Precision Dairy Farming 2016

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.

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.

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.

This issue of Veterinary Clinics: Food Animal Practice, Guest Edited by Dr. Nigel B. Cook, in collaboration with Consulting Editor Dr. Robert Smith, focuses on Housing to Optimize Comfort, Health and Productivity of Dairy Cattle. Article topics include: The housing dilemma: natural living vs. animal protection; Calf barn design and management; Lying time and its importance to the dairy cow: impact of stocking density and time budget stresses; Feeding behavior, feed space and bunk design, and management for adult dairy cattle; Maximizing comfort in tiestall housing; Free stall design and bedding management; Maternal behavior and design of the maternity pen; Housing the cow in transition to optimize early lactation performance; Ventilation systems for adult dairy cattle; Cooling systems for dairy cows; Designing dairy herds with automated milking systems; and Low stress handling areas for dairy cow barns.

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of Science and Technology This book presents some meaningful work on Big Data analytics and its applications. Each chapter generates helpful guidance to the readers on Big Data analytics and its applications, challenges, and prospects that is necessary for organizational strategic direction. —Dr. Alex Koohang, Middle Georgia State University Big Data is a concept that has caught the attention of practitioners, academicians, and researchers. Big Data offers organizations the possibility of gaining a competitive advantage by managing, collecting, and analyzing massive amounts of data. As the promises and challenges posed by Big Data have increased over the past decade, significant issues have developed regarding how data can be used for improving management. Big Data can be understood as large amounts of data generated by the Internet and a variety of connected smart devices and sensors. This book discusses the main challenges posed by Big Data in a manner relevant to both practitioners and scholars. It examines how companies can leverage Big Data analytics to act and optimize the business. This book brings together the theory and practice of management in the era of Big Data. It offers a look at the current state of Big Data, including a comprehensive overview of both research and practical applications. By bringing together conceptual thinking and empirical research on the nature, meaning, and development of Big Data in management, this book unifies research on Big Data in management to stimulate new directions for academic investigation as well as practice.

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

Many industries are affected by the growing advancements and stability of the internet of things (IoT) technologies and tools. These include the agricultural fields. With such advancements, decision-enabling agricultural field data gets gathered and transmitted meticulously through numerous IoT sensors and devices deployed in agricultural fields and their surroundings. Further study on these technologies is required to ensure they are utilized appropriately within the field. Applying Drone Technologies and Robotics for Agricultural Sustainability conveys the latest trends and transitions happening in the digital space in order to fulfill the varying needs and sentiments of the agriculture domain. Covering key topics such as deep learning, robots, sustainability, and smart farming, this premier reference source is ideal for industry professionals, farmers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.