Spectroscopic detection method for detecting lycopene content in agricultural product

A spectroscopic detection method for detecting a lycopene content in an agricultural product, wherein the spectroscopic detection method is realized by a plurality of spectrometers and a server, and each of the plurality of spectrometers comprises:

• a light source device, a convergence device, a chopping device, a filter device, a detection device, and a processing device,
• wherein the spectroscopic detection method comprises steps executed by the plurality of spectrometers:
• activating the light source device to generate light;
• providing the convergence device on an optical path of the light generated by the light source device to converge the light obtain converged light;
• controlling and driving the chopping device to adjust a frequency of the converged light to obtain detection light used for irradiating the agricultural product and having a modulation frequency;
• providing the filter device on an optical path of the detection light to shield light of a wavelength other than a preset wavelength in the detection light passing through the agricultural product to obtain characteristic light;
• controlling the detection device to receive the characteristic light and convert an optical signal of the characteristic light into an electrical signal;
• and
• controlling the processing device to generate spectroscopic analysis data according to the electrical signal output by the detection device and output a substance content analysis result according to the spectroscopic analysis data;
• wherein the preset wavelength of the filter device ranges from 400 nm to 5,000 nm;
• and
• the spectroscopic detection method comprises steps executed by the server:
• querying, in response to the substance content analysis result output by the processing device of one of the plurality of spectrometers, a modulation frequency and an analysis result in historical data of said one of the plurality of spectrometer;
• inputting modulation frequencies and analysis results corresponding to each of the last N sets of data in the historical data of said one of the plurality of spectrometers to a modulation frequency analysis model, such that the modulation frequency analysis model outputs a modulation frequency predicted value and a confidence corresponding to the modulation frequency predicted value;
• and
• determining whether the confidence corresponding to the modulation frequency predicted value is greater than or equal to a preset confidence threshold for determining whether the modulation frequency predicted value is used, if yes, feeding the modulation frequency predicted value back to said one of the plurality of spectrometers as the modulation frequency for controlling and driving the chopping device to adjust the frequency of the converged light, and if no, not using the modulation frequency predicted value;
• wherein N is a positive integer, and the modulation frequency analysis model is trained by taking modulation frequencies and analysis results in historical data of the plurality of spectrometers as training data.