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In this work, we evaluate the capabilities of a portable smartphone-based laser speckle imager for grading seeds based on the extent of biological activity related to germination inside seeds. The portable illumination device is attached to the rear side of a smartphone and externally controlled via USB port. Both RGB and laser speckle image sequences are simultaneously acquired through smartphone cameras for further processing. A custom image processing algorithm is used to generate the final spatio-temporal activity map. Our approach enables better grading of seeds prior to cultivation thereby potentially improving crop yields.
Puneet Singh Thakur,Renju P.B.,Parama Pal, andMayank Paswan
"A smartphone-based platform to grade seeds based on biological activity", Proc. SPIE PC12879, Photonic Technologies in Plant and Agricultural Science, PC1287902 (13 March 2024); https://doi.org/10.1117/12.3003636
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Puneet Singh Thakur, Renju P.B., Parama Pal, Mayank Paswan, "A smartphone-based platform to grade seeds based on biological activity," Proc. SPIE PC12879, Photonic Technologies in Plant and Agricultural Science, PC1287902 (13 March 2024); https://doi.org/10.1117/12.3003636