Abstract: A method and system are provided for automatically portioning workpieces, such as food products, into both shape and other user-defined specification(s). Workpieces are portioned both to shape and weight, such as to a weight-specific uniform shape, by adjusting (e.g., scaling up and down or slightly modifying) a desired template shape until the desired weight is achieved depending on the varying thickness of each workpiece. For example, from a thicker workpiece, a smaller-sized piece having a predefined shape and weight is portioned, while from a thinner workpiece, a larger-sized piece having the same predefined shape and weight is portioned. The system permits a user to scan in and edit a desired (reference) shape to be used as a template in the portioning process.

Abstract: A method for generating a supplementary index raster file based on a plurality of primary index raster files that are associated with an area of interest (AOI) uses a computer coupled to a remote sensing device via a network, wherein the computer includes an input device, a display, and a memory. The method includes generating the plurality of primary index raster files including at least two independent vegetation index (VI) raster files and a soil brightness index (SBI) raster file, wherein each primary index raster file includes a plurality of pixel values. The method also includes combining the at least two VI raster files to generate a classified soil brightness (CSB) raster file, classifying each pixel value of the CSB raster file into one of a plurality of classes, storing the CSB raster file into the memory, and displaying the CSB raster file.

Abstract: A method for generating a supplementary index raster file based on a plurality of primary index raster files that are associated with an area of interest (AOI) uses a computer coupled to a remote sensing device via a network, wherein the computer includes an input device, a display, and a memory. The method includes generating the plurality of primary index raster files including at least two independent vegetation index (VI) raster files and a soil brightness index (SBI) raster file, wherein each primary index raster file includes a plurality of pixel values. The method also includes classifying each pixel value of the at least two VI raster files as one of a leafy material and a non-leafy material, generating a leaf pigmentation index (LPI) raster file based on the classified pixel values, storing the LPI raster file into the memory, and selectively displaying the LPI raster file.

Abstract: Method for analyzing berries, characterized in that: berries are arranged on an analysis plate, an image of the berries is recorded, the image consisting of pixels of at least one component of an elementary color, the contours of the berries are identified, and geometric and/or colorimetric characteristics of the berries are determined. The number of berries can then be determined, or a volume, a surface area, a surface area to volume ratio, and a characteristic concentration for each berry can be determined, in addition to an average, for all of the pixels inside the contour of a defined berry, of the values of a component of an elementary color of a component of interest. A device for implementing the method is also disclosed. The invention especially relates to viticulture and to the analysis of the maturity of the grape.

Abstract: A detection device has an animal detection part that detects an animal from a captured image, a person detection part that detects a person from the image, and a detection result output part. The detection result output part outputs a detection result including at least information indicating that a target body is detected when the animal detection part detects the animal from the image and when the person detection part detects the person from the image.

Abstract: A computer-implemented image analysis process, including: accessing image data representing an image including an animal object representing an animal; selecting one more start points on a boundary of the animal object using an intensity gradient of the image; and generating boundary data, representing at least a portion of the boundary, starting at each of the selected one or more start points, using the intensity gradient.

Abstract: An information processing apparatus comprises a category recognition section, a characteristic recognition section and a specifying section. The category recognition section recognizes the category of a commodity using input imaged images. The characteristic recognition section recognizes the characteristics of a specific attachment attached to the commodity using the input imaged images. The specifying section specifies the specific information of the commodity according to the category of the commodity that is recognized by the category recognition section and the characteristics of the specific attachment recognized by the characteristic recognition section.

Abstract: A system and method of determining nitrogen levels from a digital image. In particular, a method of determining leaf nitrogen concentration and yield from a digital photograph of a fully developed leaf (collared leaf) of a crop of nonlegumes, such as corn, rice, wheat, cotton, potatoes or sugarcane. The digital image is processed to determine a dark green color index (“DGCI”), which is closely related to leaf nitrogen concentration and yield. Standardized color disks having known DGCI values are included in the digital photograph and serve as an internal standard. The internal standard allows correction of DGCI of samples when using different cameras and/or when lighting conditions change.

