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.

Identification of reflective surfaces as being associated with optical threats is disclosed. A first laser signal is emitted from a first laser system at a first wavelength and a first emission circular polarization orientation. A first signal reflection of the first laser signal from a reflective surface at the first wavelength having a first return circular polarization orientation that is different from the first emission circular polarization orientation is detected. A first return quantification of the first signal reflection, based at least in part on an amount of circular polarization of the first signal reflection, is determined. It is determined that the reflective surface is associated with a threat optic based at least in part on the first return quantification.

The method for determining the presence of a molecule having a Raman resonance generally comprises illuminating a sample with a first radiation beam, the first radiation beam having a first excitation wavelength being tuned to a Raman resonance of the molecule; receiving a first return signal from the sample following illumination of the sample with the first radiation beam; measuring a first intensity of the first return signal using an intensity detector; illuminating the sample with a second radiation beam, the second radiation beam lacking the first excitation wavelength and having a second excitation wavelength being different from the first excitation wavelength; receiving a second return signal from the sample following illumination of the sample with the second radiation beam; measuring a second intensity of the second return signal using an intensity detector; and determining the presence of the molecule in the sample based on the first and second intensities.

Systems, and methods for controlling a modular system for improved real-time yield monitoring and sensor fusion of crops in an orchard are disclosed. According to some embodiments of the invention, a modular system for improved real-time yield monitoring and sensor fusion may include a collection vehicle, a modular processing unit, a volume measurement module, a three-dimensional point-cloud scanning module, an inertial navigation system, and a post-processing server. As the collection vehicle travels through an orchard, the volume measurement module calculates volume measurements of the windrow, the three-dimensional point-cloud scanning module assembles point-clouds of each plant in the orchard, and the inertial navigation system calculates geodetic positions of the collection vehicle. The modular processing unit may fuse the collected data together and transmit the fused data set to a post-processing server. The post-processing server may process the geodetic position data for errors which may be used for geo-referencing the fused data.

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.

[Problem]

To provide a spectral camera control device, a spectral camera control program, a spectral camera control system, an aircraft equipped with said system, and a spectral image capturing method, with which it is possible for each of a spatial resolution and an exposure time for spectral image capture to be set arbitrarily, and with which spatial distortion and displacement of the spectral image can be suppressed.

[Solution]

This spectral camera control device is installed together with a spectral camera 3 provided with a liquid crystal tunable filter 33 in an aircraft 1 capable of stationary flight, and causes the spectral camera 3 to capture an image in a snapshot mode each time the transmission wavelength of the liquid crystal tunable filter 33 is switched while the aircraft 1 is in stationary flight.

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.

A light source section configured to couple a plurality of laser beams having different wavelengths and emit measuring light; an illuminating section configured to illuminate a measurement target at a predetermined angle; a light receiving section configured to receive reflected measuring light from the measurement target; and a controlling section configured to compute a reflectance at each of the wavelengths, based on a light receiving result. The light source section includes: a first and a second light source configured to emit each laser beams having different wavelengths; and a dichroic mirror disposed in optical axes of the laser beams intersected, configured to combine the laser beams. The light receiving section includes: a first, a second and a third light receiving unit configured to receive the reflected measuring light from different distance. The controlling section is configured to select which of results from each light receiving unit to use.

Methods and systems for determining water status in plant tissue are provided. A number of systems are capable of using terahertz signals to generate signals measuring total water content in plant tissue, including plant leaves. Using these signals, methods are capable of determining water status variables, including water mass per leaf area, relative water content, and leaf water potential, which can aid in agricultural, ecological, and environmental health, such as dehydration and droughst stress of plants.

The present invention relates to a method of calculating a Topography Adjusted Vegetation Index (TAVI) based on a band ratio model and a solar altitude angle. The method includes the folio wing steps: obtaining the apparent reflectance data of a remote sensing image through image preprocessing, analyzing the quality of the image and numerical distribution, calculating a Shadow Vegetation Index (SVI), and constructing a TAVI combinational algorithm:

[00001]$\mathrm{TAVI}=\frac{B_{\mathrm{ir}}}{B_r}+f\left(\right).Math.\frac{1}{B_r},$

calculating an adjustment factor f () with the solar altitude angle, and finally obtaining anti-topographic effect TAVI vegetation information. The TAVI in the present invention is composed of two band ratio submodels RVI and SVI, the denominators of both of which are red band data of a remote sensing image, and the adjustment factor f(), which is calculated by a solar altitude angle as a parameter with a sensor factor applied, has great physical significance. The TAVI calculation method does not need digital elevation model (DEM) data and remote sensing image classification when not depending on ground survey data,, and ensures that the interference of the topographic effects with the vegetation information can be effectively eliminated by the TAVI, thereby avoiding the problem of reduced inversion accuracy of ground vegetation information due to different registration accuracy of a remote sensing image and DEM data.