The high quality of seed cleaning is one of the factors in increasing the yield of agricultural crops. To improve its quality, it is important to estimate average size of seeds for adjusting their feeding method into analysis zone of the optical seeds sorter (the color sorter). Optical methods for average seed size measuring have a significant drawback, which consists in usage of video camera, which lens must be periodically cleaned from settling dust. An alternative method for estimating size of crop seeds is the use of millimeter-wave radar. To assess the geometric characteristics of seeds, it is proposed to use adapted algorithms for sea surface remote sensing. The possibility of applying remote sensing algorithms to the seed layer is justified due to the similarity of geometric structure of the seed layer with a quasi-periodic surface, which is the sea surface. This article discusses an approach for seeds layer spatial model obtaining. The description of backscattered radar signal model is given. We carried out the modeling data analysis and a comparison of estimated average seed size with the geometric characteristics of the layer for different crops. Obtained model results allow us to conclude about the applicability of remote sensing algorithms for geometric characteristics of seeds estimation. Usage of radar data acquisition methods allows to use the available in market mmWave solutions to reduce the cost of measuring equipment for geometric characteristics of seeds for various crops.
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