Abstract: Disclosed is a method and an apparatus for measuring the growth of leaf disks. The method comprises the following steps: a) Calibrating the capture system, b) capturing at least 2 images of a leaf disk, c) processing the image data, comprising i) segmenting the leaf disks by threshold segmentation, ii) multiple morphological erosion steps, iii) edge cleaning to remove the edge of the storage vessel, d) 3D reconstruction: generating a disparity map by means of a stereo algorithm, calculating a 3D surface model based on the previously determined calibration parameters from the disparity map, e) smoothing the previously obtained surface model, f) determining the growth rates from the time series of the areas. The apparatus comprises at least one camera, a lighting unit, a translation table in the X/Y plane for the camera and (infrared) lighting, storage vessels for leaf disks, and electronic evaluation and control units.

Abstract: According to one aspect, the invention provides a method for detecting pest infestation within a body. The method comprises the steps of a) providing an imaging system comprising at least a radiation source, a detector, a processing station and a display monitor; b) positioning at least a section of the body between the radiation source and the detector; c) acquiring a first image of said section of said body; d) acquiring at least one second image of the section of the body; e) removing the common portion of the images by subtracting the first image from the second image, thereby resulting in a digitally subtracted image; and f) observing determining from the digitally subtracted image and determining whether at least one pest is present within the body. Pest infestation may be detected without physical contact with the tree.

Abstract: The present invention relates to a non-invasive early diagnostic method and device that allows an early diagnosis of Marssonina blotch disease, which infects apple tree leaves, before the occurrence of lesions to enable early prevention of apple Marssonina blotch disease.

Abstract: Systems and methods of determining nitrogen levels from a digital image and in-season nitrogen measurement and fertilization of non-leguminous crops from digital image analysis are disclosed herein. In particular, a method of determining leaf nitrogen concentration and yield from a digital photograph of a fully developed leaf (collared leaf) of a crop of non-legumes, such as corn, wheat, rice, cotton, potatoes sugarcane, turfgrass or forage grass species. The digital image is processed to determine a dark green color index (“DGCI”), which is closely related to leaf nitrogen concentration and yield. Standardized color disks having known DGCI values are included in the digital photograph and serve as an comparative standard. The comparative standard allows correction of DGCI of samples when using different cameras and/or when lighting conditions change. The DGCI values can then be used to determine the amount of nitrogen fertilizer that should be applied to recover crop yield potential.

Abstract: Systems and methods are described that provide a fast and simple way of administering a drug program related to an animal. Specifically, systems are provided that can receive, compile and analyze information regarding the condition of an organ in a form that is readily readable, transferable to others, and associated with, or linked to, other information such as the presence or absence of an administered drug, combination of drugs, or drug program.

Abstract: The present invention encompasses software that brings together computer vision and machine learning algorithms that can evaluate and sort plants into desired categories. While one embodiment of the present invention is directed toward strawberry plants, the software engine described is not specifically designed for strawberry plants but can be used for many different types of plants that require sophisticated quality sorting. The present invention is a sequence of software operations that can be applied to various crops (or other objects besides plants) in a re-usable fashion.

Abstract: In one embodiment, a method includes capturing an image of a first organic polarized object using an image capture device. The method also includes collecting a first image data of the first organic polarized object. The method further includes algorithmically calculating a first dimension data based on the first image data. The method further includes generating a first data table of the first dimension data. The method also includes forming a training data set using the first data table. The method also includes computing high vote count data for second organic polarized object using the training data and second dimension data sets to identify precise shape, size, location and orientation. The method further includes calibrating coordinate systems of a robotic end effector with an image capture device and commanding the robotic end effector to pick up and place the second organic polarized object in a precise location and orientation.

Abstract: This disclosure relates to a method and system that models a seed structure and uses a spectral analysis to identify which morphological seed structures are existent in the seed/seedling. Additionally, this disclosure relates to a method and system that applies multi-spectral analysis using predetermined models of a seed/seedling to identify which morphological structures are existent in the seed/seedling. The information about the existence or non-existence of structures of the seed/seedling is used to classify the seed as having a specific characteristic, for later commercial use or sale. The seed market determines which specific characteristic the method will use to classify the seed/seedling. The individual seed classification may help determine associated seed lot germination values.

