A method according to an embodiment includes receiving, at one or more processors, satellite image data, temperature measurement data, precipitation measurement data, and one or more agronomic parameters, associated with an agricultural land segment. The method also includes predicting, using the one or more processors and a first neural network, a biomass value associated with the agricultural land segment. The method also includes predicting, using the one or more processors and a second neural network, a sugar content value associated with the agricultural land segment. The method also includes predicting, using the one or more processors, a total sugar value associated with the agricultural land segment. Optionally, the method also includes optimizing harvest dates for a plurality of agricultural land segments that includes the agricultural land segment, based on one or more constraints.
A method according to an embodiment includes receiving, at one or more processors, satellite image data, temperature measurement data, precipitation measurement data, and one or more agronomic parameters, associated with an agricultural land segment. The method also includes predicting, using the one or more processors and a first neural network, a biomass value associated with the agricultural land segment. The method also includes predicting, using the one or more processors and a second neural network, a sugar content value associated with the agricultural land segment. The method also includes predicting, using the one or more processors, a total sugar value associated with the agricultural land segment. Optionally, the method also includes optimizing harvest dates for a plurality of agricultural land segments that includes the agricultural land segment, based on one or more constraints.
The present invention relates to a method of identifying a soil-borne pathogen on a target crop in an agricultural parcel, comprising the steps of: obtaining a first digital image of the agricultural parcel in a first crop cycle, wherein in the first crop cycle the target crop is grown in the agricultural parcel; obtaining a reference digital image of the agricultural parcel in a reference crop cycle, wherein in the reference crop cycle a reference crop is grown in the agricultural parcel and wherein the reference crop is different from the target crop; computing a first vegetation index related to a first pixel in the first digital image, determining a first signed distance between the first pixel and surrounding pixels thereof based on the first vegetation index, and detecting a first anomaly of the first pixel if the first signed distance is below a predefined threshold; defining a reference anomaly for a reference pixel of the reference digital image; and identifying the soil-borne pathogen of the first pixel in case the first anomaly does not match the reference anomaly.
A system for computational imaging spectroscopy to provide compact and lightweight design, as well as large field of view of an object to be captured. The system includes imaging components, and computational device. The imaging components includes lens assembly, a fixed or variable-diameter aperture, spectral filter array and imaging sensor. The lens assembly provides wide angle of view, image-side telecentricity, and further may correct for longitudinal chromatic aberrations. The lens assembly may not provide correction of lateral chromatic aberrations. Furthermore, the lens assembly provides image-space telecentricity so as to chief rays are incident perpendicular to image sensor. The lens assembly may produce different chromatic aberrations pattern for each wavelength within the spectral range of interest. The pass-band nanofilter array is configured to filter a plurality of specific bands of light reflected from the imaged object and further produces a plurality of spatio-spectral samples of the imaged object projected onto the photosensitive pixels of imaging sensor. The computational device reconstructs complete spectral cube within the spectral range of interest, and further enables the computation of object reflectance at each pixel of the captured image from the plurality of spatio-spectral samples registered by the imaging sensor.
A plant system (100), comprising a plurality of plants (102) in a substrate (101); a mycorrhizal fungal community (104) in the substrate arranged to form a biological interface with roots of the plants enabling an exchange of chemical substances between the fungus and the plurality of plants; and at least a sensor (207), which interfaces with said mycorrhizal fungal community and is configured to collect sensory information about a physiological condition and phenotypic state of said plurality of plants.
