Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.
H04N 25/131 - Agencement de matrices de filtres colorés [CFA]Mosaïques de filtres caractérisées par les caractéristiques spectrales des éléments filtrants comprenant des éléments laissant passer les longueurs d'onde infrarouges
G01C 11/02 - Dispositions de prises de vues spécialement adaptées pour la photogrammétrie ou les levers photographiques, p. ex. pour commander le recouvrement des photos
G06T 3/4038 - Création de mosaïques d’images, p. ex. composition d’images planes à partir de sous-images planes
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
Methods of creating and using digital twins of vegetation / crops in relation to their growing environments. Some embodiments include creating a digital twin of the growing environment using sensor data from a subsurface sensor suite, creating a digital twin of the vegetation crop using data from an overhead sensor suite, and using at least one mathematical model to relate the digital twin of the crop to the digital twin of the growing environment. In some embodiments, the mathematical model(s) implement a root cause analysis that uses a limiting factor approach. In some embodiments, the subsurface sensor suite is on a multi-sensor soil probe. In some embodiments, the multi-sensor soil probe comprises a video microscope, a tip stress sensor, a sleeve stress sensor, and a volumetric- water-content sensor. Other related systems, devices, methods, and software are also disclosed.
G01N 21/359 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge en utilisant la lumière de l'infrarouge proche
G01N 21/3563 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge pour l'analyse de solidesPréparation des échantillons à cet effet
G02B 6/04 - Guides de lumièreDétails de structure de dispositions comprenant des guides de lumière et d'autres éléments optiques, p. ex. des moyens de couplage formés par des faisceaux de fibres
Subject soils are classified using a sensing tool. By profiling each of a number of first locations that have a ground truth classification, using a deployed sensing tool, digital soil properties of new locations without ground truth classifications can obtained to determine corresponding classifications for the new locations. This allows information related classifications to be utilized for optimal used of the new locations.
Fiber-optic bundles for infrared spectral analysis of media. The fiber-optic bundles can be used in infrared probes configured to be inserted in media for in-situ characterization of the media. The fiber-optic bundles can include a plurality of optical fibers arranged in a spatial pattern at a sampling end of the bundle to improve a signal of infrared spectral measurements. In-situ probes of the present disclosure can be used for precision farming practices to improve soil health and increase crop yields.
G02B 6/04 - Guides de lumièreDétails de structure de dispositions comprenant des guides de lumière et d'autres éléments optiques, p. ex. des moyens de couplage formés par des faisceaux de fibres
G01J 3/02 - SpectrométrieSpectrophotométrieMonochromateursMesure de la couleur Parties constitutives
G01J 3/10 - Aménagements de sources lumineuses spécialement adaptées à la spectrométrie ou à la colorimétrie
Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.
H04N 25/131 - Agencement de matrices de filtres colorés [CFA]Mosaïques de filtres caractérisées par les caractéristiques spectrales des éléments filtrants comprenant des éléments laissant passer les longueurs d'onde infrarouges
G01C 11/02 - Dispositions de prises de vues spécialement adaptées pour la photogrammétrie ou les levers photographiques, p. ex. pour commander le recouvrement des photos
G06T 3/4038 - Création de mosaïques d’images, p. ex. composition d’images planes à partir de sous-images planes
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.
G01C 11/02 - Dispositions de prises de vues spécialement adaptées pour la photogrammétrie ou les levers photographiques, p. ex. pour commander le recouvrement des photos
Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.
H04N 25/131 - Agencement de matrices de filtres colorés [CFA]Mosaïques de filtres caractérisées par les caractéristiques spectrales des éléments filtrants comprenant des éléments laissant passer les longueurs d'onde infrarouges
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement
G01C 11/02 - Dispositions de prises de vues spécialement adaptées pour la photogrammétrie ou les levers photographiques, p. ex. pour commander le recouvrement des photos
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
A probe for penetrating and measuring electrical properties of a soil comprises a probe tip connected, via a coaxial cable, to electrical circuitry. The probe tip is convex and includes first and second electrodes with an electrode insulator therebetween. The first electrode is tubular and includes an interior surface defining a central opening extending through the first electrode. The second electrode includes a convex section extending away from the first electrode, and the convex section is configured for insertion into soil. The one end of the coaxial cable is disposed within the central opening of the first electrode, and the inner conductive core of one end of the coaxial cable connected to the second electrode, and the conductive shield of the one end of the coaxial cable connected to the first electrode.
