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Advances in Neural Networks
(Bayreuth University, Germany), Jennie Si (Arizona State University, USA), and Hang Li (MicrosoftResearchAsia, China). Besides the regularsessions andpanels, ISNN 2008 also featured four special sessions focusing on some emerging topics.
The Lost Geopoetic Horizon of Li Jieren
Engaged with the paradigms of cultural geography, local history, spatial politics, and everyday life, The Lost Geopoetic Horizon of Li Jieren unveils a Sichuan writer’s lifelong quest: an independent historical fiction writing project on Chengdu from the turn of the century through China’s 1911 Revolution. Kenny Kwok-kwan Ng's study illuminates the crisis of writing home in a globalized age by rescuing Li Jieren’s repeatedly revised but never finished river-novel series written from Republican to Communist China, struggling to liberate local memory from the national cum revolutionary currents. The book undercuts official historiography and rewrites Chinese literary history from the ground up by highlighting Li’s resilient geopoetics of writing that decenters the nation by adopting the place-based view of a distant province.
Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques
With rapid progress being made in both theory and practical applications, Artificial Intelligence (AI) is transforming every aspect of life and leading the world towards a sustainable future. AI technology is fundamentally and radically affecting agriculture with a move towards smart systems. The outcome of this transition is improved efficiency, reduced environmental pollution, and enhanced productivity of crops. Nondestructive Evaluation of Agro-products by Intelligent Sensing Techniques is a reference which provides readers timely updates in the progress of intelligent sensing techniques used for nondestructive evaluation of agro-products. Chapters, each contributed by experts in food saf...
Deep Learning - A Modern Approach
Deep learning is a popular topic these days since it is a high-level machine learning approach that combines a class of learning algorithms with the application of multiple layers of nonlinear units. A subfield of machine learning, deep learning focuses on powerful algorithms inspired by the structure and function of the human brain called neural networks. A unified geometric analysis to understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are described from a unified geometric perspective, showing that they actually come from statistical distance-...
Precision Agriculture
Precision agriculture has revolutionized the way crops are grown and managed by utilizing advanced technologies to optimize farm production, reduce waste, and improve environmental sustainability. Emerging technologies in precision agriculture, including edge computing, 5G communication, the Internet of Things, artificial intelligence, digital twins, blockchain, big data analytics, robotics, and augmented reality, are making significant contributions to the growth and development of this field. This book explores the latest advancements, achievements, and opportunities associated with these technologies in terms of improved efficiency, reduced labor costs, and enhanced safety, as well as the challenges involved in the implementation, such as high costs of adoption, regulations, and the need for skilled personnel. Each chapter presents research reports describing new methods and perspectives in precision agriculture applications based on innovative tools from basic and applied research. This book can serve both the academic community and farmers by demonstrating how modern technologies are advancing precision agriculture to the next level.
Computer and Computing Technologies in Agriculture II, Volume 2
The papers in this volume comprise the refereed proceedings of the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), in Beijing, China, 2008. The conference on the Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA 2008) is cooperatively sponsored and organized by the China Agricultural University (CAU), the National Engineering Research Center for Information Technology in Agriculture (NERCITA), the Chinese Society of Agricultural Engineering (CSAE) , International Federation for Information Processing (IFIP), Beijing Society for Information Technology in Agriculture, China and Beijing Researc...
IoT and AI in Agriculture
This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) solutionsto agricultural productivity in the agricultural production hubs. In this regard, South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To address such challenges, a transboundary approach along with AI and BIG data for bioinformatics are required to increase yield and minimize pre- and post-harvest losses in intangible climates to drive the sustainable development goal (SDG) for feeding a major part of the 9 billion population ...
Industry Automation: The Technologies, Platforms and Use Cases
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution i...
Encyclopedia of Digital Agricultural Technologies
Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles. Springer Major Reference Works platform offers Live Update capability. Our reference work take...
