Verdant Robotics, Inc.

Dustin James Webb

Gabriel Thurston Sibley

Patrick Christopher Leger

Curtis Dale Garner

Lorenzo Ibarria

A method and system having instructions to perform actions include obtaining images of an agricultural environment including a first image comprising at least one background portion and one or more regions of interest, implementing a machine learning (ML) algorithm on a portion of the first image including a portion of the background portion and the one or more regions of interest, detecting a plurality of objects associated with a plurality of real-world objects in the agricultural environment in at least one region of interest in the one or more regions of interest of the first image including detecting a first object and detecting a second object, implementing a second algorithm on the portion of the first image comprising the first object to detect one or more divided features of the first object, tracking a feature of the one or more divided features across subsequent images as the moving platform traverses the agricultural environment, tracking the second object, and selecting a target action configured to target the second object and applying the target action via the target mechanism to the second object.

Detecting and tracking features of plants for treatment in an agricultural environment

A portable mud mixing system for adding wet or dry components to oilfield drilling mud provides an enclosed mobile platform including at least one mud mixing hopper, at least one mud mixing tank, a suction piping assembly and a discharge piping assembly which blend the additives within the circulating drilling mud into a homogeneous mixture, circulate the mixture, and provide for introduction of the mixture into production, the system providing transfer of the drilling mud and mixture from pre-mix to production in one singular integrated system.

Integrated mobile mud mixing system

A method includes obtaining, by the treatment system configured to implement a machine learning (ML) algorithm, one or more images of a region of an agricultural environment near the treatment system, wherein the one or more images are captured from the region of a real-world where agricultural target objects are expected to be present, determining one or more parameters for use with the ML algorithm, wherein at least one of the one or more parameters is based on one or more ML models related to identification of an agricultural object, determining a real-world target in the one or more images using the ML algorithm, wherein the ML algorithm is at least partly implemented using the one or more processors of the treatment system, and applying a treatment to the target by selectively activating the treatment mechanism based on a result of the determining the target.

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Murray, UT, United States of America

Dustin James Webb