A method and a device for detecting plastic foreign objects with low chromaticity difference in shredded tobacco through online pulse spectral imaging are provided. The method includes three steps: negative pressure thin-layer loading of shredded tobacco, pulse line-scanning identification of shredded tobacco, and positive pressure online elimination of foreign objects. Loose shredded tobacco is formed into a fixed and continuous thin layer on a surface of a conveying cylinder under the effect of a negative pressure adsorption force. The surface of the conveying cylinder is coded by areas. An LED linear array light source containing characteristic wavelengths of plastics with low chromaticity difference emits optical pulses, and a line-scanning camera is used to obtain characteristic signals of the plastic foreign objects with low chromaticity difference efficiently in real time.

The present invention relates to a nutrient solution recycling plant cultivation system, which recycles and supplies a cultivation nutrient solution and measures in real time the composition of each nutrient component to be added to a waste nutrient solution through a so-called soft sensor using measured values of pH, EC, temperature, turbidity, and weight and a previously constructed estimation model instead of an expensive high-performance analyzer, thereby minimizing nutrient solution consumption while meeting a required level of accuracy.

The present disclosure relates to a method and system for predicting a severity of bacterial blight of rice based on multi-phenotypic parameters. The method includes: calculating a rice spectral reflectance corresponding to each of the plots in a study area based on multi-spectral images, and screening characteristic variables based on a rice leaf chlorophyll content and a rice plant water content (WC) under stress of the bacterial blight to establish a new spectral index (SI); predicting the rice leaf chlorophyll content and the rice plant WC in the study area based on the rice spectral reflectance and regression model prediction, and predicting the incidence of the bacterial blight of rice; and obtaining quick indication of the severity of the bacterial blight of rice based on the new SI and the prediction. The method is suitable for high-throughput rice disease phenotype monitoring research.

An inspection system is presented for use in monitoring plants' conditions in a plant growing area. The inspection system comprises: an optical probe comprising at least one imaging set, each imaging set comprising: a flash illuminator unit; an imaging unit configured with a predetermined resolution; and a sensing unit; the optical probe being configured and operable to perform one or more imaging sessions on a target in a plant growing area at a target location during a movement of the optical probe along a movement path in a vicinity of the target location, said sensing unit comprising a distance sensing element configured and operable to determine an instantaneous distance between the imaging unit and the target being imaged, and generate distance sensing data indicative thereof; and a control unit configured and operable to be responsive to the distance sensing data to initiate the imaging session and synchronize operation of the flash illuminator unit and the imaging unit to capture images of the target by the optical probe, thereby enabling analyzing the images and determining a condition of the target being indicative of at least one of pest, insect and disease presence at the target.

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 an inspection apparatus, a sensing apparatus, a sensitivity control apparatus, an inspection method, and a program that perform inspection with improved accuracy. The inspection apparatus includes a detection section for detecting a plurality of different wavelength region components of ambient light reflected from an inspection target to be inspected, and a control section for controlling the sensitivity of each of the different wavelength region components. The control section controls the sensitivity by calculating a histogram indicating the detection level in every wavelength region of light reflected from the inspection target that is detected by the detection section, and determining, based on histograms of particular spectroscopic components, whether or not the sensitivity is properly set for the detection section. The present technology is applicable, for example, to an inspection apparatus that inspects vegetation.

A water stress detection method for tomatoes in a seedling stage based on micro-CT and polarization-hyperspectral imaging multi-feature fusion, comprising: using micro-CT to scan microscopic morphological features such as water stress stomata, spongy body, palisade tissue, cilia, vascular bundle, root volume, main root, and root hair density of tomatoes; using a polarization-hyperspectral imaging system to obtain macroscopic morphological features such as crown width, plant height, and leaf inclination of water stress plants, as well as leaf vein distribution, average gray, and leaf margin shaded area under a water-sensitive wavelength of 1450 nm, and macroscopic morphological features such as polarization states, stock vectors, and Mueller matrix variables of 1450 nm feature images at 0°, 45°, 90°, 135°, and 180° feature polarization angles. By fusion of internal and external structures, above-ground, underground, and macroscopic and microscopic morphological features of water stress tomatoes, and mutual fusion of water stress feature wavelength images and polarization state features, advantages are complementary, comprehensive and precise extraction and precise quantitative analysis of water stress features of the tomatoes are implemented, and a basis for scientific management of water and fertilizer integration of facilities is provided.

There is provided an information processing apparatus including a macro measurement analysis calculation section configured to calculate detection data from a macro measurement section adapted to perform sensing at a first spatial resolution for a first measurement range for a measurement target, a micro measurement analysis calculation section configured to calculate detection data from a micro measurement section adapted to perform sensing at a second spatial resolution for a second measurement range, the second spatial resolution being higher than the first spatial resolution, the second measurement range being included in the first measurement range for the measurement target, and an inverse model calculation section configured to acquire a model parameter used for an inverse model calculation using a calculation result from the macro measurement analysis calculation section, on a basis of the detection data from the micro measurement section determined by the micro measurement analysis calculation section.

To easily and accurately perform calibration with respect to environment light. In one example, an information processing device includes a memory configured to store detected values of illuminances of environment light; and a color temperature estimation unit configured to estimate a color temperature of the environment light, on a basis of detected values of illuminances of the environment light within a plurality of wavelength bands. The disclosed technology can, for example, be applied to a system that performs remote sensing on an agricultural land, and calculates an evaluation index such as a normalized difference vegetation index (NDVI).

Methods and apparatus for determining a plant health parameter based on a measured IR parameter of the plant are provided. If the measured plant health parameter indicates the plant is experiencing a stress condition, an alert can be provided and/or a control system can be activated to supply environmental elements such as water to the plant to ameliorate the stress condition.