Abstract: A method of automatically grading beef quality by analyzing a digital image is provided. The method includes: an image acquiring step of acquiring a color image of beef using a CCD camera; a region separating step of separating a lean region from the acquired image; a boundary extracting step of extracting a boundary line of the lean region; a boundary smoothing step of smoothing the boundary line extracted in the boundary extracting step; a boundary correcting step of correcting an indented portion and a protruded portion included in the boundary line having been subjected to the boundary smoothing step; a grading region determining step of determining a grading region on the basis of the boundary line corrected in the boundary correcting step; and a grading step of grading the beef quality on the basis of the image of the grading region.

Abstract: A contactless system and method for estimating the volume, mass or weight of a target animal is provided. First, the target animal is imaged, preferably with a stereoscopic camera. A spatial representation of the target animal is derived from the stereoscopic images. Next, a virtual three-dimensional spatial model is provided, preferably having a shape resembling that of a characteristic of the animal to which the target animal belongs. A software module is provided to reshape the virtual spatial model, using a finite set of independently configurable shape variables, to approximately fit the spatial representation of the individual animal. Finally, the volume, mass or weight of the target animal is estimated as a function of shape variables characterizing the reshaped virtual model.

Abstract: A computer-implemented method for estimating a volume of at least one food item on a food plate is disclosed. A first and second plurality of images are received from different positions above a food plate, wherein angular spacing between the positions of the first plurality of images is greater than angular spacing between the positions of the second plurality of images. A first set of poses of each of the first plurality of images is estimated. A second set of poses of each of the second plurality of images is estimated based on at least the first set of poses. A pair of images taken from each of the first and second plurality of images is rectified based on at least the first and second set of poses. A 3D point cloud is reconstructed based on at least the rectified pair of images. At least one surface of the at least one food item above the food plate is estimated based on at least the reconstructed 3D point cloud. The volume of the at least one food item is estimated based on the at least one surface.

Abstract: A fish identification device comprising a housing; a touchscreen on a front surface of the housing, where the touchscreen enables a user to view and operate a plurality of functions; an internal processor, where the internal processor operates a software; an internal GPS within the housing, where the internal GPS, functioning with the processor, informs the user of a set of fishing regulations pertaining to a location of the housing; a camera within the housing, where the camera includes a camera lens and a flash attached to a back surface of the housing and where said camera enables the user to photograph a fish; an internal memory, where the internal memory saves a plurality of information compiled during use; and a means to upload the plurality of information to a computer, where the means to upload enables the user to save he plurality of information on the computer.

Abstract: A system for diagnosing an object that includes a preset of an object, a visual representation associated with one or more sub objects of at least part of the object, and a module to analyze the applicable visual representation. The visual representation is captured by a device and provides a specified status of the object. Further the analysis provides a measure of fit between the preset and the specified status of the object as captured and is carried out based on keypoint descriptors used to separate sub objects on the applicable visual representation. The device has a reproduction capturing device and data connectivity.

Abstract: A stressor detection system (100) comprises sensor means (101) arranged for being attached to a person for obtaining a time-varying signal representing a physical quantity relating to an environment of the person, and processing means (102) for deriving a stressor value from the obtained signal representing a degree to which the environment is inducing stress in the person. The processing means is arranged for deriving an amount of complexity comprised in the signal, and for deriving a higher stressor value for a larger amount of information. The processing means is further arranged for performing a spectral frequency analysis of the signal and for deriving the stressor value also in dependence on the spectral frequency analysis. The sensor means comprises a microphone (105), a camera (104), and a tri-axial accelerometer.

Abstract: An apparatus, method and system are presented for identifying produce. Multiple images of a produce item captured using five different types of illumination. The captured images are processed to determine parameters of the produce item and those parameters are compared to parameters of known produce to identify the produce item.

