RAMAN and Fluorimetric Scattering Lidar Facilitated to Detect Damaged Potatoes by Determination of Spectra

Abstract

The purpose of this study is to substantiate the concept of express assessment of potato tubers for mechanized harvesting using fluorimetric and RAMAN lidar, as well as to conduct a quantitative and structural assessment of damage to potato varieties and hybrids, using a device that simulates the process of operation of the combine separator, depending on the type of machine and harvesting conditions. In addition, calibration of the lidar was undertaken to assess the magnitude of the physical impact of the drum to assess the damage. A structural–functional diagram of a device for assessing the suitability of varieties and hybrids for mechanized harvesting has been developed. The methodology and results of this study are presented to determine the assessment of damage to potato tubers by a RAMAN lidar when fixing their force impact of the separating surface of the developed device on a potato tuber. The device developed in accordance with the proposed conceptual scheme, additionally calibrated taking into account modern potato harvesters and tested on a RAMAN lidar, will allow targeted selection of varieties suitable for mechanized harvesting, as well as assessing the degree of resistance of potato varieties to mechanized harvesting at early stages of selection and seed works.