Design and experiment of a handheld non-destructive detection device for potato dry matter content
In response to the demand for quality inspection of potatoes,a handheld non-destructive detection device for potato dry matter was developed.The hardware components of the device included a spectrum acquisition module,a circuit control module,a control and display module,device housing module.The design of the device was gun-shaped with dimensions of 180 mm × 85 mm×210 mm.The device utilized visible-near infrared diffuse reflectance spectroscopy,comparing pre-processing methods such as Savitzky-Golay convolution smoothing(SM),first-order de-rivative(FD),multiple scattering correction(MSC),and standard normal variate transformation(SNV),with SM yielding better results.Competitive adaptive reweighted sampling(CARS)was used to select 27 feature wavelengths to establish a support vector regression(SVR)prediction model for potato dry matter content,with validation set co-efficient of determination and root mean square error of 0.802 and 0.98％,respectively.The device software was de-veloped using the QT development tool,including modules for black and white calibration and measurement,power display,spectral data display,data storage,spectral data refresh,and detection result display.Device verification was conducted,showing a prediction root mean square error of 1.01％and an average time consumption of 0.62 s per measurement.The results indicated that the handheld non-destructive detection device for potato dry matter could rapidly and accurately detect dry matter content,demonstrating potential for application at the source and processing sites of potato production.
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