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Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics.

Artificial intelligence --- Machine learning. --- Learning, Machine --- Machine theory --- Agriculture --- Agricultural applications. --- Data processing --- Agricultural innovations.

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This book serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying advanced data analytics methods and artificial intelligence to governmental processes.

Artificial intelligence. Robotics. Simulation. Graphics --- Agriculture and state. --- Artificial intelligence --- Agricultural applications. --- Internet in public administration. --- Artificial intelligence.

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Agricultural informatics. --- Agricultural innovations. --- Artificial intelligence --- Agricultural applications. --- Agriculture --- Innovations, Agricultural --- Technological change in agriculture --- Technological innovations --- Agro-informatics --- Agroinformatics --- Information science --- Data processing --- Innovations --- Technology transfer

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This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.

Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Agricultural applications --- Biological applications. --- Engineering. --- Medical records --- Bioinformatics. --- Biomedical engineering. --- Computational Intelligence. --- Health Informatics. --- Computational Biology/Bioinformatics. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Biomedical Engineering. --- Data processing. --- Biomedical Engineering and Bioengineering. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Construction --- Industrial arts --- Technology --- Data processing --- Medical care --- Computational intelligence. --- Health informatics. --- Neural networks (Computer science) . --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Natural computation --- Soft computing --- Clinical informatics --- Health informatics --- Medical information science --- Intelligence, Computational