Abstract: A system for monitoring plant or soil characteristics in a crop field, the system comprising a prime mover comprising a base and a camera frame operably coupled to the base. The camera frame comprises a central frame, a rotatable frame rotatably attached to the central frame, at least one camera attached to the rotatable frame.

Abstract: Systems and methods for generating optical character recognition (OCR) models configured to identify characters from a variety of different documents. The OCR models are based on a base model. One or more outside models can be tested to determine their effectiveness in supplementing the base model. When an outside model is effective it is incorporated into the base model. Generations of base models can be created that provide for additional functionality that is not present in the preceding model. A family of the generations of base models is maintained.

Abstract: The application is directed to the generation of training materials for optical character recognition. Generating the training materials for optical character recognition can include selecting a plurality of terms that include a string of characters. For each term, generating multiple digital term images that each includes the term with a different visual appearance. For generation of a training document, the method includes positioning the term images on a digital background and generating the digital training material.