Abstract: Systems and methods collect and process asset data locally at an edge device and transfer details regarding detected anomalies to a database. Such edge devices include unmanned aerial systems and other self-propelled devices. Anomalies can be located precisely, classified, and de-duplicated. Systems and methods also facilitate management of efforts to address detected anomalies.

Abstract: A system for use in connection with assessing characteristics of harvested specialty crops, the system comprising: at least one computer hardware processor; and at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform: obtaining an image of a set of harvested specialty crops and associated depth information; generating a 3D surface model of the set of harvested specialty crops using the image and the depth information; and estimating the volume of the set of harvested specialty crops using the 3D surface model.

Abstract: A device for use in connection with monitoring and assessing characteristics of harvested specialty crops. The device comprises: an imaging sensor configured to capture an image of a set of harvested specialty crops; a depth sensor; processing circuitry configured to generate depth information at least in part by using data obtained by the depth sensor; and a transmitter configured to transmit the image and the depth information to at least one remote computing device via a communication network.