| CPC A01C 1/00 (2013.01) [B07C 5/3422 (2013.01); B07C 5/3425 (2013.01); G05B 13/027 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06T 7/001 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30188 (2013.01)] | 12 Claims |

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1. A system for generating a container comprising a plurality of seeds, comprising: at least one processor executing a code for:
inputting into at least one neural network, at least one image depicting a set of input seeds which have statistically similar extractable at least one visual feature,
wherein the at least one visual feature extracted from an image of one of the set of input seeds is statistically similar to corresponding at least one visual feature extracted from another image of another seed of the set of input seeds,
obtaining from the at least one neural network, for each of the set of input seeds, an indication of one classification category for which visual features are not explicitly defined, selected from the group consisting of: stress resistant, and non-stress resistant,
generating instructions for sorting input seeds classified as stress resistant into the container; and
an automated sorting device that automatically sorts the set of input seeds by executing the instructions generated by the at least one processor into the container comprising a plurality of seeds, wherein at least 90% of the seeds are stress-resistant seeds.
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