A system for computational imaging spectroscopy to provide compact and lightweight design, as well as large field of view of an object to be captured. The system includes imaging components, and computational device. The imaging components includes lens assembly, a fixed or variable-diameter aperture, spectral filter array and imaging sensor. The lens assembly provides wide angle of view, image-side telecentricity, and further may correct for longitudinal chromatic aberrations. The lens assembly may not provide correction of lateral chromatic aberrations. Furthermore, the lens assembly provides image-space telecentricity so as to chief rays are incident perpendicular to image sensor. The lens assembly may produce different chromatic aberrations pattern for each wavelength within the spectral range of interest. The pass-band nanofilter array is configured to filter a plurality of specific bands of light reflected from the imaged object and further produces a plurality of spatio-spectral samples of the imaged object projected onto the photosensitive pixels of imaging sensor. The computational device reconstructs complete spectral cube within the spectral range of interest, and further enables the computation of object reflectance at each pixel of the captured image from the plurality of spatio-spectral samples registered by the imaging sensor.
The present disclosure relates to methods and devices for a systemic approach to plant-based ecosystem management, including for juxtaposing, processing, organising, and visualizing data relevant to plant- based ecosystems, such as agricultural ecosystems, and delineating external interventions into such systems, such as human interventions, including those with automated machines. Recognizing the time-based— for example, seasonal—nature of plant-based ecosystems, this invention ) juxtaposes relevant—but often previously dispersed—data types, 2) organizes them in tensors of customizable dimensions so as to facilitate modeling and in particular deep neural network and other deep machine learning and artificial intelligence approaches that take into account time- based, or other variable-based, changes to identify areas of interest within given land parcels, and 3) visualizes the data so as to highlight time-based, or other variable-based, relationships and trends. Such steps facilitate the development of individual plant or sub-land-parcel prescriptions for human intervention aimed at optimizing ecosystem output traits in the current season while considering their impact on subsequent seasons, thereby enabling the systematic management of plant-based ecosystems.
09 - Scientific and electric apparatus and instruments
16 - Paper, cardboard and goods made from these materials
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Measuring apparatus and instruments, scientific, surveying,
photographic, cinematographic, optical apparatus and
instruments; video cameras (digital), digital photographic
cameras, infrared cameras, hyperspectral imaging cameras,
digital sensors (measuring apparatus), infrared sensors
(measuring apparatus), hyperspectral sensors (measuring
apparatus), image recording, transmission or reproduction
apparatus and instruments; printers for digital photographic
cameras, printers for sensors (measuring apparatus); data
processing equipment, computers; software containing printed
matter and user manuals for computers and software;
software; recorded software; data carriers for providing
information on line, via a computer or a network, including
the Internet; downloadable electronic data; data banks,
namely equipment and software for data organization,
recording and recovery. Instructional or teaching material (except apparatus for
quality management); printed matter of all kinds, such as
texts, graphics, photographic images, illustrations, display
boards and posters. Scientific and technological services and research and
design relating thereto; industrial analysis and research
services; scientific analyses and interpretations of remote
sensing data, particularly relating to agriculture; software
as a service (SaaS) for analysis of remote sensing data,
particularly for agriculture; software as a service (SaaS)
for interpreting remote sensing data, particularly for
agriculture; provision of scientific remote sensing data,
particularly in connection with agriculture, agricultural
products and for agricultural soils; computer services for
installation and maintenance of networks and databases,
particularly for remote sensing data for agriculture,
agricultural soils and agricultural products; provision of
computer data, of information relating to computer programs
and related information; all the above-mentioned services on
a site, assisted by camera, assisted by computer, on line or
via network, including on the Internet; scientific
collection and analysis of remote sensing data, particularly
in the field of agriculture, agricultural soils and
agricultural products; monitoring of agricultural production
(quality control services), agricultural diagnostic services
(testing and analysis) and assistance in decision-making
relating thereto. Agricultural services.
