| 书目名称 | Digital Ecosystem for Innovation in Agriculture | | 编辑 | Sanjay Chaudhary,Chandrashekhar M. Biradar,Mehul S | | 视频video | | | 概述 | Binds the state-of-the-art use of data science concepts and applications.Provides detailed insight to undertake large-scale projects dealing with digital agriculture.Brings together a group of top sch | | 丛书名称 | Studies in Big Data | | 图书封面 |  | | 描述 | This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources. | | 出版日期 | Book 2023 | | 关键词 | Digital Transformation; Digital Agriculture; Machine Learning; Deep Learning; Agriculture Transformation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-0577-5 | | isbn_softcover | 978-981-99-0579-9 | | isbn_ebook | 978-981-99-0577-5Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 19:16:18
