Abstract: An automated method for operating an automated seed sampling system having a seed loading station, a seed transport subsystem, and a seed sampling station generally includes sensing whether individual seeds are successfully isolated from a bulk of seeds at the seed loading station, and sensing whether the isolated seeds are properly positioned by the seed transport subsystem adjacent the seed sampling station in preparation for removing tissue from the isolated 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.

Abstract: A system for determining performance data of plants growing in a field. The system comprises a mass flow meter for generating mass data related to the mass of plant product passed through the mass flow meter, and that is communicatively connected to a computer based data processing system; a temperature sensor for determining the temperature of the air adjacent the mass flow meter or within the mass flow meter, and that communicatively connected to the computer based data processing system, and a moisture sensor for determining the moisture of air adjacent the mass flow meter or within the mass flow meter, and that is communicatively connected to the computer based data processing system. The computer based data processing system is structured and operable to utilize the mass data, the air temperature and the air moisture to determine a yield of the plants from which the plant product was harvested.

Abstract: A system for determining performance data of plants growing in a field. The system comprises a mass flow meter for generating mass data related to the mass of plant product passed through the mass flow meter, and that is communicatively connected to a computer based data processing system; a temperature sensor for determining the temperature of the air adjacent the mass flow meter or within the mass flow meter, and that communicatively connected to the computer based data processing system, and a moisture sensor for determining the moisture of air adjacent the mass flow meter or within the mass flow meter, and that is communicatively connected to the computer based data processing system. The computer based data processing system is structured and operable to utilize the mass data, the air temperature and the air moisture to determine a yield of the plants from which the plant product was harvested.

Abstract: An automated method for operating an automated seed sampling system having a seed loading station, a seed transport subsystem, and a seed sampling station generally includes sensing whether individual seeds are successfully isolated from a bulk of seeds at the seed loading station, and sensing whether the isolated seeds are properly positioned by the seed transport subsystem adjacent the seed sampling station in preparation for removing tissue from the isolated 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.

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.

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 position 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.

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 position 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: 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.

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.

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.

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: 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: A small object packaging system including a small object container marking and loading station configured to singulate a plurality of small object containers, mark each with at least one information label, and load each marked container into a respective one of a plurality of container transport pallets. The system additionally includes at least one small object counting station configured to deposit a specified amount of small objects into each marked container. The system further includes a capping station configured to secure a cap onto a marked container. The system includes an offloading station configured to remove the loaded containers and place them into a container packing case.

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.

Abstract: An automated system for sampling seeds includes a seed loading station for separating individual seeds from a plurality of seeds held in a seed hopper, an imaging station configured to receive the separated seeds from the seed loading station and collect image data of the received seeds, and a seed sampling subsystem configured to remove tissue samples from the seeds after the image data of the seeds is collected. And, an automated method for sampling seeds includes separating individual seeds from a plurality of seeds, imaging the separated seeds, and removing tissue samples from the imaged seeds.

Abstract: An automated system for sampling seeds includes a seed loading station for separating individual seeds from a plurality of seeds held in a seed hopper, an imaging station configured to receive the separated seeds from the seed loading station and collect image data of the received seeds, and a seed sampling subsystem configured to remove tissue samples from the seeds after the image data of the seeds is collected. And, an automated method for sampling seeds includes separating individual seeds from a plurality of seeds, imaging the separated seeds, and removing tissue samples from the imaged seeds.

Abstract: A seed sampling system includes a seed transport configured to hold multiple individual seeds together as a group and transport the multiple individual seeds together as the group, and to allow the multiple individual seeds to be oriented, substantially simultaneously, while the multiple individual seeds are being held in the seed transport. The seed sampling system also includes a seed sampling subsystem configured to remove tissue from the oriented multiple individual seeds. And, a method for removing tissue from the multiple individual seeds includes loading the multiple individual seeds in the seed transport, orienting the multiple individual seeds in the seed transport substantially simultaneously, and removing tissue from the oriented multiple individual seeds.

Abstract: A seed sampling system includes a seed transport configured to hold multiple individual seeds together as a group and transport the multiple individual seeds together as the group, and to allow the multiple individual seeds to be oriented, substantially simultaneously, while the multiple individual seeds are being held in the seed transport. The seed sampling system also includes a seed sampling subsystem configured to remove tissue from the oriented multiple individual seeds. And, a method for removing tissue from the multiple individual seeds includes loading the multiple individual seeds in the seed transport, orienting the multiple individual seeds in the seed transport substantially simultaneously, and removing tissue from the oriented multiple individual seeds.