在VIS-NIR中的多光谱摄像头配备了热成像和环境传感器,用于精密农业中的非侵入性分析
Dumitru Scutelnic1, Riccardo Muradore2, Claudia Daffara1
1Department of Computer Science, University of Verona, Italy.
HardwareX
|December 17, 2024
概括
研究人员开发了一种低成本的模块化多谱成像系统,用于精密农业. 这种创新解决方案将光学和热成像与环境传感器集成在一起,以评估植物健康并为单个植物提供高质量的数据.
科学领域:
- 农业科学 农业科学
- 遥感技术 遥感技术 遥感技术
- 光学工程是指光学工程.
背景情况:
- 多光谱成像 (MSI) 对于包括精密农业在内的各种领域的物质属性检查至关重要.
- 现有的MSI解决方案用于农业,通常用于大面积的无人机,目前正在进行的研究重点是优化性能和成本.
- 需要先进的MSI系统,能够对单个工厂进行详细,近距离的分析.
研究的目的:
- 实施一个创新的,模块化的,低成本的多光谱摄像系统,用于精密农业应用.
- 将光学 (VIS-NIR) 和热 (LWIR) 成像功能与环境传感集成.
- 在实验室和开放场地条件下验证系统的性能.
主要方法:
- 开发一个模块化MSI系统,使用旋转轮与可互换带通波器用于光学和热成像.
- 集成环境传感器来测量二氧化碳度,光强度,温度和相对湿度.
- 在受控的实验室和现实世界的现场环境中对技术和测量协议进行实验验证.
主要成果:
- 开发的系统在近距离设置中提供反射率 (VIS-NIR) 和热 (LWIR) 波段的集成成像.
- 该系统成功获取了植物的光谱特征,从而能够计算植被指数 (例如,NDVI,NDRE) 用于健康评估.
- 环境传感器数据为植物监测提供了额外的背景,补充了温度和光谱分析.
结论:
- 创新的MSI系统为精密农业提供了具有成本效益和多功能性的解决方案.
- 集成的光学,热量和环境数据采集提高了在单一植物层面监测植物健康的能力.
- 这项技术可以通过实现高质量的数据集获取来应对精准农业中新出现的挑战.
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