通过基于无人机的超光谱成像来促进粮食安全:在精密农业和收获后管理中的应用
Debashish Kar1, Sambandh Bhusan Dhal2
1Texas A&M AgriLife Research, College Station, TX, 77843, USA.
Environmental monitoring and assessment
|February 12, 2025
概括
基于无人机的高光谱成像 (HSI) 通过改善作物监测和食品质量,为全球粮食安全提供先进的解决方案. 这项技术有助于早期压力检测,产量预测和收获后安全,尽管数据管理和可访问性挑战仍然存在.
科学领域:
- 农业科学 农业科学
- 遥感技术 遥感技术 遥感技术
- 食品科学 食品科学 食品科学
背景情况:
- 全球粮食安全受到人口增长,气候变化和资源短缺的威胁.
- 超光谱成像 (HSI) 为农业应用提供了详细的光谱数据.
- 无人机技术使HSI能够广泛有效地获取数据.
研究的目的:
- 审查基于无人机的HSI在精密农业和收获后管理中的应用.
- 突出HSI在提高作物生产率和食品质量方面的潜力.
- 确定在农业中采用HSI的挑战和未来方向.
主要方法:
- 对农业中基于无人机的高光谱成像现有文献的审查.
- 分析HSI在作物健康监测,疾病检测和资源管理中的应用.
- 检查HSI在收获后质量控制和食品安全中的使用.
主要成果:
- 基于无人机的HSI可以早期检测作物压力,准确预测产量和评估土壤健康状况.
- 高质量标准的应用扩展到监测食品的新鲜度,成熟度,检测污染物,提高食品安全和减少浪费.
- 观察到显著的好处,但数据管理和成本效益高的访问方面的挑战阻碍了广泛采用.
结论:
- 基于无人机的HSI是推进精准农业和确保粮食安全的强大工具.
- 克服数据处理和可访问性障碍对于最大限度地发挥HSI的影响至关重要.
- 需要未来的进步和合作来扩大HSI以实现可持续的全球粮食系统.
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