Disclosed are methods and systems for spectral imaging of soybean samples to accurately and non-destructively measure the amount of sucrosyl-oligosaccharide in the soybean samples. Populations containing modified and unmodified soybean seeds and having varying amounts of sucrosyl-oligosaccharides, oil or protein can be sorted and separated and further used in soybean processing or breeding.

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.

In some embodiments, apparatuses and methods are provided herein useful to determining a flavor profile for an item. In some embodiments, a computing system for determining a flavor profile of an item comprises a memory device storing computer-executable instructions and a processor configured to execute the computer-executable instructions to obtain a spectral profile associated with the item, identify at least one attribute value for at least one attribute of the item based on the received spectral profile, determine a flavor score for the item based on the at least one attribute value, obtain time series data associated with the item corresponding to a number of days, calculate a predicted flavor score for the item relative to the number of days based on the received time series data, and generate a flavor profile for the item based at least on the predicted flavor score.

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 spectroscopic measuring instrument includes: a spectrometer to make measurement of a reflection spectrum of an object relative to a light source and output measurement information representing a result of the measurement; a shadow projector including obstacle(s) to allow light from the light source to cast shadow(s) on an object surface; an imaging device to output image information representing an image of an imaging area including the object surface; a storage interface removably connectable to a computer readable medium; and a processing device. The processing device is connected to the spectrometer, the imaging device and the storage interface, and performs a measurement process of storing the measurement information from the spectrometer and the image information from the imaging device in the computer readable medium connected to the storage interface.

An information processing system includes a storage, an interface device, and a computing circuit. The storage stores a database, in which spectrum data concerning light from a light source and a measurement condition data at a time of measurement of the light are associated with a plant status data concerning growth of a plant and/or a harvest data concerning a harvest of the plant. The interface device receives an input of a user measurement condition which is to be applied at a time of measurement of the plant by a user and which includes data concerning angles at the time of measurement and data concerning a plant status and/or a harvest to be predicted. The computing circuit determines at least two wavelengths contained in the light from the light source to be measured under the user measurement condition by referring to the database based on the user measurement condition.

A grain-component sensor comprises a white LED for emitting a white light as a light emission source, a sample holder in which a sample is filled, a spectroscope for receiving a reflected light from the sample and performing a spectroscopic analysis, and as optical filter provided on an optical path between the white LED and the sample holder, the optical filter has an optical characteristic that is a transmittance of substantially 100% in a wavelength band from 950 nm to 1100 nm and cuts a light in a visible light region to substantially 0%, a light emitted from the white LED transmits through the optical filter and is irradiated to the sample as a detection light in a wavelength band from 950 nm to 1100 nm, and a diffused reflected light from the sample is condensed by a condenser lens and is entered the spectroscope.

A granular-substance component measuring method comprises steps of emitting detection light to granular substances filled in a space, receiving a reflected light from the granular substances and measuring a component of granular substances by a spectroscopy, and a displacement is given to the granular substances at each measurement, measurements are performed a plurality of times, and measurement results are averaged.

The present disclosure provides a detection system for detecting matter and distinguishing specific matter from other matter. The detection system comprises at least one light source arranged to emit one or more light beams having a known wavelength or wavelength range. Further, the detection system comprises at least one optical element configured to direct the one or more light beams onto a plurality of locations within an area of interest including the matter. The detection system also comprises a detector for detecting intensities of the one or more light beams reflected at the plurality of locations within the area of interest including the matter. In addition, the detection system comprises an outcome determination system. The system is arranged to obtain information indicative of at least a portion of a shape of at least some of the matter based on detected light intensities of the one or more light beams reflected at the plurality of locations. The system is also arranged to obtain information indicative of a spectral intensity distribution based on detected light intensities of the one or more light beams reflected at the plurality of locations. The outcome determination system is arranged determine whether the matter is specific matter based on the information indicative of at least a portion of a shape of at least some of the matter and based on the information indicative of a spectral intensity distribution.

The present technique relates to an information processing apparatus, an information processing method, a program, and a sensing apparatus that each enable determination as to the state of the inside of a living body. The information processing apparatus applies a calculation algorism in accordance with a transient model that presents functions that a living body to be measured has, to measurement data of a transient response obtained from the living body, calculates an unknown parameter of parameters relating to the transient model, and thereby enables determination as to the state of the inside of the living body. The present technique is applicable to, for example, an information processing apparatus that calculates the quantum yield of photosynthesis of a plant.