2022
DOI: 10.1590/fst.32822
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Prediction of peanut seed vigor based on hyperspectral images

Abstract: Prediction of seed vigor based on hyperspectral peant. The traditional method is time-consuming and laborious to detect seed vigor. At the same time, the accuracy of the detection result is not high, and it will cause damage to the seed itself. Therefore, in order to achieve rapid and non-destructive detection of peanut seed vigor, the test was performed with original health, artificial aging for 24h and Peanut seeds with different vigor gradients at 72 hours were used as the research samples. Hyperspectral im… Show more

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Cited by 8 publications
(10 citation statements)
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“…Before placing the seeds, the containers were thoroughly cleaned with a 15% sodium hypochlorite solution to prevent fungal contamination. The incubator was set to maintain a relative humidity of 85% and a temperature of 50 • C. At 24 h intervals, one-third of the samples were removed from the incubator, resulting in three different aging periods for the seeds [35].…”
Section: Seed Selection and Aging Treatmentmentioning
confidence: 99%
“…Before placing the seeds, the containers were thoroughly cleaned with a 15% sodium hypochlorite solution to prevent fungal contamination. The incubator was set to maintain a relative humidity of 85% and a temperature of 50 • C. At 24 h intervals, one-third of the samples were removed from the incubator, resulting in three different aging periods for the seeds [35].…”
Section: Seed Selection and Aging Treatmentmentioning
confidence: 99%
“…Meanwhile, hyperspectral images are highly correlated between adjacent wavebands, which leads to collinearity and redundancy problems. Optimal wavelength selection algorithm needed to be used to solve the former problem, in order to shorten the time of building prediction models, reduce the dimension of spectral data and promote the performance of prediction models (Zou et al, 2022a(Zou et al, , 2022b.…”
Section: Optimal Wavelength Selectionmentioning
confidence: 99%
“…Mesa & Chiang (2021) used hyperspectral imaging technology combined with RGB to classify bananas (Mesa & Chiang, 2021). Zou et al (2022) used hyperspectral nondestructive testing technology to predict peanut seed vigor with high accuracy (Zou et al, 2022). Chen et al (2022) used hyperspectral technology combined with the inversion model of LS-SVM to achieve rapid online monitoring of soybean breakage rate by combine harvesters (Chen et al, 2022).…”
Section: Identification Of Peanut Storage Period Based On Hyperspectr...mentioning
confidence: 99%