期刊
SENSORS
卷 18, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/s18041010
关键词
FT-NIR spectroscopy; supersweet corn; seed quality; nondestructive; single kernel; viability; discriminant analysis
资金
- National Science and Technology Support Program of China [215BAD18B0301]
- Guangdong Province
- Science and Technology Program of Guangdong Province [2017B020206005]
- Science and Technology Program of Guangzhou [201704020067]
- South China Agricultural University
The viability and vigor of crop seeds are crucial indicators for evaluating seed quality, and high-quality seeds can increase agricultural yield. The conventional methods for assessing seed viability are time consuming, destructive, and labor intensive. Therefore, a rapid and nondestructive technique for testing seed viability has great potential benefits for agriculture. In this study, single-kernel Fourier transform near-infrared (FT-NIR) spectroscopy with a wavelength range of 1000-2500 nm was used to distinguish viable and nonviable supersweet corn seeds. Various preprocessing algorithms coupled with partial least squares discriminant analysis (PLS-DA) were implemented to test the performance of classification models. The FT-NIR spectroscopy technique successfully differentiated viable seeds from seeds that were nonviable due to overheating or artificial aging. Correct classification rates for both heat-damaged kernels and artificially aged kernels reached 98.0%. The comprehensive model could also attain an accuracy of 98.7% when combining heat-damaged samples and artificially aged samples into one category. Overall, the FT-NIR technique with multivariate data analysis methods showed great potential capacity in rapidly and nondestructively detecting seed viability in supersweet corn.
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