| 書目名稱 | Machine Learning and Artificial Intelligence for Agricultural Economics |
| 副標(biāo)題 | Prognostic Data Anal |
| 編輯 | Chandrasekar Vuppalapati |
| 視頻video | http://file.papertrans.cn/621/620435/620435.mp4 |
| 概述 | Outlines agricultural economic models for small farmers.Creates AI software architectures and patterns to develop AI applications in agricultural economics.Provides comprehensive AI algorithms and tec |
| 叢書名稱 | International Series in Operations Research & Management Science |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | Agricultural Economics; Prognostics; Predictive Farm models; World Development Indicators; Mathematical |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-77485-1 |
| isbn_softcover | 978-3-030-77487-5 |
| isbn_ebook | 978-3-030-77485-1Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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