湿度视觉:使用高光谱成像和机器学习快速非破坏性预测棉花种子的湿度
Hao Li1, Qiao Liu2, Zhiguo Han3
1College of Mechanical and Electrical Engineering, Shihezi University, ShiHezi 832003, China.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|January 30, 2026
概括
精确的棉花种子湿度预测使用机器学习和高光谱成像. 萨维茨基-戈莱-拉索-多重线性回归模型为种子质量评估提供了一个快速,非破坏性的解决方案.
科学领域:
- 农业科学 农业科学
- 频谱学是一种光谱学.
- 数据科学数据科学数据科学
背景情况:
- 精确的棉花种子水分含量对于种子的活力和储存至关重要.
- 目前的湿度测定方法可能耗时或破坏性.
- 发展快速,非破坏性的技术对于现代农业至关重要.
研究的目的:
- 开发一种机器学习 (ML) 和高光谱成像方法,用于预测棉花种子的水分含量.
- 为了比较传统的ML模型和深度学习 (DL) 模型对这个预测任务的性能.
- 确定最佳的模型和特征选择方法,以准确,非破坏性的湿度评估.
主要方法:
- 超光谱数据 (935-1720nm) 是从棉花种子 (cv. 吉肯 (Jinken 1161) 的意思是说,它可以在任何地方都吃.
- 数据预处理包括异常值去除 (隔离森林) 和光谱平滑 (Savitzky-Golay,标准正常变量).
- 构建和比较了部分最小方位回归,多重线性回归 (MLR),卷积神经网络和长短期记忆等模型,并使用连续投影算法和LASSO进行特征选择.
主要成果:
- 对于给定的样本大小,机器学习模型的表现优于深度学习模型.
- 萨维茨基-戈莱光滑与最小绝对收缩和选择操作员特征选择以及多重线性回归 (SG-LASSO-MLR) 模型相结合,表现出卓越的性能.
- 最优的SG-LASSO-MLR模型实现了0.9557的预测相关系数 (R2 p),0.908的RMSEP和4.77.7的RPD.
结论:
- SG-LASSO-MLR模型提供了一种可行且有效的方法,用于快速,非破坏性的检测棉花种子的水分含量.
- 超光谱成像与ML相结合,为种子内的空间湿度分布可视化提供了一个强大的工具.
- 这些发现支持智能作物监测和种子质量评估系统的进步.
更多相关视频
相关概念视频
Non-destructive Tests for Concrete Strength
535
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
535
Moisture Content and Bulking of Aggregate
463
The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
463
Seed Structure and Early Development of the Sporophyte
31.1K
Seed structures are composed of a protective seed coat surrounding a plant embryo, and a food store for the developing embryo. The embryo contains the precursor tissues for leaves, stem, and roots. The endosperm and cotyledons—seed leaves—act as the food reserves for the growing embryo.
31.1K
Predicting Molecular Geometry
45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Machines
578
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
A free-body diagram of the...
578
Machines: Problem Solving II
668
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
668


