一个十年的农场数据,关于墨西哥改善的谷物和豆类作物种植
Andrea Gardeazábal-Monsalve1, José Alberto Cabello Cortés2, Simon Fonteyne2
1International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco, Mexico. a.gardeazabal@cgiar.org.
Scientific data
|November 28, 2025
概括
十年来墨西哥农业数据提供了对作物产量和成本的洞察力. 这一数据集支持开发玉米,豆类,小麦,和大麦的可持续农业实践.
科学领域:
- 农业科学 农业科学
- 农业学是一种农业学.
- 数据科学数据科学数据科学
背景情况:
- 在墨西哥各地,在十年内 (2012-2022) 收集了全面的农学数据集.
- 数据由扩展代理人使用数字日志平台 (BEM,后来e-Agrology) 收集.
- 数据集包括创新,控制和可持续实践图表.
研究的目的:
- 为分析农业生产力和可持续性提供长达十年的农业学数据集.
- 为研究人员,推广服务和政策制定者提供有价值的资源.
- 促进优化农业学建议和可持续强化战略的制定.
主要方法:
- 通过统一的数字日志平台收集数据.
- 多个阶段的数据清理和验证过程.
- 包括关键变量:作物管理,资源使用,成本,价格和多种作物的产量.
主要成果:
- 该数据集包括69,008个日志,涵盖了各种管理场景.
- 包括各种农业生态和农场规模的玉米,豆类,小麦,和大麦的数据.
- 能够分析长期的生产力,成本效益和输入-输出效率.
结论:
- 这一开放式数据集提供了协调的现场数据,用于进行可靠的农业分析.
- 有助于了解不同管理实践下的作物表现.
- 支持基于证据的决策,为可持续农业和政策制定提供支持.
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