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使用智能传感器精准农业:现状,挑战和未来展望
Bonface O Manono1, Boniface Mwami2,3, Sylvester Mutavi4
1Colorado State University Extension, Fort Collins, CO 80523, USA.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
智能传感器技术正在通过与物联网 (IoT) 和人工智能 (AI) 进行整合来彻底改变精密农业,以实现优化产量和资源节约. 应对校准和数据隐私等挑战是它们在全球粮食安全中的关键作用.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 计算机科学 计算机科学
背景情况:
- 由于人口增长和环境压力,传统农业难以满足全球粮食需求.
- 精准农业通过整合先进技术来提供解决方案,以加强决策,优化产量和节约资源.
- 智能传感器技术是精准农业的基础,提供有关土壤,植物和环境条件的实时数据.
研究的目的:
- 审查精准农业中智能传感器技术的现状,挑战和未来前景.
- 探索整合智能传感器与物联网 (IoT) 和人工智能 (AI) 在农业中的变革性影响.
- 要突出这些技术如何优化产量,节约资源,提高整体农场效率.
主要方法:
- 对精准农业中智能传感器技术的现有文献和研究进行审查.
- 分析智能传感器与物联网和人工智能平台的集成.
- 检查各种传感器类型,它们的应用,以及农业数据采集中的新兴创新.
主要成果:
- 与物联网和人工智能集成的智能传感器显著提高了农业数据的收集,分析和利用.
- 这种整合带来了优化作物产量,有效的资源管理 (水,肥料) 和提高农场生产率.
- 各种智能传感器类型应用于农业的不同方面,从土壤监测到作物健康评估.
结论:
- 智能传感器技术对于推进精准农业和应对全球粮食安全挑战至关重要.
- 在传感器技术和数据分析方面的持续创新有望进一步改善农业实践.
- 克服诸如传感器校准,数据隐私,互操作性和采用障碍等挑战对于广泛实施至关重要.
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