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| Author | : Han-Fu Chen |
| Publisher | : Pergamon |
| Total Pages | : 526 |
| Release | : 1999-10 |
| Genre | : Computers |
| ISBN | : 9780080432229 |
| Author | : S. Panigrahi |
| Publisher | : Springer |
| Total Pages | : 274 |
| Release | : 1998-06-30 |
| Genre | : Computers |
| ISBN | : |
Reports on research directed towards solving different problems in biology and agriculture using artificial intelligence (AI) technologies. Subjects include a computer vision method for determining length of cheese shreds, automated modeling of physiological processes during postharvest distribution of agricultural products, video grading of oranges in real-time, and fuzzy logic for biological and agricultural systems. Reprinted from Artificial Intelligence Review, vol. 12, nos. 1-3, 1998. No index. Annotation copyrighted by Book News, Inc., Portland, OR
| Author | : Yanbo Huang |
| Publisher | : Springer Nature |
| Total Pages | : 264 |
| Release | : 2021-08-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3030721027 |
Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.
| Author | : Internationale Förderung für Automatische Lenkung |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 1999 |
| Genre | : |
| ISBN | : 9780080432229 |
| Author | : H.K. Purwadaria |
| Publisher | : Pergamon |
| Total Pages | : 340 |
| Release | : 2002-05-14 |
| Genre | : Technology & Engineering |
| ISBN | : |
This Proceedings contains the papers presented at the second IFAC-CIGR Workshop on Intelligent Control For Agricultural Applications, held in Bali, Indonesia, 22-24 August 2001. The workshop provided a forum for the presentation and discussion of new results and approaches in the area of intelligent control application in agriculture and industry. The topics covered in the Proceedings range from precision farming to applications of control, neural networks and fuzzy algorithms in greenhouse technology, agricultural production and industrial processes. Also covered are quality evaluation using non-destructive methods such as ultrasonic, visible light and near infrared reflectance (NIR), as well as agricultural commodities, including fishery products as well as plants. Altogether over 50 papers are presented, including keynote papers by leading world experts.
| Author | : Razmjooy, Navid |
| Publisher | : IGI Global |
| Total Pages | : 337 |
| Release | : 2019-02-22 |
| Genre | : Technology & Engineering |
| ISBN | : 152258028X |
The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.
| Author | : A.J. Tallón-Ballesteros |
| Publisher | : IOS Press |
| Total Pages | : 990 |
| Release | : 2018-11-06 |
| Genre | : Computers |
| ISBN | : 1614999279 |
Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries. This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% . Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.
| Author | : W. Day |
| Publisher | : Elsevier |
| Total Pages | : 463 |
| Release | : 2014-07-04 |
| Genre | : Technology & Engineering |
| ISBN | : 1483298396 |
This title provides a general overview of recent developments and research into types of systems and their uses in the agricultural and horticultural industry. 64 papers are included, containing both theoretical models and applied examples for greenhouse systems, harvesting technology and plant factory systems.
| Author | : Debesh Mishra |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 218 |
| Release | : 2022-07-18 |
| Genre | : Computers |
| ISBN | : 3110745372 |
This book covers the emerging applications of different computational and optimization techniques in order to achieve a sustainable agriculture. A sustainable agricultural management requires tools in providing integrated, area-specifi c, and interpreted prediction or forecasting and guidance in every aspect in agriculture.
| Author | : Roheet Bhatnagar |
| Publisher | : John Wiley & Sons |
| Total Pages | : 500 |
| Release | : 2022-06-15 |
| Genre | : Computers |
| ISBN | : 1119823331 |
THE DIGITAL AGRICULTURAL REVOLUTION The book integrates computational intelligence, applied artificial intelligence, and modern agricultural practices and will appeal to scientists, agriculturists, and those in plant and crop science management. There is a need for synergy between the application of modern scientific innovation in the area of artificial intelligence and agriculture, considering the major challenges from climate change consequences viz. rising temperatures, erratic rainfall patterns, the emergence of new crop pests, drought, flood, etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies, and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of the convergence of different disruptive technologies. The book touches upon the following topics which have contributed to revolutionizing agricultural practices. Applications of Artificial Intelligence in Agriculture (AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in the agriculture domain, integration & coordination of systems and issues & challenges). IoT and Big Data Analytics Applications in Agriculture (theory & architecture and the use of various types of sensors in optimizing agriculture resources and final product, benefits in real-time for crop acreage estimation, monitoring & control of agricultural produce). Robotics & Automation in Agriculture Systems (Automation challenges, need and recent developments and real case studies). Intelligent and Innovative Smart Agriculture Applications (use of hybrid intelligence in better crop health and management). Privacy, Security, and Trust in Digital Agriculture (government framework & policy papers). Open Problems, Challenges, and Future Trends. Audience Researchers in computer science, artificial intelligence, electronics engineering, agriculture automation, crop management, and science.
