Platform for real-time identification and resolution of spatial production anomalies in agriculture
Inventors
Stewart, Gregory E. • Fuxman, Adrian M. • Mendoza, Lino E. Coria • Miresmailli, Saber • Christensen, Allison Marie
Assignees
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Publication Number
US-12131393-B2
Publication Date
2024-10-29
Expiration Date
Abstract
A method includes obtaining data measurements associated with plants in at least one growing area. The data measurements are associated with one or more characteristics of the plants and one or more characteristics of the at least one growing area. The method also includes processing at least some of the data measurements to identify one or more anomalous plant production issues associated with the plants. At least one anomalous plant production issue is associated with uneven production by the plants in at least part of the at least one growing area. The method further includes generating at least one visualization presenting at least some of the data measurements or processed versions of at least some of the data measurements in a spatial manner that corresponds to the at least one growing area. The at least one visualization identifies information associated with the one or more anomalous plant production issues.
Core Innovation
The invention provides an apparatus and method for real-time identification of anomalous plant production issues associated with plants in at least one growing area. Data measurements associated with plants and characteristics of the plants and characteristics of the growing area are obtained, and at least some of the data measurements are processed to identify one or more anomalous plant production issues associated with uneven production by the plants in at least part of the growing area.
The invention generates visualizations that present data measurements or processed versions of data measurements in a spatial manner that corresponds to the growing area. The visualization identifies information associated with the anomalous plant production issues and includes a first visualization with a spatial map showing values of a specific characteristic of the plants in the growing area, and a second visualization displayed adjacent to the first visualization.
In response to receiving multiple selections of first graphical user interface elements, the invention generates second graphical user interface elements within the spatial map identifying the selected areas. The invention populates third graphical user interface elements displayed within the second visualization with data associated with each selected area, where the data associated with each selected area is displayed simultaneously to permit comparison of different parts of the growing area.
The described system also includes applications for presenting genotype and phenotype condition identification and anomaly information, including presentation of anomaly information through an AR/MR wearable headset. Additional modeling and analytics are described for pest and disease or biocontrol spread using spatiotemporal models, and for recommendations and actions with spatially varying control within the growing area.
Claims Coverage
The document provides three independent claims: apparatus, non-transitory computer readable medium, and method. Each independent claim contains a shared core set of inventive features focused on spatial anomaly identification for uneven plant production and interactive, map-linked visualization with adjacent comparison.
Spatial anomaly detection of uneven plant production
Process at least some of the data measurements to identify one or more anomalous plant production issues associated with the plants, wherein at least one of the one or more anomalous plant production issues is associated with uneven production by the plants in at least part of the at least one growing area.
Spatial map visualization with adjacent comparison
Generate at least one visualization presenting at least some of the data measurements or processed versions of at least some of the data measurements in a spatial manner that corresponds to the at least one growing area, wherein the at least one visualization identifies information associated with the one or more anomalous plant production issues and includes a first visualization that includes a spatial map showing values of a specific characteristic of the plants in the at least one growing area and a second visualization displayed adjacent to the first visualization.
User-selectable map regions and simultaneous comparison
Receive multiple selections of first graphical user interface elements displayed within multiple areas of the spatial map selecting the multiple areas of the spatial map from a user; in response to receiving the multiple selections, generate second graphical user interface elements displayed within the spatial map identifying the selections of the multiple areas of the spatial map; and populate third graphical user interface elements displayed within the second visualization with data associated with each of the multiple selected areas of the spatial map, wherein the data associated with each of the multiple selected areas of the spatial map is displayed simultaneously in the second visualization to permit comparison of different parts of the at least one growing area.
Instructions on a non-transitory computer readable medium to perform spatial anomaly detection and visualization
A non-transitory computer readable medium containing instructions that when executed cause at least one processor to obtain data measurements associated with plants in at least one growing area, process at least some of the data measurements to identify one or more anomalous plant production issues associated with the plants, generate at least one visualization as a spatial map with a second adjacent visualization, receive multiple selections of graphical user interface elements selecting multiple areas, and in response generate second graphical user interface elements and populate third graphical user interface elements to display simultaneously data for the selected areas to permit comparison.
Method for interactive spatial anomaly visualization with map-linked simultaneous comparison
Obtain data measurements associated with plants in at least one growing area; process at least some of the data measurements to identify one or more anomalous plant production issues associated with the plants, wherein at least one anomalous plant production issue is associated with uneven production; generate at least one visualization with a first spatial map and a second visualization displayed adjacent; receive multiple selections of graphical user interface elements selecting multiple areas; and in response generate second graphical user interface elements and populate third graphical user interface elements within the second visualization with data associated with each selected area, displayed simultaneously to permit comparison.
Across the independent claims, the inventive coverage is directed to obtaining plant- and growing-area-associated measurements, processing them to identify anomalous plant production issues including uneven production, and generating spatial visualizations with an adjacent comparison view plus interactive map region selection that enables simultaneous comparison of multiple parts of the growing area.
Stated Advantages
Permits comparison of different parts of the at least one growing area by displaying simultaneously data associated with multiple selected areas in the second visualization.
Provides visualizations that identify information associated with anomalous plant production issues by presenting data measurements spatially corresponding to the growing area.
Documented Applications
Real-time identification and resolution of spatial production anomalies associated with uneven production by plants in at least part of a growing area.
Genotype and phenotype condition identification and presentation of anomaly information via AR/MR wearable headsets.
Modeling and visualization for pest/disease or biocontrol spread using spatiotemporal models.
Presentation of anomaly information and generation of spatial visualizations to support interactive zone selection and diagnosis in agriculture.
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