An automated computer-controlled sampling system and related methods for collecting, processing, and analyzing agricultural samples for various chemical properties such as plant available nutrients. The sampling system allows multiple samples to be processed and analyzed for different analytes or chemical properties in a simultaneous concurrent or semi-concurrent manner. Advantageously, the system can process soil samples in the as collected condition without drying or grinding. The system generally includes a sample preparation sub-system which receives soil samples collected by a probe collection sub-system and produces a slurry (i.e. mixture of soil, vegetation, and/or manure and water), and a chemical analysis sub-system which processes the prepared slurry samples for quantifying multiple analytes and/or chemical properties of the sample. The sample preparation and chemical analysis sub-systems can be used to analyze soil, vegetation, and/or manure samples.

A container includes a receptacle to hold nutrients and other food contents for a smoothie. The container is used with a larger vessel such as a blender into which the capsule is inserted and into which water or other fluid is poured. When the blender is closed, the container opens to release its contents for blending with the fluid into a delicious, healthful smoothie. The container may have a cover with opening flaps and relatively movable elements that pivot the flaps open when opposite forces are applied to the container by the larger vessel.

A mixing container with an internal mixing blade has an extraction funnel, a main housing, a rotatable base cap, a mixing blade and a gear mechanism. The extraction funnel has a first end with a maximum diameter and narrowing to a second end of a minimum diameter at a neck portion. The main housing includes a mixing chamber. The rotatable base cap with an internal gear is attached to and is rotatable relative to the main housing. The mixing blade has a plurality of prongs extending from a shaft. The prongs are in the mixing chamber and the shaft extends through an opening in the main housing to inside the rotatable base cap. The gear mechanism has at least one gear, each of the at least one gears is connected to or intermeshed with the internal gear of the base cap and the gear of the shaft end.

Systems and methods of using a surrogate machine learning model, based on a CFD model, to predict the mixing quality in steady state mixing tanks are provided. An exemplary method includes generating a plurality of training CFD models for a plurality of training steady state mixing configurations based on a plurality of steady state mixing factors associated with each training steady state mixing configuration; calculating a mixing quality for each training steady state mixing configuration using each respective training CFD model; generating a training dataset that includes the steady state mixing factors associated with each training steady state mixing configuration, and the calculated mixing quality for each training steady state mixing configuration; and training a machine learning model, using the training dataset, to predict mixing qualities for steady state mixing configurations based on based on steady state mixing factors associated with the steady state mixing configurations.

Systems and methods of using a surrogate machine learning model, based on a CFD model, to predict the mixing quality in steady state mixing tanks are provided. An exemplary method includes generating a plurality of training CFD models for a plurality of training steady state mixing configurations based on a plurality of steady state mixing factors associated with each training steady state mixing configuration; calculating a mixing quality for each training steady state mixing configuration using each respective training CFD model; generating a training dataset that includes the steady state mixing factors associated with each training steady state mixing configuration, and the calculated mixing quality for each training steady state mixing configuration; and training a machine learning model, using the training dataset, to predict mixing qualities for steady state mixing configurations based on based on steady state mixing factors associated with the steady state mixing configurations.

A feed mixer vehicle having a hopper with a base is carried on a chassis. A vertically extending auger assembly is rotatably mounted in the hopper adjacent the base, extending from the hopper base. A reduction gearbox assembly having a reduction gear train assembly is mounted adjacent the base of the auger assembly. The reduction gear train assembly has an input shaft and an output shaft, with the output shaft coupled to the auger assembly. The reduction gearbox assembly further includes a first planetary gear set assembly meshed with a second planetary gear set assembly, where the first planetary gear set assembly includes the input shaft and the second planetary gear set assembly includes the output shaft. Coupled to the input shaft of the reduction gearbox assembly is an axial flux motor assembly.

A blender including: a transmission base including a motor support, a motor shaft, a forward driver connected at a top of the motor shaft and a reverse driver rotating in opposite direction to the forward driver; a drive gear coaxially connected at a middle of the motor shaft; a reverse drive gear connected with the reverse driver; a reverse gear set for connecting the drive gear to the reverse drive gear arranged on the base; a blade device including a forward connector connected to the forward driver, a reverse connector connected to the reverse driver, a reverse blade shaft above the reverse connector, a forward blade shaft above the forward connector, the reverse blade shaft being provided with a central hole and connected with a reverse blade, the forward blade shaft being configured for passing through the central hole of the reverse blade shaft and connection with a forward blade.

A wireless sensor measures properties of a substance and transmits the properties to a remote wireless receiver. The wireless sensor can be fully enclosed within a container containing the substance, allowing remote monitoring of the properties of the substance without compromising integrity of a closed system.

A stirring apparatus includes a case that houses fiber pieces containing fibers, and a rotary body that is disposed inside the case and that stirs the fiber pieces, in which the rotary body includes a rotary portion that forms a portion of a bottom surface of the case and that rotates, and blades that stand upright on the rotary portion.

A tinting system includes a storage system and a colorant dispenser. The storage system includes a container that defines a fluid-tight, sealed chamber within which a colorant containing reduced levels of biocide (fungicide and/or bactericide) is stored. A valve is positioned at and sealed to an opening provided in the container. The colorant dispenser includes an inlet configured to be releasably and removably attached to the valve of the container. A pump and dosing valve of the colorant dispenser are operated to dispense colorant from the storage system through a discharge nozzle of the colorant dispenser. The dispensed colorant may be used to tint an aqueous-based paint.