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Updated: May 13, 2025

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Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
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中国粮食安全综合评估数据集2012-202222年
1Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. weitongyang@caas.cn.
Scientific data
|April 14, 2025
概括
中国中国中国中国.
科学领域:
- 农业经济学 农业经济学
- 食品安全研究 食品安全研究
- 数据科学数据科学数据科学
背景情况:
- 中国在全球粮食安全中的关键作用受到新的发展模式的挑战.
- 现有的谷物统计数据是分散的,阻碍了全面的粮食安全评估.
研究的目的:
- 构建一个全面的数据集来评估中国的粮食安全.
- 为政策制定和学术研究提供可靠的数据.
主要方法:
- 开发了时间序列的中国粮食安全综合评估数据集 (CFSAD).
- 数据集涵盖谷物,大米,小麦,玉米和大豆.
- 纳入五个维度:基本担保,市场操作,科学/技术能力,资源/环境条件和购买力,有14个指标.
主要成果:
- "中国粮食安全报告"提供了对中国粮食安全的更科学,更全面的看法.
- 数据集整合了多个维度的多种指标,以进行全面的分析.
结论:
- CFSAD为有效的政府政策制定提供了必要的数据支持.
- 促进对中国粮食安全挑战和解决方案的先进学术研究.
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