8 lectures, Koberwitz, June 7-20, 1924 (CW 327) The audio book, complete and unabridged (10 CD set), is read by respected actor and speech teacher Peter Bridgmont, author of Liberation of the Actor When Rudolf Steiner gave these lectures eighty years ago, industrial farming was on the rise and organic methods were being replaced in the name of science, efficiency, and technology. With the widespread alarm over food quality in recent years, and with the growth of the organic movement and its mainstream acceptance, perceptions are changing. The qualitative aspect of food is on the agenda again, and in this context Steiner's only course of lectures on agriculture is critical to the current debate. With these talks, Steiner created and launched "biodynamic" farming--a form of agriculture that has come to be regarded as the best organically produced food. However, the agriculture Steiner speaks of here is much more than organic--it involves working with the cosmos, with the earth, and with spiritual beings. To facilitate this, Steiner prescribes specific "preparations" for the soil, as well as other distinct methods born from his profound understanding of the material and spiritual worlds. He presents a comprehensive picture of the complex dynamic relationships at work in nature and gives basic indications of the practical measures needed to bring them into full play. These lectures are reprinted here in the "classic" translation made by Rudolf Steiner's English interpreter, George Adams. This edition also features a preface by Steiner's colleague the medical doctor Ehrenfried Pfeiffer, as well as eight color plates. This is the course that began the biodynamic movement. Rudolf Steiner's Agriculture Course is the essential work for anyone wanting to understand and use Steiner's methods of food production. This book is a translation from German of Geisteswissenschaftliche Grundlagen zum Gedeihen der Landwirtschaft. Landwirtschaftlicher Kursus (GA 327).

The relentless advances in all areas of information and communication technology, intelligent systems, and related domains have continued to drive innovative research. Most of these works have attempted to contribute in some form towards improving human life in general and have become indispensable elements of our day-to-day lives. The evolution continues at an accelerated pace while the world faces innumerable challenges and rapid advances in artificial intelligence, wireless communication, sensors, cloud and edge computing, and biomedical sciences. These advances must be documented and studied further in order to ensure society's continual development. The Handbook of Research on Evolving Designs and Innovation in ICT and Intelligent Systems for Real-World Applications disseminates details of works undertaken by various groups of researchers in emerging areas related to information and communication technology, electronics engineering, intelligent systems, and allied disciplines with real-world applications. Covering a wide range of topics such as augmented reality and wireless sensor networks, this major reference work is ideal for industry professionals, researchers, scholars, practitioners, academicians, engineers, instructors, and students.

Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Robotics plays a pivotal role in many domains such as industry and medicine. Robots allow for increased safety, production rates, accuracy, and quality; however, robots must be well designed and controlled to achieve the required performance. The design and control of robotics involve many varying disciplines, such as mechanical engineering, electronics, and automation, and must be further studied to ensure the technology is utilized appropriately. Design and Control Advances in Robotics considers the most recent applications and design advances in robotics and highlights the latest developments and applications within the field of robotics. Covering key topics such as deep learning, machine learning, programming, automation, and control advances, this reference work is ideal for engineers, computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.