Multi-sensor platform for crop health monitoring
Inventors
Miresmailli, Saber • ISMAN, Murray B. • ANTIKCHI, Maryam
Assignees
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Publication Number
US-12111301-B2
Publication Date
2024-10-08
Expiration Date
Abstract
A method includes receiving sensor data pertaining to each of multiple plants in a growing area from a mobile sensory platform that includes (i) a propulsion system configured to move the mobile sensory platform along a ground of the growing area and (ii) multiple sensors configured to capture the sensor data associated with the multiple plants. The method also includes processing the sensor data using a predictive model to identify one or more issues affecting at least one of the plants. The method further includes generating a graphical user interface that includes a graphical representation of the growing area. In addition, the method includes identifying, using one or more markers in the graphical representation of the growing area, one or more locations of the at least one of the plants having the one or more issues. The sensor data includes information about a three-dimensional structure of each of the plants.
Core Innovation
The invention relates to receiving sensor data pertaining to each of multiple plants in a growing area from a mobile sensory platform that includes a propulsion system configured to move within the growing area and multiple sensors configured to capture the sensor data associated with the multiple plants. The sensor data includes at least some sensor data related to a three-dimensional (3D) structure of each of the plants, and the sensor data may further include microclimate sensor data based on microclimates around individual ones of the multiple plants.
The invention processes the sensor data using a predictive model in order to identify one or more issues affecting each of at least one of the plants. The predictive model is generated using previously-obtained sensor data associated with other plants that performed well over time, where the one or more issues affecting the at least one of the plants comprises the at least one of the plants having at least one plant-related parameter that deviates from at least one plant-related parameter of the other plants that performed well over time.
The invention generates a graphical user interface that includes a graphical representation of the growing area identifying individual rows in the growing area. The invention identifies, using one or more markers in the graphical representation, one or more of the plants having the one or more issues, where each marker is positioned along an individual row at a location of the associated plant and is selectable by a user; in response to a selection of a specified marker, the invention presents information related to the plant associated with the specified marker, including information identifying the one or more issues affecting that plant.
Claims Coverage
The independent claims (three) cover a mobile-sensor, predictive-model method that identifies plant issues from sensor data, including 3D structure and optionally microclimate sensor data, and presents the results in a marker-based graphical user interface mapped to rows in a growing area. Across the independent claims, the core inventive features include receiving sensor data from a mobile sensory platform with propulsion and multiple sensors, predictive-model processing to identify plant issues, and selectable row-based markers in a GUI that present issue-related information.
Mobile sensory platform receiving sensor data for multiple plants
Receiving, using at least one processor, sensor data pertaining to each of multiple plants in a growing area, the sensor data received from a mobile sensory platform that includes a propulsion system configured to move the mobile sensory platform within the growing area and multiple sensors configured to capture the sensor data associated with the multiple plants.
Predictive model to identify issues affecting plants
Processing the sensor data using a predictive model in order to identify one or more issues affecting each of at least one of the plants.
Row-based graphical user interface with selectable markers
Generating a graphical user interface that includes a graphical representation of the growing area, the graphical representation identifying individual rows in the growing area, identifying one or more of the at least one of the plants having the one or more issues using one or more markers positioned along the individual rows at the location of the associated plant, receiving a selection of a specified marker among the one or more markers from the user, and in response to the selection of the specified marker, presenting information related to the plant associated with the specified marker in the graphical user interface, the information identifying the one or more issues affecting the plant associated with the specified marker.
3D plant structure sensor data
Wherein at least some of the sensor data relates to a three-dimensional (3D) structure of each of the plants.
3D plant structure and microclimate sensor data
Wherein at least some of the sensor data relates to a three-dimensional (3D) structure of each of the plants and microclimate sensor data based on microclimates around individual ones of the multiple plants.
Issues as deviations from parameters of other plants that performed well over time
Wherein the predictive model is generated using previously-obtained sensor data associated with other plants that performed well over time, and wherein the one or more issues affecting the at least one of the plants comprises the at least one of the plants having at least one plant-related parameter that deviates from at least one plant-related parameter of the other plants that performed well over time.
Overall, the independent claims cover collecting sensor data for multiple plants using a mobile sensory platform with propulsion and multiple sensors, processing the data with a predictive model to identify issues, and presenting results in a GUI that maps plants to rows using selectable markers that reveal issue information for a selected plant. The claims additionally constrain the sensor basis to 3D plant structure and, in at least one independent claim, microclimate sensor data, and define model/issue characterization using previously-obtained data from other plants that performed well over time.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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