Wang Jiaying, Sun Laijun, Feng Guojun, Bai Hongyi, Yang Jun, Gai Zhaodong, Zhao Zhide, Zhang Guanghui
School of Electronic Engineering (Heilongjiang University), Harbin, Heilongjiang, China.
College of Modern Agriculture and Ecological Environment (Heilongjiang University), Harbin, Heilongjiang, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Jul 5;275:121169. doi: 10.1016/j.saa.2022.121169. Epub 2022 Mar 16.
As a common problem in snap beans, hard seed has seriously affected the large-scale industrial planting and yield of snap bean. To realize accurate, quick and non-destructive identifying the hard seeds of snap bean is of great significance to avoiding the effects of hard seeds on germination and growth. This research was based on hyperspectral imaging (HSI) to achieve accurate detection of hard seeds of snap bean. This study obtained the characteristic spectra from the hyperspectral image of a single seed, and then combined the synthetic minority over-sampling technique (SMOTE) and Tomek links to balance the numbers of hard and non-hard seed samples. The characteristic wavelengths were extracted from the average spectrum. Then the average spectrum was processed by first derivative (1D). After that, the characteristic wavelengths could be extracted using successive projections algorithm (SPA). Finally, a radial basis function-support vector machine (RBF-SVM) model was established to realize the intelligent detection of hard seeds, and the detection accuracy rate reached 89.32%. The research results showed that HSI technology could achieved accurate, fast and non-destructive testing of the hard seeds of snap bean, which is of great significance to the large-scale and standardized planting of snap bean and increase the yield per unit area.
作为菜豆中的一个常见问题，硬实种子严重影响了菜豆的规模化产业种植和产量。实现对菜豆硬实种子的准确、快速且无损识别，对于避免硬实种子对发芽和生长的影响具有重要意义。本研究基于高光谱成像（HSI）实现对菜豆硬实种子的准确检测。本研究从单粒种子的高光谱图像中获取特征光谱，然后结合合成少数过采样技术（SMOTE）和Tomek链接来平衡硬实种子和非硬实种子样本数量。从平均光谱中提取特征波长。然后对平均光谱进行一阶导数（1D）处理。之后，可使用连续投影算法（SPA）提取特征波长。最后，建立径向基函数支持向量机（RBF-SVM）模型以实现硬实种子的智能检测，检测准确率达到89.32%。研究结果表明，HSI技术能够实现对菜豆硬实种子的准确、快速且无损检测，这对于菜豆的规模化、标准化种植以及提高单位面积产量具有重要意义。
