Abstract:
A seed sampling system is provided having an automated seed loading assembly including a seed bin and being operable to singulate seeds from a plurality of seeds within the seed bin. The system also includes an automated seed sampling assembly operable to remove tissue samples from the singulated seeds, and an automated seed transport assembly operable to transfer the singulated seeds from the seed loading assembly to the seed sampling assembly. The seed transport assembly includes multiple retention members. Each of the retention members is movable relative to the seed loading assembly and to the seed sampling assembly. The seed transport assembly is operable to position one of the multiple retention members adjacent to the seed loading assembly for engaging one of the singulated seeds, while positioning another of the retention members adjacent to the seed sampling assembly for presenting another of the singulated seeds to the seed sampling assembly.
Abstract:
The present disclosure provides systems and methods for counting a plurality of objects and parsing the objects into groups of varying quantities. In various embodiments, the system includes a singulating and counting module operable to singulate and count a plurality of objects from a large volume of the objects. Additionally, the system includes a diverter and accumulator module operable to receive the singulated objects, parse the objects into groups of varying quantities, and direct each group into a selected one of a plurality of discharge funnels. Furthermore, the system includes an object collection module operable to sequentially position each one of a plurality of object collection receptacles adjacent the discharge funnels such that each group of objects is deposited into a respective corresponding one of the object collection receptacles.
Abstract:
An automated method for analyzing seeds generally includes collecting image data from individual seeds using a seed sampling system, determining at least one characteristic of each of the individual seeds based on the collected image data, and removing tissue from each of the individual seeds using the seed sampling system. The method also includes, prior to removing the tissue sample from each of the individual seeds, adjusting at least one operational parameter of the seed sampling system based on the at least one characteristic of the seed from which the tissue is to be removed to thereby allow for generally consistent removal of tissue from each of the individual seeds. In some aspects, the method further includes analyzing the tissue removed from the seeds for presence or absence of at least one characteristic, and selecting seeds based on presence or absence of the at least one characteristic.