09 - Scientific and electric apparatus and instruments
16 - Paper, cardboard and goods made from these materials
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Measuring, scientific, surveying, photographic, cinematographic, and optical apparatus and instruments, namely, cameras; digital video cameras, digital photographic cameras, infrared cameras, hyperspectral imaging cameras, digital sensors for analyzing soil, monitoring crop growth, detecting crop diseases and pests, detecting weeds, monitoring the environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors, and for diagnosing crop nutrient deficiency and predicting the yield, infrared sensors for analyzing soil, monitoring crop growth, detecting crop diseases and pests, detecting weeds, monitoring the environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors, and for diagnosing crop nutrient deficiency and predicting the yield, hyperspectral sensors for analyzing soil, monitoring crop growth, detecting crop diseases and pests, detecting weeds, monitoring the environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors, and for diagnosing crop nutrient deficiency and predicting the yield, image recording, transmission or reproduction apparatus and instruments; photo printers for digital photographic cameras, thermal printers for sensors; data processing equipment, computers; software containing downloadable printed matter and user manuals for computers and software, namely, software for processing the data from the sensors and providing analytics about the soil, crop growth, crop diseases and pests, weeds, crop nutrient deficiency, crop yield prediction, monitoring of environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors; software for processing the data from the sensors and providing analytics about the soil, crop growth, crop diseases and pests, weeds, crop nutrient deficiency, crop yield prediction, monitoring of environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors; recorded software for processing the data from the sensors and providing analytics about the soil, crop growth, crop diseases and pests, weeds, crop nutrient deficiency, crop yield prediction, monitoring of environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors; blank magnetic data carriers for providing information on line, via a computer or a network, including the Internet; downloadable electronic data featuring analysis about soil, crop growth, crop diseases and pests, weed alerts, crop nutrient deficiencies, crop yield prediction, the environment, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors; data banks, namely, computer hardware equipment and software for data organization, recording and recovery [ Printed instructional and teaching material, except apparatus, for quality management; printed matter of all kinds, namely, texts in the nature of books, magazines, brochures, pamphlets, and newspapers in the fields of agriculture, soil analysis, crop growth, detected crop diseases and pests, weed alerts, diagnosed crop nutrient deficiencies, yield predictions, environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors, graphics in the nature of graphic prints, photographic images, illustrations, display poster boards and posters ] Scientific and technological services, namely, analysis of soil, monitoring of crop growth, detection of crop diseases and pests, detection of weeds, diagnosis of crop nutrient deficiency, prediction of the yield, detection of environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors, and scientific research and design relating thereto; industrial analysis and scientific research services in the fields of agriculture, analysis of soil, monitoring of crop growth, detection of crop diseases and pests, detection of weeds, diagnosis of crop nutrient deficiency, prediction of the yield, detection of environmental stresses and mechanical damages, namely, soil erosion, drought, and planting error; scientific analyses and interpretations of remote sensing data, particularly relating to agriculture; software as a service (SaaS), namely, software for analysis of remote sensing data, particularly for agriculture; software as a service (SaaS), namely, software for interpreting remote sensing data, particularly for agriculture; scientific research namely, provision of scientific remote sensing data, particularly in connection with agriculture, agricultural products and for agricultural soils; computer services for installation and maintenance of computer software networks and databases, particularly for remote sensing data for agriculture, agricultural soils and agricultural products; provision of computer data in the nature of electronic data storage featuring electronic data, namely, maps, tables, and reports, and the collection of data from a sensor camera, so as to process and store it on a computer, with respect to information relating to computer programs and related computer information; all the above-mentioned services provided on a website, assisted by camera, assisted by computer, on line or via network, including on the Internet; scientific collection and analysis of remote sensing data, particularly in the field of agriculture, agricultural soils and agricultural products; monitoring of agricultural production for quality control purposes, agricultural diagnostic services, namely, agricultural testing and analysis for analysis of soil, monitoring of crop growth, detection of crop diseases and pests, detection of weeds, diagnosis of crop nutrient deficiency, prediction of the yield, detection of environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors, and advisory assistance in decision-making relating thereto Agricultural advice services, namely, providing recommendations regarding soil analysis, crop growth analysis, detection of crop diseases and pests, weed alerts, diagnosis of crop nutrient deficiencies and yield predictions, monitoring of environmental stresses and mechanical damages, namely, soil erosion, drought, and planting errors
