A gas analysis system includes spectroscopy assembly coupled to a vehicle. The spectroscopy assembly includes a plurality of emitters configured to emit a plurality of light beams toward a target surface. Each light beam of the plurality of light beams comprises a predetermined wavelength. The spectroscopy assembly includes a collection optic configured to receive a plurality of reflected light beams reflected from the target surface. Additionally, the spectroscopy assembly includes a detector configured to receive the plurality of reflected light beams from the collection optic and to detect a spectral intensity of the plurality of reflected light beams. Further, the spectroscopy assembly includes a controller configured to receive a light beam signal from the detector indicative of the spectral intensity of the plurality of reflected light beams. The controller is configured to detect a target fluid based on the light beam signal.

An object state detection and transmission system includes a spectroscope that measures a reflectance spectrum based on reflected light reflected by a target object, a spectroscopic terminal apparatus integrally provided with an electronic device, the spectroscopic terminal apparatus receiving a measured reflection spectrum; and a server apparatus connected to the spectroscopic terminal device via a communication line. The electronic device includes photographing means that photographs a target object to capture a photographed image; GPS means that measures a position of the target object; sensor means that measures azimuth and angle of the target object; clock means that clocks current time of the photographing and measurement; and communication means that transmits the photographed image, the position of the target object, the azimuth and angle of the target object, and the photographing and measurement time together with the received reflection spectrum to the server apparatus.

A system and method for detecting or identifying substances based on spectral response signatures is provided. The system utilizes IR imagery, singularly or stored in a database, in operative communication with a database or library of known spectral response signatures. The system correlates the spectral response signature detected, or inherent, in an image or image library, with the set of known signatures in the spectral database. The system generates a report of the substances or chemical compounds present in at least a portion of the image. The system can also query a database of IR products for an area of interest, and return results in a report or via an interactive tool, for IR products containing specific IR spectral results.

An apparatus for remote detection of plant growth dynamics is described. The apparatus includes an excitation LED (light emitting diode) module, a detection module and a controller module coupled to the excitation LED module and the detection module. The excitation LED module includes at least one LED. Each LED is configured to emit an excitation light in response to an excitation control signal. The excitation light has an emitted light spectrum.

The detection module includes a photodetector configured to detect an initial chlorophyll a fluorescence (ChlF) light and an excited ChlF light from a plant species. The photodetector is further configured to convert the detected initial ChlF light into an initial detection electrical signal and the detected excited ChlF light into an excited detection electrical signal, The excited ChlF light is emitted from the plant species in response to receiving the excitation light.

The controller module is configured to provide the excitation control signal to the excitation module, to capture the initial and excited detection electrical signals from the detection module and to determine chlorophyll fluorescence data based, at least in part, on the initial and excited detection electrical signals. The excitation LED module and the detection module are configured to be positioned remotely from the plant species. The chlorophyll fluorescence data represents a growth characteristic of the plant species.

Fertilizer application is challenged by inadequate constraints on key factors that determine how much to apply, and when to apply. Systems and methods for are disclosed that can make use of prior information (e.g. from field trials), time series data from a radiation measuring device, and episodic but spatially extensive satellite data, to constrain these uncertainties.

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 spectral imaging device for determining a growth stage of a biomass resource. The device comprising one or two (stereoscopic) cameras and an active illumination means emitting a spectral wavelength. The cameras adapted to capture at least two images comprising data captured in the spectral wavelength emittable by the active illumination means. A processor adapted to analyse at least one image; and wherein images captured by stereoscopic camera generates a 2D and/or a 3D image.

A gas analysis system includes spectroscopy assembly coupled to a vehicle. The spectroscopy assembly includes a plurality of emitters configured to emit a plurality of light beams toward a target surface. Each light beam of the plurality of light beams comprises a predetermined wavelength. The spectroscopy assembly includes a collection optic configured to receive a plurality of reflected light beams reflected from the target surface. Additionally, the spectroscopy assembly includes a detector configured to receive the plurality of reflected light beams from the collection optic and to detect a spectral intensity of the plurality of reflected light beams. Further, the spectroscopy assembly includes a controller configured to receive a light beam signal from the detector indicative of the spectral intensity of the plurality of reflected light beams. The controller is configured to detect a target fluid based on the light beam signal.

The present disclosure provides a method and system for identifying plant species based on hyperspectral data, wherein the method includes: performing atmospheric radiation correction for the hyperspectral data of plants to be identified adopting Linear Regression method, to obtain corrected hyperspectral data, wherein, the hyperspectral data of the plants to be identified are collected by a hyperspectral ground object spectrometer provided within an unmanned aerial vehicle (UAV); performing external parameter orthogonalisation (EPO) processing for the corrected hyperspectral data; performing first order differential processing for the EPO processed hyperspectral data, to obtain hyperspectral data highlighting absorption peak information; performing discrete wavelet transformation processing for the hyperspectral data highlighting the absorption peak information, to obtain wavelet coefficients corresponding to the plants to be identified.

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.