Abstract: An apparatus for applying agrochemicals within a geographical area includes a dispensing system configured for dispensing the agrochemicals and a variable rate controller operatively connected to the dispensing system and configured to control dispensement of agrochemicals from the dispensing system. The variable rate controller is programmed with an algorithm which uses a plant growth stage appropriate plug value for an initial calibration. A method for applying agrochemicals within a geographical area includes acquiring a growth stage appropriate plug value for an initial calibration, using the growth state appropriate plug value in the initial calibration, and applying agrochemicals to the geographical area according to the initial calibration.

Abstract: The present invention provides systems and methods to automatically analyze Landsat satellite data of forests. The present invention can easily be used to monitor any type of forest disturbance such as from selective logging, agriculture, cattle ranching, natural hazards (fire, wind events, storms), etc. The present invention provides a large-scale, high-resolution, automated remote sensing analysis of such disturbances.

Abstract: The invention is directed to improving a plants ability to acquire soil resources. Plants that develop a greater amount of aerenchyma will have an improved ability to acquire soil resources and will have greater drought tolerances. Such plants will grow faster and larger than plants that have less aerenchyma. Farmers who plant crops with seeds that will grow into plants have more aerenchyma will be able to reduce the amount of fertilizer used in growing a crop. Accordingly, the invention relates to identifying and breeding a plant with a greater amount of aerenchyma. The identified plant and its progeny will have an improved ability to capture soil resources and will be tolerant to drought.

Abstract: Described herein is a method of monitoring the origin and composition of bioproducts such as biofuels that are the result of mixing more than one type of biofuel, thereby ensuring that a particular bioproduct presents a certain amount of a particular type of each bioproduct with corresponding emissions related data and sustainability.

Abstract: A method of quantitatively obtaining a measurement of pollen of a plant. A quantitative collection of a sample of pollen is counted. Total pollen of the plant can be calculated. One way of quantitative collection of pre-shed pollen involves blending a part of the plant with pollen in the presence of liquid (e.g. water) in a blender. The action of the blender tends to destroy the non-pollen parts of the plant and release the pollen into the liquid. Extraction of the pollen from the blender can be through a sidewall port that includes a filter or sieve having a mesh size that passes relevant pollen but blocks most non-pollen plant parts. The sample can be efficiently prepared for counting of pollen. One method of counting comprises imaging the sample with the pollen well distributed in the focal plane of the imager.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: A digital image of a target object is received and the image includes a plurality of pixels. The target object is at least a portion of an animal, and the portion of the animal is disposed in the image according to a predetermined disposition. The weight of the animal is determined using the model and at least one characteristic. At least some of the pixels of the image of animal are analyzed to determine at least one characteristic of the image of the animal. The weight of the animal is determined using the at least one characteristic.

Abstract: In an exemplary embodiment, a system includes a first camera, a second camera, and a processor wherein the second camera has a higher resolution than the first camera. The processor is communicatively coupled to the first camera and the second camera and is operable to determine a center coordinate of an udder of a dairy livestock based at least in part upon visual data captured by the first camera. The processor is also operable to determine a position of a teat of the dairy livestock based at least in part upon the center coordinate and visual data captured by the second camera.

Abstract: In an exemplary embodiment, a system includes a camera and a processor communicatively coupled to the camera. The processor is operable to access visual data captured by the camera, wherein the visual data comprises an image of a dairy livestock and determine that an intensity measurement of a first portion of the visual data exceeds an intensity threshold. The processor is further operable to filter the first portion of the visual data in response to determining that the intensity measurement exceeds the threshold.

Abstract: In an exemplary embodiment, a system includes a three-dimensional camera and a processor communicatively coupled to the three-dimensional camera. The processor is operable to determine a first edge of a dairy livestock, determine a second edge of the dairy livestock, determine a third edge of the dairy livestock, and determine a fourth edge of the dairy livestock.

Abstract: In an exemplary embodiment, a system includes a three-dimensional camera and a processor. The processor is operable to access a first portion of visual data captured by the three-dimensional camera wherein the visual data comprises an image of a dairy livestock and access a second portion of the visual data, wherein the first portion and the second portion are aligned in a first dimension. The processor is further operable to determine a first coordinate, wherein the first coordinate comprises a location of the first portion in a second dimension, the second dimension orthogonal to the first dimension and determine a second coordinate, wherein the second coordinate comprises a location of the second portion in the second dimension. The processor is further operable to determine a first distance exceeds a distance threshold, wherein the first distance is the distance between the first coordinate and the second coordinate in the second dimension.

