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Three Essays On The Applications Of Neural Networks And Genetic Algorithms In Agricultural Economics
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Book Synopsis Three Essays on the Applications of Neural Networks and Genetic Algorithms in Agricultural Economics by : Patrick T. Berends
Download or read book Three Essays on the Applications of Neural Networks and Genetic Algorithms in Agricultural Economics written by Patrick T. Berends and published by . This book was released on 1998 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Artificial Neural Networks and Genetic Algorithms to Agricultural Systems by : Y. Hashimoto
Download or read book Applications of Artificial Neural Networks and Genetic Algorithms to Agricultural Systems written by Y. Hashimoto and published by . This book was released on 1997 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Application of Machine Learning in Agriculture by : Mohammad Ayoub Khan
Download or read book Application of Machine Learning in Agriculture written by Mohammad Ayoub Khan and published by Academic Press. This book was released on 2022-05-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. - Addresses the technology of smart agriculture from a technical perspective - Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop - Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1999 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Staff Paper written by and published by . This book was released on 1999-06 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning Applications for Agricultural Economics by : Kennedy Odongo
Download or read book Machine Learning Applications for Agricultural Economics written by Kennedy Odongo and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation utilizes machine learning to answer questions in agricultural economics in three related but independent essays. Machine learning and data science are increasingly being adopted in interdisciplinary work providing complimentary analytical methods and data tools for economics research. I use machine learning to investigate how COVID-19 and the resulting media coverage affected specialty crop markets dynamics and to develop insights into how attributes of a new apple variety can be utilized in an advertising campaign to derive demand.The first paper of my dissertation investigates how COVID-19 and related social and traditional media coverage affected shipping point prices of specialty crops. I use Twitter data to estimate how the prevalence COVID-19 topics affect crop demand. The results show that crops that are usually consumed as food away from home (FAFH) were the most affected by COVID-19 relative to crops usually consumed as food at home (FAH). The impact of the pandemic was heterogenous across specialty crops with crops whose usage is concentrated in FAFH settings experiencing a decrease in demand compared to crops used mostly in FAH settings.The second compares the performance of two time series forecasting techniques in the context of event studies. The event in this paper is the economy-wide COVID-19 shutdown. The results show that the prices in strawberry and apples markets were higher during the pandemic than they should have been. In comparing the two forecasting methods, the neural network outperforms ARIMA on error metrics such as the Mean Absolute Error.The third paper evaluates how attributes for newly developed WA 38 apple sold under the Cosmic Crisp brand can be used to accelerate demand. I identify the market segments where marketing is effective and identify the attributes of the brand that most appeal to consumers. The results show that sentiment on Cosmic Crisp brand is positive with an overall compound score of 0.2263. The online conversation on the brand revolves around the history and novelty of the variety, farm tours to drive demand, the taste and appearance of the apple and its affiliation to the university where it was developed.
Book Synopsis American Doctoral Dissertations by :
Download or read book American Doctoral Dissertations written by and published by . This book was released on 1997 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Staff, Programs, and Publications in Agricultural Economics Kansas State University by :
Download or read book Staff, Programs, and Publications in Agricultural Economics Kansas State University written by and published by . This book was released on 1999 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :John J. Grefenstette Publisher :Springer Science & Business Media ISBN 13 :9780792394075 Total Pages :182 pages Book Rating :4.3/5 (94 download)
Book Synopsis Genetic Algorithms for Machine Learning by : John J. Grefenstette
Download or read book Genetic Algorithms for Machine Learning written by John J. Grefenstette and published by Springer Science & Business Media. This book was released on 1993-11-30 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at a special Workshop on Genetic Algorithms for Machine Learning at the same Conference. Genetic algorithms are general-purpose search algorithms that use principles inspired by natural population genetics to evolve solutions to problems. The basic idea is to maintain a population of knowledge structure that represent candidate solutions to the problem of interest. The population evolves over time through a process of competition (i.e. survival of the fittest) and controlled variation (i.e. recombination and mutation). Genetic Algorithms for Machine Learning contains articles on three topics that have not been the focus of many previous articles on GAs, namely concept learning from examples, reinforcement learning for control, and theoretical analysis of GAs. It is hoped that this sample will serve to broaden the acquaintance of the general machine learning community with the major areas of work on GAs. The articles in this book address a number of central issues in applying GAs to machine learning problems. For example, the choice of appropriate representation and the corresponding set of genetic learning operators is an important set of decisions facing a user of a genetic algorithm. The study of genetic algorithms is proceeding at a robust pace. If experimental progress and theoretical understanding continue to evolve as expected, genetic algorithms will continue to provide a distinctive approach to machine learning. Genetic Algorithms for Machine Learning is an edited volume of original research made up of invited contributions by leading researchers.
