An integrated rapid non-destructive detection system for multi-index of meat quality comprises a spectrometer for obtaining near-infrared spectra of a sample; an industrial tablet computer, comprising: a model embedding module for storing multiple prediction models; a model determining module connected with model embedding module and configured to call prediction model; an index prediction module connected with spectrometer and model determining module for receiving near-infrared spectra and predicting index data of the sample combining with called prediction model; wherein the number of detector elements of spectrometer is determined by an ultimate minimal resolution, and a resolution of the sample is controlled to the ultimate minimal resolution during an acquisition process; which realizes automatic black-white calibration, non-destructive detection of multi-index, improves building efficiency of model, while maintaining building stability, and optimizes detection instrument volume.

An integrated rapid non-destructive detection system for multi-index of meat quality comprises a spectrometer for obtaining near-infrared spectra of a sample; an industrial tablet computer, comprising: a model embedding module for storing multiple prediction models; a model determining module connected with model embedding module and configured to call prediction model; an index prediction module connected with spectrometer and model determining module for receiving near-infrared spectra and predicting index data of the sample combining with called prediction model; wherein the number of detector elements of spectrometer is determined by an ultimate minimal resolution, and a resolution of the sample is controlled to the ultimate minimal resolution during an acquisition process; which realizes automatic black-white calibration, non-destructive detection of multi-index, improves building efficiency of model, while maintaining building stability, and optimizes detection instrument volume.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

An apparatus for estimating blood glucose is provided. The apparatus for estimating blood glucose may include a spectrometer configured to measure a spectrum from an object, and a processor configured to monitor a change in a contact state between the object and the spectrometer, determine a calibration section based on the monitored change in the contact state, extract a background signal from a spectrum of the determined calibration section, and generate a personalized blood glucose estimation model based on the extracted background signal.

An apparatus for estimating blood glucose is provided. The apparatus for estimating blood glucose may include a spectrometer configured to measure a spectrum from an object, and a processor configured to monitor a change in a contact state between the object and the spectrometer, determine a calibration section based on the monitored change in the contact state, extract a background signal from a spectrum of the determined calibration section, and generate a personalized blood glucose estimation model based on the extracted background signal.

A non-contact system for the sensing the concentration of a compound includes a hyperspectral imaging device configured to capture a hyperspectral image of a fluid, a flow cell configured to enable the capturing of a hyperspectral image of a fluid, a process, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the system to generate a hyperspectral image of the fluid in the flow cell, generate several spectral signals based on the hyperspectral image, provide the spectral signal as an input to a machine learning network, and predict by the machine learning network the concentration of a compound in a fluid.

A non-contact system for the sensing the concentration of a compound includes a hyperspectral imaging device configured to capture a hyperspectral image of a fluid, a flow cell configured to enable the capturing of a hyperspectral image of a fluid, a process, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the system to generate a hyperspectral image of the fluid in the flow cell, generate several spectral signals based on the hyperspectral image, provide the spectral signal as an input to a machine learning network, and predict by the machine learning network the concentration of a compound in a fluid.

An apparatus for detecting matter including: a light source arrangement adapted to emit a first and a second set of light beams towards a first detection zone through which the matter is provided. A spectroscopy system adapted to receive and analyse light which is reflected and/or scattered by matter in the first detection zone. A laser triangulation system including, a laser arrangement adapted to emit a line of laser light towards a second detection zone. A camera-based sensor arrangement configured to receive and analyse light which is reflected and/or scattered by matter in the second detection zone. The received light of the spectroscopy system completely or partially intersects the received light of the camera-based sensor arrangement and/or the line of laser light.

In order to provide an elemental analysis device that includes an electrode having a housing recess where a crucible is housed during an elemental analysis, and that is capable of making only the part of a consumed electrode tip replaceable, an elemental analysis device including a first electrode and a second electrode between which a crucible MP containing a sample is nipped, and that heats the sample by applying a current between the first electrode and the second electrode, the first electrode includes: a first electrode main body that is provided with a housing recess where the crucible MP is housed; and a first electrode tip that is provided removably to the first electrode main body in such a manner that a part thereof is exposed inside the housing recess.