关于生产和质量评价的决策支持系统:一个WebGIS仪表盘对准确农业的方法
Sudhanshu S Panda1, Aftab Siddique2, Thomas H Terrill2
1Institute for Environmental Spatial Analysis, University of North Georgia, Oakwood, GA, United States.
Frontiers in plant science
|August 1, 2025
概括
小规模农民现在可以使用新的特定地点料管理决策支持系统 (SSFM-DSS) 来优化料生产. 该系统整合了地理空间技术,以实现气候适应性和可持续的畜牧业.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 地理空间技术是什么
背景情况:
- 美国东南部的小规模农民因气候变化和土壤质量差而面临料生产的挑战.
- 对精准农业工具的有限访问阻碍了特定地点的管理策略.
- 需要适应气候变化的解决方案,以确保可持续的土地利用和畜牧业生产.
研究的目的:
- 开发和实施一个特定地点的料管理决策支持系统 (SSFM-DSS) 以优化sercea lespedeza的种植.
- 使用地理空间技术和预测建模创建一个自动化的适用性框架.
- 为农民提供可操作的,基于位置的指导,以实现可持续的料生产.
主要方法:
- 地理信息系统 (GIS),全球导航卫星系统 (GNSS) 和遥感的整合.
- 开发一个包含土壤,地形和气候数据的多标准适应性模型.
- 创建一个以农民为中心的WebGIS仪表板,以实时提供决策支持.
主要成果:
- 为阿拉巴马州,乔治亚州和南卡罗来纳州开发了一种用于sericea lespedeza种植的自动化适应性框架.
- 该SSFM-DSS提供了空间明确的建议,以优化料生产.
- WebGIS仪表板为农民提供实时,基于位置的指导.
结论:
- 该SSFM-DSS显示了提高料可用性和系统弹性的巨大潜力.
- 这种综合性方法促进了可持续的畜牧生产和气候智能农业.
- 该系统支持脆弱农业生态系统的粮食安全目标.
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