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 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: 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: A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.

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: A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.

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: A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.

Abstract: A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.

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: Systems and methods are provided for evaluating and sorting seeds based on characteristics of the seeds. One method generally includes collecting image data from different parts of the seeds, and then analyzing the collected image data to determine if the seeds exhibit at least one or more characteristics. The seeds can then be sorted to desired seed repositories based on whether or not the seeds exhibit the at least one or more characteristics.

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: Systems and methods are provided for evaluating and sorting seeds based on characteristics of the seeds. One system includes an imaging and analysis subsystem that collects image data from the seeds and analyzes the collected image data for characteristics of the seeds. This subsystem can include an imaging theater having mirrors that reflect image data from the seeds to an imaging device for collection. The system can also include an off-loading and sorting subsystem configured to sort the seeds based on their characteristics. And, one method includes illuminating the seeds and collecting image data from the seeds for determining their characteristics. The image data can be collected from at least three portions of the seeds at each of a plurality of sequentially changing spectral wavelengths. In addition (or alternatively), the image data can be collected from top and bottom portions of the seeds using a single imaging device.

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: Systems and methods are provided for evaluating and sorting seeds based on characteristics of the seeds. One system includes an imaging and analysis subsystem that collects image data from the seeds and analyzes the collected image data for characteristics of the seeds. This subsystem can include an imaging theater having minors that reflect image data from the seeds to an imaging device for collection. The system can also include an off-loading and sorting subsystem configured to sort the seeds based on their characteristics. And, one method includes illuminating the seeds and collecting image data from the seeds for determining their characteristics. The image data can be collected from at least three portions of the seeds at each of a plurality of sequentially changing spectral wavelengths. In addition (or alternatively), the image data can be collected from top and bottom portions of the seeds using a single imaging device.

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: The present disclosure provides systems and methods for sorting seeds based on identified phenotypes of the seeds. In various embodiments, the system includes an optics and controller station structured and operable to collect image data of a top portion, a bottom portion and a plurality of side portions of each respective seed in a set of seeds, and to analyze the collected image data to determine whether each seed exhibits a desired phenotype. The system further includes a seed loading, transporting and sorting station structured and operable to singulate each seed of the set of seeds from a plurality of seeds in a bulk seed hopper, transport the set of seeds to the optics and controller station, and selectively sort each seed to a respective one of a plurality of seed repositories based on whether each respective seed exhibits the desired phenotype.

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.