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Updated to fully comply with the NSW BOSTES Agriculture Stage 6 syllabus (amended 2013) Up-to-date content and data Full colour design, photographs and diagrams Question sets spread throughout each chapter Links to appropriate websites End of chapter questions Updated worksheets for use in the class or for homework Teacher access to digital content.
This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines. - 50% new content – 100% reviewed and updated - Clearly explains practical application of the methods presented, including R language examples - Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields
Humans interact with and are part of the mysterious processes of nature. Inevitably they have to discover how to manage the environment for their long-term survival and benefit. To do this successfully means learning something about the dynamics of natural processes, and then using the knowledge to work with the forces of nature for some desired outcome. These are intriguing and challenging tasks. This book describes a technique which has much to offer in attempting to achieve the latter task. A knowledge of dynamic programming is useful for anyone interested in the optimal management of agricultural and natural resources for two reasons. First, resource management problems are often problems of dynamic optimization. The dynamic programming approach offers insights into the economics of dynamic optimization which can be explained much more simply than can other approaches. Conditions for the optimal management of a resource can be derived using the logic of dynamic programming, taking as a starting point the usual economic definition of the value of a resource which is optimally managed through time. This is set out in Chapter I for a general resource problem with the minimum of mathematics. The results are related to the discrete maximum principle of control theory. In subsequent chapters dynamic programming arguments are used to derive optimality conditions for particular resources.
Farming Systems Research has three core characteristics: it builds on systems thinking, it depends on the close collaboration between social and biophysical sciences, and it relies on participation to build co-learning processes. Farming Systems Research posits that to contribute towards sustainable rural development, both interdisciplinary collaborations and local actor engagement are needed. Together, they allow for changes in understanding and changes in practices. This book gives an overview of the insights generated in 20 years of Farming Systems Research. It retraces the emergence and development of Farming Systems Research in Europe, summarises the state-of-the-art for key areas, and provides an outlook on new explorations, especially those tackling the dynamic nature of farming systems and their interaction with the natural environment and the context of action.
Steiner's original contribution to human knowledge was based on his ability to conduct 'spiritual research', the investigation of metaphysical dimensions of existence. With his scientific and philosophical training, he brought a new systematic discipline to the field, allowing for conscious methods and comprehensive results. A natural seer from childhood, he cultivated his spiritual vision to a high degree, enabling him to speak with authority on previously veiled mysteries of life. The evolving human being; Cosmos as the source of life; Plants and the living earth; Farms and the realms of nature; Bringing the chemical elements to life; Soil and the world of spirit; Supporting and regulating life processes; Spirits of the elements; Nutrition and vitality; Responsibility for the future.
A move towards more flexible, sustainable agricultural practices is increasingly being seen as the way to address or avoid environmental and economic problems associated with existing, predominantly intensive, farming systems. Through case studies taken from around the world, this book examines the implications of adopting more ecologically sound agricultural practices, both at the level of individual farmers and at the level of larger-scale agro-ecosystems such as water catchments. The emphasis of the book is on human and social aspects, rather than on agronomic or economic considerations, focusing on the learning processes necessary for change to be implemented and, in turn, on the facilitation of that learning through participatory approaches and appropriate institutional support and policy structure.
"The twenty-first century is the age of science and technology. It will also be the age when humanity confronts, for the first time, a challenge that may overwhelm and destroy the human species itself in as little as 12 to 20 years from now. This is the challenge of artificial intelligence (AI) Deployed properly, AI will confer tremendous benefits to society. It is already doing this. Deployed inappropriately or mistakenly, AI will undermine human civilization, as it is also starting to do, and could then lead to the extinction of humanity. Scientists, philosophers, and engineers call this latter possibility the 'existential risk' of AI. The fate of our future is literally in our hands." --Nicanor Perlas (from the preface) Although still in its earliest stages, artificial intelligence is radically transforming all aspects of society. With the immanent emergence of Artificial Super Intelligence (ASI) and the illusory temptations of "transhumanism," humankind stands at a crossroads. Nicanor Perlas makes an urgent plea in this book. It is imperative, he says, that we take immediate steps to ensure that digitized technology is aligned to human values and priorities. Otherwise, ASI will kill the essence of our humanity. Furthermore, if we do not master it now, ASI will transform humanity into its own image--ultimately, it will destroy the human race. AI experts have not offered a single cogent solution to this existential threat. Rudolf Steiner, however, not only foresaw these developments, but also provided clear alternatives. Steiner--who developed a contemporary scientific approach to spirituality--provided philosophical, ontological, and social innovations to save humanity from this technological abyss. It is the task of the global anthroposophic movement to pioneer this civilization-saving work--to establish spiritual-scientific ideas in mainstream culture that would allow AI to emerge in a healthier societal context. Perlas offers an overview of the AI phenomenon, together with its related transhuman concepts of "perfecting humanity," outlining the critical internal and external responses needed to meet them consciously. In particular, the author addresses the movement connected to the work of Rudolf Steiner, indicating its all-important tasks to cooperate with progressive individuals and movements, including scientists and civil society activists; to mobilize its "daughter" movements for action; and, ultimately, to cooperate with the spiritual powers that have guided and served humanity since the dawn of time. This, says Perlas, is humanity's last stand. Failure is not an option.