Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery that includes acquiring a digital image of the one or more kernels of the ear of maize without the use of spatial reference points, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize. The method includes using one or more such digital images to estimate yield on a plant, management zone, field, county and country level.

Abstract: A system for automated high throughput presentation of an ear of corn for image acquisition and evaluation is provided. The ear evaluation system may include an image acquisition system for acquiring an image of the ear of corn. An ear staging system may be configured for coordinating timing and movement of the ear of corn through the image acquisition system. The ear evaluation system may define a mobile structure. Thereby the mobile structure may be driven or towed over rows of corn in order to acquire images of the corn substantially simultaneously with picking the ears of corn. Accordingly, image data relating to ears of corn may be obtained in a rapid manner. A method for high throughput presentation of a plurality of ears of corn for image acquisition and evaluation is also provided.

Abstract: A method of evaluating one or more kernels of an ear of maize using digital imagery includes acquiring a digital image of the one or more kernels of the ear of maize, processing the digital image to estimate at least one physical property of the one or more kernels of the ear of maize from the digital image, and evaluating the at least one kernel of maize using the estimate of the at least one physical property of the at least one kernel of maize.

Abstract: A system for automated high throughput presentation of an ear of corn for image acquisition and evaluation is provided. The ear evaluation system may include an image acquisition system for acquiring an image of the ear of corn. An ear staging system may be configured for coordinating timing and movement of the ear of corn through the image acquisition system. The ear evaluation system may define a mobile structure. Thereby the mobile structure may be driven or towed over rows of corn in order to acquire images of the corn substantially simultaneously with picking the ears of corn. Accordingly, image data relating to ears of corn may be obtained in a rapid manner. A method for high throughput presentation of a plurality of ears of corn for image acquisition and evaluation is also provided.

Abstract: Apparatus and systems for relatively high throughput counting of elongated strands including silks of a plant are disclosed. One apparatus or system includes segregating similar sized pieces of silks from a section of the plant's silk brush using a tool adapted to obtain uniform samples and system quantitatively counting the pieces by automation. The automated system can be a digital image of the pieces distributed across or above a surface, and image analysis to derive a count of individual pieces. An alternative automated system moves the pieces sequentially and substantially singulated past a detector.

Abstract: Methods for relatively high throughput counting of elongated strands including silks of a plant. One method includes segregating similar sized pieces of silks from a section of the plant's silk brush and quantitatively counting the pieces using an automated method. The automated method can be a digital image of the pieces distributed across or above a surface, and image analysis to derive a count of individual pieces. An alternative automated method is to move the pieces sequentially and substantially singulated past a detector.