The invention relates to a device for crumbling root crops into substantially equal sized pieces, comprising: a main frame having an inlet side and an outlet side; a root crop supply at the inlet side; at least one crumbling shaft rotatable supported in the main frame, the crumbling shaft being provided with a plurality of curved hooks, which are curved into a direction of rotation of the crumbling shaft; and a non-rotating cutting rake having a plurality of protrusions and recesses and forming a counter blade for the hooks, wherein the hooks are arranged for interlaced movement with said recesses of the non-rotating rake. The invention moreover concerns a system and a corresponding method.

A material characterization system and method for characterizing a stream of material emanating from a material identification, exploration, extraction or processing activity, the system including a source of incident radiation configured to irradiate the stream of material in an irradiation region, one or more detectors adapted to detect radiation emanating from within or passing through the stream of material as a result of the irradiation by the incident radiation and thereby produce a detection signal, and one or more digital processors configured to process the detection signal to characterise the stream of material, wherein the source of incident radiation and the one or more detectors are adapted to be disposed relative to the stream of material so as to irradiate the stream of material and detect the radiation emanating from within or passing through the stream as the stream passes through the irradiation region.

A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

Systems and methods are disclosed for a method of compacting a layer of foamed glass aggregates, comprising, depositing the layer of foamed glass aggregates, compacting the layer of foamed glass aggregates, and determining a compaction level of the layer of foamed glass aggregates using light detection and ranging (LiDAR). Systems and methods are also disclosed for a method of determining a compaction level of a layer of foamed glass aggregates, comprising, depositing the layer of foamed glass aggregates, compacting the layer of foamed glass aggregates, and measuring the compaction level of the layer of foamed glass aggregates using light detection and ranging (LiDAR).

A method for measuring grain on a harvesting machine for harvesting cereals comprising: acquiring an image of the grain in the harvesting machine using a camera; and processing the image in an image processing system and generating an output value in respect of properties of the grain, wherein the output value contains information relating to at least one of the following quantities per unit area of the field: grain count, grain dimensions, and grain mass.

A grain tailings elevator for a combine harvester includes a an elevator housing having an interior containing a conveyor arrangement configured to transport grain tailings through the elevator housing to a discharge outlet. The elevator housing has a side wall with a window to the interior of the elevator housing. A camera having a camera housing containing an image sensor is mounted to the side wall of the elevator housing over the window with the image sensor in registration with the window. The image sensor is trained on the conveyor arrangement and configured to image the grain tailings transported by the conveyor arrangement through the elevator housing.

An identification apparatus 1000 includes a light collecting unit 20 configured to collect scattered light from a sample, spectroscopic elements 150l and 150h configured to disperse light from the light collecting unit 20, an imaging unit 170 that includes a plurality of light detection elements arrayed in a row direction 172r and a column direction 172c and to which optical spectra from the spectroscopic elements 150l and 150h are projected along the row direction 172r, and an acquisition unit 30 configured to acquire spectral information about the sample based on an output signal from the imaging unit 170. The optical spectra corresponding to the sample are projected to the imaging unit 170 discontinuously in at least one of the row direction 172r and the column direction 172c.

The present invention generally relates to improved methods for the manufacture of inhalation powders. More particularly, aspects of the disclosure relate to methods for in-line monitoring of powder blending by Raman spectroscopy.

A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

A fine ratio measuring device that measures the fine ratio of fines adhering to the surface of the material in the form of lumps includes: an illumination unit that illuminates the material in the form of lumps; an imaging unit that captures an image of the material in the form of lumps and produces image data; and an arithmetic unit including a computation unit that computes a characteristic quantity of the image data produced by the imaging unit and a conversion unit that converts the characteristic quantity computed by the computation unit to the fine ratio.