm management' provides an update on the state of the art of PLF in interaction with the other scientific and applicative expertise. It is of interest for researchers, students, professionals, farmers, and livestock industry concerned with livestock production management.

Download or read book Precision Agriculture Technology and Economic Perspectives written by Søren Marcus Pedersen and published by Springer. This book was released on 2017-11-15 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cases from different countries with a main focus on the perspectives of using precision farming in Europe. Divided into 12 chapters it addresses some of the most recent developments and aspects of precision farming. The intention of this book is to provide an overview of some of the most promising technologies with precision agriculture from an economic point of view. Each chapter has been put together so that it can be read individually should the reader wish to focus on one particular topic. Precision Farming as a farm technology benefits from large-scale advantages due to relatively high investment costs and is primarily adopted on farms with medium to large field areas.

Download or read book The Political Economy of the 2014 2020 Common Agricultural Policy written by Johan F.M. Swinnen and published by Rowman & Littlefield. This book was released on 2015-07-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: After five years of debates, consultations and negotiations, the European institutions reached an agreement in 2013 on the Common Agricultural Policy (CAP) for the 2014-2020 period. The outcome has major implications for the EU’s budget and farmers’ incomes, but also for Europe’s environment, its contribution to global climate change and to food security in the EU and in the world. It was decided to spend more than €400 billion during the rest of the decade on the CAP. The official claims are that the new CAP will take better account of society's expectations and lead to far-reaching changes by making subsidies fairer and ‘greener’ and making the CAP more efficient. It is also asserted that the CAP will play a key part in achieving the overall objective of promoting smart, sustainable and inclusive growth. However, there is significant scepticism about these claims and disappointment with the outcome of the decision-making, the first in which the European Parliament was involved under the co-decision procedure. In contrast to earlier reforms where more substantive changes were made to the CAP, the factors that induced the policy discussions in 2008-13 and those that influenced the decision-making did not reinforce each other. On the contrary, they sometimes counteracted one another, yielding an ‘imperfect storm’ as it were, resulting in more status quo and fewer changes. This book discusses the outcome of the decision-making and the factors that influenced the policy choices and decisions. It brings together contributions from leading academics from various disciplines and policy-makers, and key participants in the process from the European Commission and the European Parliament.

Download or read book Automation in Agriculture written by Stephan Hussmann and published by BoD – Books on Demand. This book was released on 2018-03-14 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to Prof. D. Despommier, by the year 2050, nearly 80% of the earth's population will reside in urban centers. Furthermore, the human population will increase by about 3 billion people during the interim. New land will be needed to grow enough food to feed them. At present, throughout the world, over 80% of the land that is suitable for raising crops is in use. What can be done to avoid this impending disaster? One possible solution is indoor farming. However, not all crops can easily be moved in an indoor environment. Nevertheless, to secure the food supply, it is necessary to increase the automation level in agriculture significantly. This book intends to provide the reader with a comprehensive overview of the impact of the Fourth Industrial Revolution and automation examples in agriculture.

Download or read book Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture written by Huajian Liu and published by Frontiers Media SA. This book was released on 2024-01-18 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.

Download or read book Remote Sensing in Precision Agriculture written by Salim Lamine and published by Elsevier. This book was released on 2023-10-20 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones’ geospatial data. The book presents case studies, new algorithms and the latest methods surrounding crop sown area estimation, determining crop health status, assessment of vegetation dynamics, crop diseases identification, crop yield estimation, soil properties, drone image analysis for crop damage assessment, and other issues in precision agriculture. This book is ideal for those seeking to explore and implement remote sensing in an effective and efficient manner with its compendium of scientifically and technologically sound information. Presents a well-integrated collection of chapters, with quality, consistency and continuity Provides the latest RS techniques in Precision Agriculture that are addressed by leading experts Includes detailed, yet geographically global case studies that can be easily understood, reproduced or implemented Covers geospatial data, with codes available through shared links

Download or read book Innovative Precision Dairy Systems written by Callum Ross Eastwood and published by . This book was released on 2008 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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: