A system for analyzing remotely sensed photos of a forest or other areas of interest uses a computer system to increase the variation in NIR data having values that represent items of interest. In one embodiment, a computer system applies a stretching function to the NIR data to increase their variation. The objective spectral stretched NIR data is used to differentiate different types of vegetation in the remotely sensed image. Objective-based Vegetation Index (OVI) values are calculated from the objective spectral stretched NIR data that allow different types of vegetation to be distinguished. In one embodiment, the OVI values are used to differentiate hardwoods from conifers in a digital aerial photo of a forest.

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.

A growth information management apparatus is provided, which can accurately ascertain a growth situation of plants or the like regardless of a positional change of an equipment where the apparatus is mounted. A growth information management apparatus 100 emits a measuring beam to a plant P and acquires growth information on the plant, based on received reflected light, with the growth information management apparatus being mounted on another equipment 1. The growth information is corrected based on change information on the irradiation direction of the measuring beam according to a positional change of the other equipment.

Crop is routed past a sample window on an agricultural combine harvester. Light it is impinged on the crop from an illumination source and reflected radiation is directed to a sensor. The output of the sensor is indicative of various constituents in the harvested crop. The illumination source is controlled based on the temperature proximate the crop sample.

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 system comprising: at least one hardware processor; and a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to: receive, as input, spectral image data representing spectral reflectance associated with at least one plant, calculate a first and second chlorophyll fluorescence indices in respective first and second wavelength bands, based, at least in part, on said spectral reflectance, and derive a quantum yield value with respect to said at least one plant, by: (i) dividing said first chlorophyll fluorescence index in a sum of said first and second chlorophyll fluorescence indices, and (ii) multiplying (i) by a vegetation index value associated with said at least one plant.

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.

The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality. According to embodiments of the invention, a plant analysis system is configured determine a spectral signature of a plant based on spectral data, and plant color based on photographic data. The spectral signatures and plant color are associated with assembled point cloud data. Morphological data of the plant can be generated based on the assembled point cloud data. A record of the plant can be created that associates the plant with the spectral signature, plant color, spectral data, assembled point cloud data, and morphological data, and stored in a library.

A method for correcting top-of-atmosphere reflectance data in high altitude imagery to a ground surface reflectance data. Transmission of light through Earth's atmosphere and its suspended load of aerosol particles degrades light within the visible through near infrared portion of the spectrum. This can severely affect the quality of the data recorded by orbiting Earth observation satellites. The method first measures the degree of atmospheric effects upon reflectance, then reverses these effects to deliver surface reflectance data and imagery cleaned of haze and thin clouds.