Abstract: The present invention relates to an x-ray detector configured to generate one-dimensional x-ray density profiles. In exemplary embodiments the x-ray detector is used for the purpose of detecting inclusions in agricultural commodities.

Abstract: The present invention is a method to detect defects in a process producing a food product by utilizing multivariate image analysis. In one aspect, an image is captured of the food product in the visible spectrum by on-line vision equipment, multivariate image analysis is performed on the image via an algorithm programmed onto a field programmable gate array to determine if a defect exists, a signal is sent to downstream sorting equipment, and the sorting equipment then rejects those food products that contain defects.

Abstract: In one embodiment, a three dimensional imaging system includes a portable housing configured to be carried by a user, microelectrical mechanical system (MEMS) projector supported by the housing sensor supported by the housing and configured to detect signals emitted by the MEMS projector, a memory including program instructions for generating an encoded signal with the MEMS projector, emitting the encoded signal, detecting the emitted signal after the emitted signal is reflected by a body, associating the detected signal with the emitted signal, comparing the detected signal with the associated emitted signal, determining an x-axis dimension, a y-axis dimension, and a z-axis dimension of the body based upon the comparison, and storing the determined x-axis dimension, y-axis dimension, and z-axis dimension of the body, and a processor operably connected to the memory, to the sensor, and to the MEMS projector for executing the program instructions.

Abstract: A scalable video bitstream may have an H.264/AVC compatible base layer (BL) and a scalable enhancement layer (EL), where scalability refers to color bit depth. The H.264/AVC scalability extension SVC provides also other types of scalability, e.g. spatial scalability where the number of pixels in BL and EL are different. According to the invention, BL information is upsampled (TUp,BDUp) in two logical steps in adaptive order, one being texture upsampling and the other being bit depth upsampling. Texture upsampling is a process that increases the number of pixels, and bit depth upsampling is a process that increases the number of values that each pixel can have, corresponding to the pixels color intensity. The upsampled BL data are used to predict the collocated EL. A prediction order indication is transferred so that the decoder can upsample BL information in the same manner as the encoder, wherein the upsampling refers to spatial and bit depth characteristics.

Abstract: A system, method and device for grading of meat such as bovine, porcine, sheep, horse or poultry meat among others. The device of this invention is a portable tool, which is approached toward a meat specimen to be analyzed and captures an image. The device then objectively relates the image to meat quality parameters by means of an image analyzing method. The device and method solve, in a practical, fast and satisfactory way, the problem of determining meat quality parameters such as texture, color, and contained intramuscular fat percentage.

Abstract: A method, information processing system, and computer program storage product apply agrochemicals to plants. A set of user defineable agrochemical application parameters are wirelessly received from a user. A set of data is received from a multiplicity of plant sensors. The set of data includes at least positional data associated with a multiplicity of plants with respect to a set of agrochemical applicators. At least speed data associated with a vehicle coupled to the set of agrochemical applicators is received. The set of agrochemical applicators is instructed to apply one or more agrochemicals to at least one plant in the multiplicity of plants based at least on the set of user defineable agrochemical application parameters that has been wirelessly received, the set of data from a multiplicity of plant sensors, and the speed data. The set of agrochemical applicators apply the one or more agrochemicals to at least one plant.

Abstract: A false color composite image is created by assigning mid infrared data from three time-spaced images of an area of interest to corresponding RGB color components for the false color composite image. The RGB color components for the false color composite image are then converted into color space data and classified into a number of color classes. An age is assigned to the color classes to create a classified image of age classes of the area of interest.

Abstract: An apparatus and method for sorting plant material based on the presence or absence of a visual marker on the plant material. The visible marker may be a visible genetic color marker in the corn seed which is used in double haploid breeding. The absence or presence of the visible marker identifies correctly pollinated seeds as well as putative haploid seeds.