G01N 27/22 - Recherche ou analyse des matériaux par l'emploi de moyens électriques, électrochimiques ou magnétiques en recherchant l'impédance en recherchant la capacité
A probe for penetrating and measuring electrical properties of a soil comprises a probe tip (200) connected, via a coaxial cable (130), to electrical circuitry. The probe tip (200) is convex and includes first and second electrodes (10, 30) with an electrode insulator (20) therebetween. The first electrode is tubular and includes an interior surface defining a central opening extending through the first electrode. The second electrode includes a convex section extending away from the first electrode, and the convex section is configured for insertion into soil. The one end of the coaxial cable is disposed within the central opening (28) of the first electrode, and the inner conductive core of one end of the coaxial cable connected to the second electrode, and the conductive shield of the one end of the coaxial cable connected to the first electrode.
Subject soils are classified using a sensing tool. By profiling each of a number of first locations that have a ground truth classification, using a deployed sensing tool, digital soil properties of new locations without ground truth classifications can be obtained to determine corresponding classifications for the new locations. This allows information related to classifications to be utilized for optimal use of the new locations.
An in situ near infrared sensing unit includes a housing allowing the sensing unit to be inserted in a variety of media. A transparent window is formed in the sidewall of the housing. A sensing element is mounted inside the housing. The sensing element is configured to emit near infrared light provided from a light source external to the housing, and the sensing element is configured to collect near infrared light transmitted through the transparent window. A mirror is mounted in the housing at an angle with respect to the transparent window and opposite the sensing element. The angle allows the mirror to reflect the near infrared light, emitted by the sensing element, through the transparent window.
G01N 21/359 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge en utilisant la lumière de l'infrarouge proche
G01N 21/3563 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge pour l'analyse de solidesPréparation des échantillons à cet effet
12.
IN-SITU NEAR INFRARED SENSOR UNIT AND METHOD OF MAKING THE SAME
An in situ near infrared sensing unit includes a housing allowing the sensing unit to be inserted in a variety of media. A transparent window is formed in the sidewall of the housing. A sensing element is mounted inside the housing. The sensing element is configured to emit near infrared light provided from a light source external to the housing, and the sensing element is configured to collect near infrared light transmitted through the transparent window. A mirror is mounted in the housing at an angle with respect to the sensing element and opposite the sensing element and the transparent window. The angle allows the mirror to reflect the near infrared light, emitted by the sensing element, through the transparent window.
G01N 21/85 - Analyse des fluides ou solides granulés en mouvement
G01N 21/359 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge en utilisant la lumière de l'infrarouge proche
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterization of a physical site. One of the methods includes obtaining, for each of one or more physical locations corresponding to a respective coordinate at a surface of a growing medium at the locations, sensor data comprising a sensor profile generated from measurements taken by each of a plurality of sensors on a sensor unit passing through the respective coordinate at a plurality of different depth levels within the growing medium at the location; providing the sensor data as input to one or more probabilistic models configured to receive the sensor data comprising the respective sensor profiles to predict one or more characteristics of the growing medium at each of the physical locations; and obtaining, as output from the one or more probabilistic models, the one or more predicted characteristics for each physical location.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterization of a physical site. One of the methods includes obtaining, for each of one or more physical locations corresponding to a respective coordinate at a surface of a growing medium at the locations, sensor data comprising a sensor profile generated from measurements taken by each of a plurality of sensors on a sensor unit passing through the respective coordinate at a plurality of different depth levels within the growing medium at the location; providing the sensor data as input to one or more probabilistic models configured to receive the sensor data comprising the respective sensor profiles to predict one or more characteristics of the growing medium at each of the physical locations; and obtaining, as output from the one or more probabilistic models, the one or more predicted characteristics for each physical location.
G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
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