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.

A method for tagging a plant growth comprises incorporating one or more fluorescent carbon dots into said plant growth.

Creating NIR sensor calibration models and their use in agricultural work machines is disclosed. A database structure, such as a database structure system, for creating calibration models for an NIR sensor system is used. The database structure includes raw data of the NIR spectra of one or both of plant material and other substances. The raw data are generated by one or more NIR sensor systems assigned to an agricultural work machine. The one or more NIR sensor systems transmit the raw data via an interface for the data traffic with at least one data processing unit external to the agricultural work machine. The database structure comprises one or more calibration models and the raw data, generates user-specific calibration models by using the saved raw data and/or calibration models, and provide user-specific calibration models to a user.

Provided is a system for detection and analysis of a fibrous root system architecture of a plant, including a plant pot having at least one slit area extending through a cross section in an axial direction, at least one laser measuring unit, and a data analyzing unit, where each laser measuring unit has a laser transmitter and a receiver disposed corresponding to the slit area in such a manner that a laser beam emitted from the laser transmitter to the receiver goes across the cross section of the plant pot; measurement on all roots in the slit area is realized by a rotating stage, and the laser measuring unit swinging horizontally around the laser transmitter within a predetermined angle range; and the data analyzing unit is configured to perform statistical analysis on the roots of a plant to be measured according to laser measuring results.

A monitoring system for a bioreactor is disclosed. The monitoring system includes a cuvette arranged to receive a fluid from a bioreactor, wherein the fluid includes a portion of a biomass. The system further includes a light source arranged to project light, at wavelengths absorbable by the biomass, into the cuvette. A sensor is arranged to detect portions of the light that are not absorbed by the biomass. The system further includes a controller coupled to receive an indication of an amount of light detected by the sensor. The indication of the amount of detected light is usable to determine an amount of biomass in the cuvette.

The described invention is directed to hydrogel-based transparent soils that can provide heterogeneous, aeration, and porous condition for plant growth. The hydrogel beads are highly tailorable in size and porosity providing an environment that is closer to natural soil. Index-matching allows the beads to appear transparent, facilitating the use of imaging and microscopy of the plant root system in vivo.

A method and system for controlling the quality of harvested grains include capturing, by one or more image sensors, one or more images of material at a sampling location within a grain elevator of the combine harvester. The captured images are defined by a set of image pixels represented by image data and having a classification feature indicative of grain or non-grain material. One or more controllers receive the image data associated with the one or more images captured by the image sensor(s) and select a sample image defined by a subset of image pixels of the set of image pixels. The controller(s) apply a convolutional neural network (CNN) algorithm to the image data of the subset of image pixels of the selected sample image to determine the classification feature. The controller(s) analyze the determined classification feature to adjust an operational parameter of the combine harvester.

The invention relates to a handheld device and method for determining a status of a plant. The device includes a multi pixel digital colour sensor, a light source arranged for providing broadband illumination, wherein the light source and the multi pixel digital colour sensor are arranged in substantially the same plane, a light guide for guiding the light from said light source into the direction of the multi pixel digital colour sensor, a sample space, provided between the multi pixel digital colour sensor and the light source, for insertion of at least a part of the plant therein, and a processing unit configured for controlling at least the multi pixel digital colour sensor and the light source.

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.

Systems and methods to measure Total THC easily and accurately in cannabis plant material to discriminate between legal hemp and illegal marijuana. In a particularly preferred embodiment, infrared spectral measurements are made of samples, a plurality of calibration models are applied, and a given sample is classified as to whether it is hemp or marijuana.