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Smart Agriculture and Data Science : Progress and Innovation in Intelligent Agriculture
https://aikoku-u.repo.nii.ac.jp/records/199
https://aikoku-u.repo.nii.ac.jp/records/199896843a1-94eb-4e0d-905d-c396a27a51f7
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
22.37-46 (924.7 kB)
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| Item type | [ELS]紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2021-05-18 | |||||
| タイトル | ||||||
| タイトル | Smart Agriculture and Data Science : Progress and Innovation in Intelligent Agriculture | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Smart Agriculture | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Date Science | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Big Date | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Date-driven agriculture | |||||
| 雑誌書誌ID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA1135787X | |||||
| 著者 |
日坂, 彰
× 日坂, 彰× 町田, 武美 |
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| 記事種別(日) | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 紀要論文 | |||||
| 記事種別(英) | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Departmental Bulletin Paper | |||||
| 抄録(英) | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | ICT-based Smart Agriculture is an innovative method of agriculture in which each phase, from production to marketing, is integrated and improved upon by taking advantage of existing knowledge and techniques in information and communication technology (ICT), as well as by creating and testing new ICT tools and frameworks within which such tools are implemented. The ultimate goal of the approach is to achieve low-input, sustainable agriculture comprised of high productivity, cost reduction and efficiency, and improvements in food and labor safety. Smart Agriculture is made possible by drawing upon both ICT and human wisdom. Fortunately, we live in an age in which platforms for highly advanced ICT systems are well-established and in which cloud computing environments and multifaceted analyses of Big Data are becoming more readily available. With ease of accessibility to technology and complex data, it is now possible for any of us to understand and implement Smart-Farming techniques. As such, high expectations exist for this powerful approach, and it is apparent that there is a significant need for ICT-based systematization of vast information and the creative development of algorithms for the production of biological systems. |
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| 書誌情報 |
愛国学園大学人間文化研究紀要 en : Human and Cultural Sciences ; The Journal of Aikoku Gakuen University 巻 22, p. 37-46, 発行日 2020-03 |
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| 表示順 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 5 | |||||
