Rapid and Non-Destructive Prediction of Moisture Content in Maize Seeds Using Hyperspectral Imaging
Hang Xue,
Xiping Xu,
Yang Yang
et al.
Abstract:The moisture content of corn seeds is a crucial indicator for evaluating seed quality and is also a fundamental aspect of grain testing. In this experiment, 80 corn samples of various varieties were selected and their moisture content was determined using the direct drying method. The hyperspectral imaging system was employed to capture the spectral images of corn seeds within the wavelength range of 1100–2498 nm. By utilizing seven preprocessing techniques, including moving average, S–G smoothing, baseline, n… Show more
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