Robot Farm

Seatbelts, everyone! Ms. Frizzle's class learns all about the role of technology on farms! Wanda proudly hosts this year's school harvest feast, but she was so busy promoting it she forget to get the food! Luckily, Ralphie happens to know of a farm that grows the finest produce around, but there's a problem: he thinks it's haunted! There are tractors driven by ghosts, plants that climb walls, and so many robots! Could the spooky discoveries actually be helping the farm?

This book presents the proceedings of the International Conference on Computing Networks, Big Data and IoT [ICCBI 2019], held on December 19–20, 2019 at the Vaigai College of Engineering, Madurai, India. Recent years have witnessed the intertwining development of the Internet of Things and big data, which are increasingly deployed in computer network architecture. As society becomes smarter, it is critical to replace the traditional technologies with modern ICT architectures. In this context, the Internet of Things connects smart objects through the Internet and as a result generates big data. This has led to new computing facilities being developed to derive intelligent decisions in the big data environment. The book covers a variety of topics, including information management, mobile computing and applications, emerging IoT applications, distributed communication networks, cloud computing, and healthcare big data. It also discusses security and privacy issues, network intrusion detection, cryptography, 5G/6G networks, social network analysis, artificial intelligence, human–machine interaction, smart home and smart city applications.

This book introduces cutting-edge issues and thought-provoking concepts on innovation management. It illustrates how robotic developments allow new powerful support functionalities for harnessing workplace innovations and new types of work in enterprises. In particular, low status jobs—heavy, repetitive and dangerous jobs—are disappearing and increasingly replaced by creative and meaningful work. It situates the research within theoretical developments and academic literature in business and management studies on innovation networks and partnerships. The book then introduces the notion of "friction management," which invites us to re-examine creative tensions and explore how contradictions may spur or restrain change and innovation in this landscape. Innovation and change challenge established patterns, cultures, value systems, interests and network configurations—which creates a variety of frictions. Therefore, a theory of friction management is crucial, particularly in innovation-intensive industries, and can help professionals to understand change and the dynamics of innovation so that they can orchestrate events and learn to distinguish between the creative and negative frictions that can arise and that are important for change and the innovation process. Thus, the goal of friction management is to orchestrate, mobilize and (re)combine key organizational resources to strategically increase innovation capacity and promote dynamic renewal and creativity. It will be of interest to scholars and postgraduates in the areas of innovation management, sociology and business administration.

Problems of joint application of heterogeneous ground and air robotic means while performing the agricultural technological tasks that require physical interaction with agricultural products and the environment are discussed in the book. Proposed solutions for the exchange of energy and physical resources of unmanned aerial vehicles on ground service platforms, automation of the process of collecting agricultural products and ensuring the stability of the air manipulation system at physical interaction with a ground object are important for the transport and agricultural industry robotization. The book addresses the researchers investigating interdisciplinary issues of agricultural production robotization, problems of information, physical and energy interaction of ground and air robots; recommended to postgraduates and students studying "Mechatronics and robotics" and "Technologies, mechanization and power equipment in agriculture, forestry and fisheries."

Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.

This book covers three main types of agricultural systems: the use of robotics, drones (unmanned aerial vehicles), and satellite-guided precision farming methods. Some of these are well refined and are currently in use, while others are in need of refinement and are yet to become popular. The book provides a valuable source of information on this developing field for those involved with agriculture and farming and agricultural engineering. The book is also applicable as a textbook for students and a reference for faculty.

This book provides a review of the state-of-the-art of agricultural robotics in different aspects of PA, the goals, and the gaps. The book introduces the area of Agricultural Robotics for Precision Agriculture (PA) specifically the conditions and limitations for implementing robots in this field and presents the concepts, principles, required abilities, components, characteristics and performance measures, conditions, and rules for robots in PA.