土壤光谱进化:对自制传感器,台式系统和移动仪器的审查,与机器学习算法相结合,用于准确农业的土壤诊断
Reda Mokere1, Mohamed Ghassan1, Issam Barra1
1Center of Excellence in Soil and Fertilizer Research in Africa CESFRA, College of Agriculture and Environmental Sciences CAES, Mohammed VI Polytechnic University, Benguerir, Morocco.
Critical reviews in analytical chemistry
|May 14, 2024
概括
土壤光谱仪提供快速,非破坏性的土壤分析. 本综述比较了用于精密农业的自制传感器,移动和台式仪器,突出了便携式解决方案的进步.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 遥感 遥感 遥感 遥感
背景情况:
- 土壤光谱对于精密农业至关重要,它提供快速,低成本和非破坏性的土壤分析.
- 不同的仪器配置 (自制传感器,桌面,移动) 收集光谱数据.
- 校准算法,如部分最小平方回归 (PLSR),主要组件回归 (PCR) 和支持矢量机 (SVM) 模型光谱数据.
研究的目的:
- 在土壤光谱学中审查和比较自制传感器,移动光谱仪和传统台面仪器的性能,准确性,精度和适用性.
- 评估自制土壤光谱传感器的技术进步.
- 探索开发负担得起和高效的土壤光谱仪器的创新方法.
主要方法:
- 对土壤光谱仪器的现有文献进行比较分析.
- 在不同类型的传感器中评估性能指标 (准确性,精度).
- 讨论校准算法和数据优化技术.
主要成果:
- 自制和移动光谱仪由于成本效益和便携性而越来越受欢迎.
- 技术进步正在增强便携式土壤光谱解决方案的功能.
- 台式光谱仪提供高精度,但便携性较差.
结论:
- 土壤光谱学,特别是随着自制和移动传感器的进步,正在改变精准农业中的土壤分析.
- 便携式和具有成本效益的解决方案越来越适用于广泛的土壤诊断.
- 传感器技术和校准算法的持续创新将进一步增强土壤光谱应用.
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