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- W2129577517 abstract "An automated NIR system was used over a two-month storage period to detect singlewheat kernels that contained live or dead internal rice weevils at various stages of growth. Correctclassification of sound kernels and kernels containing live pupae, large larvae, medium-sized larvae,and small larvae averaged 94, 92, 84, and 62%, respectively. Pupae + large larvae calibrations weredeveloped using live or dead internal insects. Validation results showed correct classificationsranging from 86 to 96% over the two-month storage period. Thus, wheat kernels containing eitherlive or dead insects can be used to develop calibrations for detecting both live and dead insects inwheat." @default.
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- W2129577517 date "2002-01-01" @default.
- W2129577517 modified "2023-10-18" @default.
- W2129577517 title "Detecting Single Wheat Kernels Containing Live or Dead Insects Using Near-Infrared Reflectance Spectroscopy" @default.
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- W2129577517 doi "https://doi.org/10.13031/2013.10449" @default.
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