Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
UDC 631.527.5
UDC 519.2
Within a series of studies on optical seed detection, the application of the PROC GLM (General Linear Models) procedure for the statistical processing of data obtained from combined sorting of spinach seeds by size and chlorophyll fluorescence level is considered. The limitations of the method are discussed, including the necessity of thorough data preparation and interpretation of factor interactions. The results demonstrate the potential of PROC GLM for optimising automated seed sorting processes and improving the quality of seed material.
optical seed detection, PROC GLM (General Linear Models), combined sorting, statistical data analysis, seed quality, Scots pine (Pinus sylvestris L.)
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5. Deep-learning approach for Fusarium head blight detection in wheat seeds using low-cost imaging technology / R. C. Bernardes, A. de Medeiros, L. da Silva, L. Cantoni, G. F. Martins, T. Mastrangelo, A. I. Novikov, C. B. Mastrangelo // Agriculture. – 2022. – Vol. 12, No. 11. – P. 1801. DOI: https://doi.org/10.3390/agriculture12111801
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