Abstract: A method of quantitatively obtaining a measurement of pollen of a plant. A quantitative collection of a sample of pollen is counted. Total pollen of the plant can be calculated. One way of quantitative collection of pre-shed pollen involves blending a part of the plant with pollen in the presence of liquid (e.g. water) in a blender. The action of the blender tends to destroy the non-pollen parts of the plant and release the pollen into the liquid. Extraction of the pollen from the blender can be through a sidewall port that includes a filter or sieve having a mesh size that passes relevant pollen but blocks most non-pollen plant parts. The sample can be efficiently prepared for counting of pollen. One method of counting comprises imaging the sample with the pollen well distributed in the focal plane of the imager.

Abstract: A portable fluorescence and transmittance imaging spectroscopy system for use in diagnosing plant health.

Abstract: The method and apparatus for estimating the tenderness of meat comprises scanning a sample of meat through an x-ray beam; detecting or measuring the transmitted x-ray radiation through the meat sample; relating the transmitted x-ray radiation to a characteristic of the shear force of the meat sample; and assessing the tenderness of the meat sample from the characteristic of the shear force.

Abstract: In certain embodiments, a system includes a controller operable to access an image signal generated by a camera. The accessed image signal corresponds to one or more features of the rear of a dairy livestock. The controller is further operable to determine positions of each of the hind legs of the dairy livestock based on the accessed image signal. The controller is further operable to determine a position of an udder of the dairy livestock based on the accessed image signal and the determined positions of the hind legs of the dairy livestock. The controller is further operable to determine, based on the image signal and the determined position of the udder of the dairy livestock, a spray position from which a spray tool may apply disinfectant to the teats of the dairy livestock.

Abstract: A system for animal identification includes: an image capture apparatus for obtaining an image of an eye of an animal including a pupil region and an iris region; and a template generation apparatus. The template generation apparatus is for: extracting a set of pixel data from the image, the set of pixel data representing an upper region of interest of the iris region above the pupil region and a lower region of interest of the iris region below the pupil region, the upper region of interest and the lower region of interest have parallel side boundaries that are spaced apart a distance that is substantially independent of a degree of dilation of the pupil region; and transforming the set of pixel data representing the upper region of interest and the lower region of interest into a template of the upper region of interest and the lower region of interest.

Abstract: In certain embodiments, a system includes a three-dimensional camera and a processor communicatively coupled to the three-dimensional camera. The processor is operable to determine a first hind location of a first hind leg of a dairy livestock based at least in part on visual data captured by the three-dimensional camera and determine a second hind location of a second hind leg of the dairy livestock based at least in part on the visual data. The processor is further operable to determine a measurement, wherein the measurement is the distance between the first hind location and the second hind location. Additionally, the processor is operable to determine whether the measurement exceeds a minimum threshold.

Abstract: A method for determining the boundary between abutting food product in a food processing system uses scan data of the food product to identify a perimeter of the abutting food product. Optionally, data from scanning the food product is first tested to determine or predict if more than one article is present. A perimeter of the abutting food product is generated from the scan data, and the perimeter information is manipulated to identify or estimate the boundary between the product. For example, the boundary may be eroded until it separates into two portions. The two portions are then expanded, constrained by the original perimeter, such that a region of interest includes overlapping portion that includes the boundary. The region of interest is analyzed to locate the boundary. In another method, a parametric shape is fit to the image to identify the individual articles. In another method, a shortest line or surface separating the perimeter into two substantial portions is found.

Abstract: The present invention provides a complete artificial intelligence system for the acquisition and analysis of nucleic acid array hybridization information. The system includes a central data processing facility and one or more user facilities, linked by encrypted connections. Each user facility may include an optical scanning system to collect hybridization signals from a nucleic acid array, an image processing system to convert the optical data into a set of hybridization parameters, a connection to a data network, and a user interface to display, manipulate, search, and analyze hybridization information. This system reads data from a nucleic acid microarray, analyzes test results, evaluates patient risk for various ailments, and recommends methods of treatment. The automated artificial intelligence system is a real time, dynamic decision making tool that can be used in conjunction with a clinical analysis system, and with the information obtained in a research and development environment.