Book Synopsis Three Essays on the Application of Machine Learning Methods in Economics by : Abdelaziz Lawani
Download or read book Three Essays on the Application of Machine Learning Methods in Economics written by Abdelaziz Lawani and published by . This book was released on 2018 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neural Network Applications in Agricultural Economics by : Jianhua Chen
Download or read book Neural Network Applications in Agricultural Economics written by Jianhua Chen and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Three Essays on the Economics of Precision Agriculture Technologies by : Sofia Kotsiri
Download or read book Three Essays on the Economics of Precision Agriculture Technologies written by Sofia Kotsiri and published by . This book was released on 2013 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning and Artificial Intelligence for Agricultural Economics by : Chandrasekar Vuppalapati
Download or read book Machine Learning and Artificial Intelligence for Agricultural Economics written by Chandrasekar Vuppalapati and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.
Book Synopsis Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises by : Zhao, Jingyuan
Download or read book Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises written by Zhao, Jingyuan and published by IGI Global. This book was released on 2022-04-08 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Necessity is the mother of invention; challenging times can provide new opportunities that must be detected and exploited at the right moments. The COVID-19 pandemic has demonstrated that it is not only an issue of healthcare but also a challenge for the global economy, business, and society. Organizations have rapidly deployed technology solutions that enable them to work and service remotely and continue most of their normal operations. The Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises focuses on emerging technologies and systems, strategies, and solutions for e-collaboration. This book assesses the importance of technologies and systems for e-collaboration in dealing with emerging crises such as pandemics. Covering topics such as deep learning processes, machine vision, and profit-sharing models, it is an essential resource for computer scientists, public officials, engineers, students and professors of higher education, healthcare administration, programmers, researchers, and academicians.
Book Synopsis Artificial Neural Networks in Agriculture by : Sebastian Kujawa
Download or read book Artificial Neural Networks in Agriculture written by Sebastian Kujawa and published by Mdpi AG. This book was released on 2021-11-11 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern agriculture needs to have high production efficiency combined with a high quality of obtained products. This applies to both crop and livestock production. To meet these requirements, advanced methods of data analysis are more and more frequently used, including those derived from artificial intelligence methods. Artificial neural networks (ANNs) are one of the most popular tools of this kind. They are widely used in solving various classification and prediction tasks, for some time also in the broadly defined field of agriculture. They can form part of precision farming and decision support systems. Artificial neural networks can replace the classical methods of modelling many issues, and are one of the main alternatives to classical mathematical models. The spectrum of applications of artificial neural networks is very wide. For a long time now, researchers from all over the world have been using these tools to support agricultural production, making it more efficient and providing the highest-quality products possible.
Download or read book Journal of Economic Literature written by and published by . This book was released on 2007 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Inspired by Nature by : Susan Stepney
Download or read book Inspired by Nature written by Susan Stepney and published by Springer. This book was released on 2017-10-25 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a tribute to Julian Francis Miller’s ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry and theoretical biology. Leading international experts in computing inspired by nature offer their insights into the principles of information processing and optimisation in simulated and experimental living, physical and chemical substrates. Miller invented Cartesian Genetic Programming (CGP) in 1999, from a representation of electronic circuits he devised with Thomson a few years earlier. The book presents a number of CGP’s wide applications, including multi-step ahead forecasting, solving artificial neural networks dogma, approximate computing, medical informatics, control engineering, evolvable hardware, and multi-objective evolutionary optimisations. The book addresses in depth the technique of ‘Evolution in Materio’, a term coined by Miller and Downing, using a range of examples of experimental prototypes of computing in disordered ensembles of graphene nanotubes, slime mould, plants, and reaction diffusion chemical systems. Advances in sub-symbolic artificial chemistries, artificial bio-inspired development, code evolution with genetic programming, and using Reed-Muller expansions in the synthesis of Boolean quantum circuits add a unique flavour to the content. The book is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists and engineers to chemists and biologists.
