Agriculture transformation through Big Data and smart farming

V. Praveen Rao; V. Anitha

首页> 外文期刊>International Journal of Innovative Horticulture >Agriculture transformation through Big Data and smart farming

【24h】

Agriculture transformation through Big Data and smart farming

机译：通过大数据和智慧农业实现农业转型

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Big Data is changing the scope and organization of farming through a pull-push mechanism. Like in all other sectors, agri-food sector too needs to initiate new thinking infusing dynamism, for example, ‘dynamic resource allocation’ framework. This data-driven concept offers to provide realtime support for managing the scarce resources, climate change and supply chain disruptions with better revenues. These issues make that the scope of Big Data applications extends far beyond farming alone, but covers the entire supply chain.

机译：大数据改变的范围和组织农业通过pull-push机制。所有其他部门,农产品行业也需要发起新思维注入活力例子中,动态资源分配的框架。这提供了提供了数据驱动的概念实时支持管理稀缺资源、气候变化和供应链中断有更好的收入。大数据应用的范围远远超过农业,但涵盖了整个供应链。

著录项

来源
《International Journal of Innovative Horticulture》 |2021年第2期|130-137|共8页
作者
V. Praveen Rao; V. Anitha;
展开▼
作者单位

Jayashankar Telangana State Agricultural University, Telangana, India;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类园艺;
关键词
Agribusiness; Big data; Smart farming; Startups;

机译：农业综合企业;大数据;智慧农业;创业;

相似文献

外文文献
中文文献
专利

1. Linear Panel Data and Farming Cash Flow Analyses to Assess the Causes of Deforestation in the Upper Guinean Forest: Data and Evidence from the Prefectures of the Central Region in Togo [J] . Koffi Ayewa Bassan, Erin O. Sills, Kouami Kokou 自然资源（英文） . 2020,第003期
2. Cultivating New Agricultural Operators to Promote the Transformation and Upgrading of Traditional Agriculture--A Case Study of Nanchong City [J] . Hui LI, Wanqiu WANG, Changjia PENG, 亚洲农业研究：英文版 . 2019,第002期
3. Studies from China Agricultural University Further Understanding of Field Crops (Goals, Key Technologies, and Regional Models of Smart Farming for Field Crops in China) [J] . Network Daily News . 2023,第9期

机译：Studies from China Agricultural University Further Understanding of Field Crops (Goals, Key Technologies, and Regional Models of Smart Farming for Field Crops in China)
4. Vertical farming-smart urban agriculture for enhancing resilience and sustainability in food security [J] . Oh Soojin, Lu Chungui The Journal of Horticultural Science & Biotechnology . 2023,第2期

机译：Vertical farming-smart urban agriculture for enhancing resilience and sustainability in food security
5. A review of smart agriculture and production practices in Japanese large-scale rice farming [J] . Li Dongpo, Nanseki Teruaki, Chomei YosukeKuang Jinsong Journal of the Science of Food and Agriculture . 2023,第4期

机译：A review of smart agriculture and production practices in Japanese large-scale rice farming
6. NIST Smart Data Flow System II 驴 Speaker Localization [C] . Fillinger Antoine, Diduch Lukas, Hamchi Imad, . -1

机译：NIST Smart Data Flow System II驴扬声器定位
7. Advances in Applied Agricultural and Experimental Economics =农业与实验经济学的实证研究进展 [D] . Li, Hao. 2020

机译：Advances in Applied Agricultural and Experimental Economics =农业与实验经济学的实证研究进展
8. Total Energy Intake and Intake of Three Major Nutrients by Body Mass Index in Japan: NIPPON DATA80 and NIPPON DATA90 [O] . Katsushi Yoshita, Yusuke Arai, Miho Nozue, 2010

机译：日本的人体总质量指数和三种主要营养素的总能量摄入量：NIPPON DATA80和NIPPON DATA90
9. Assessing spatiotemporal variation of drought in China and its impact on agriculture during 1982-2011 by using PDSI indices and agriculture drought survey data [O] . Yan H., Wang, S. Q., Wang, J. B., 2016

机译：assessing spatiotemporal variation of drought in China and its impact on agriculture during 1982-2011 by using pDsI indices and agriculture drought survey data
10. Test Results for Digital Data Acquisition Tool: ASR Data SMART Version 2010-11-03. [R] . 2012

机译：数字数据采集工具的测试结果：asR Data smaRT Version 2010-11-03。

Agriculture transformation through Big Data and smart farming

摘要

著录项

相似文献

相关主题

期刊订阅