Patent classifications
A01G7/00
METHODS, SYSTEMS, AND DEVICES FOR TOMOGRAPHIC RHIZOSPHERE IMAGER
Disclosed herein are methods, systems, and devices for rhizosphere imaging. Methods include applying a signal to a portion of a plant and its roots via at least one first electrode, receiving the signal via at least one second electrode placed a designated distance from the plant, and generating, using one or more processors, a rhizosphere model based, at least in part, on the received signal, the generating of the rhizosphere model being implemented based, at least in part, on one or more frequency characteristics of the received signal.
SYSTEMS AND METHODS FOR MANAGING PLANT DATA AND PLANT GROWTH
Provided herein is a computer-implemented method of managing plant data. The method includes storing first plant data on a user device connected to a server. The first plant data relates to growth of a plant in a first grower device. The method also includes collecting second plant data related to growth of the plant in a second grower device. The second grower device is for growth of the plant moved from the first grower device. The second plant data is collected by the second grower device. The method also includes transferring the first plant data and the second plant data to the server. The method also includes displaying the first plant data and the second plant data on the user device.
Phenotyping apparatus
Apparatus to acquire an image of roots of a plant located in a target rhizotron. The apparatus includes: a turntable having a rotation axis and intended to support the target rhizotron; a lightening device; a first camera having an optical axis substantially oriented toward the rotation axis; a focus sensor arranged so as to provide a measure at least one parameter of the first camera; a control module, configured to receive the measure, compare the measure to comparison data, and inform an operator accordingly, the comparison data comprising data related to reference rhizotrons different than the target rhizotron, and/or data related to one or several previously acquired images of the target rhizotron.
Phenotyping apparatus
Apparatus to acquire an image of roots of a plant located in a target rhizotron. The apparatus includes: a turntable having a rotation axis and intended to support the target rhizotron; a lightening device; a first camera having an optical axis substantially oriented toward the rotation axis; a focus sensor arranged so as to provide a measure at least one parameter of the first camera; a control module, configured to receive the measure, compare the measure to comparison data, and inform an operator accordingly, the comparison data comprising data related to reference rhizotrons different than the target rhizotron, and/or data related to one or several previously acquired images of the target rhizotron.
Microneedle probe for measuring sap flow of plant, and sap flow measuring device having same
A microneedle probe for measuring a sap flow in a plant is disclosed, the microneedle probe including: a substrate; and a sensor unit which is installed on the substrate, generates heat, and measures a temperature that changes in accordance with a sap flow.
Microneedle probe for measuring sap flow of plant, and sap flow measuring device having same
A microneedle probe for measuring a sap flow in a plant is disclosed, the microneedle probe including: a substrate; and a sensor unit which is installed on the substrate, generates heat, and measures a temperature that changes in accordance with a sap flow.
Methods for deploying biosentinels to agricultural fields and monitoring biotic and abiotic stresses in crops remotely
One variation of a method for interpreting pressures in plants includes: accessing a first image of a first set of sentinel plants in a field; accessing a second image of a second set of sentinel plants in the field, recorded during a first period; interpreting a first pressure of a stressor in the first set based on features extracted from the first image, captured during the first period; interpreting a second pressure in the second set based on features extracted from the second image; deriving a model associating pressure at the first set and pressure at the second set based on the first pressure and the second pressure; interpreting a third pressure in the first set based on features extracted from a third image captured during a second period; and predicting a fourth pressure in the second set during the second period based on the third pressure and the model.
METHODS FOR DEPLOYING BIOSENTINELS TO AGRICULTURAL FIELDS AND MONITORING BIOTIC AND ABIOTIC STRESSES IN CROPS REMOTELY
One variation of a method for interpreting pressures in plants includes: accessing a first image of a first set of sentinel plants in a field; accessing a second image of a second set of sentinel plants in the field, recorded during a first period; interpreting a first pressure of a stressor in the first set based on features extracted from the first image, captured during the first period; interpreting a second pressure in the second set based on features extracted from the second image; deriving a model associating pressure at the first set and pressure at the second set based on the first pressure and the second pressure; interpreting a third pressure in the first set based on features extracted from a third image captured during a second period; and predicting a fourth pressure in the second set during the second period based on the third pressure and the model.
DATA PROCESSING PLATFORM FOR ANALYZING STEREO-SPATIO-TEMPORAL CROP CONDITION MEASUREMENTS TO SUPPORT PLANT GROWTH AND HEALTH OPTIMIZATION
An apparatus includes at least one processor configured to obtain stereo-spatio-temporal data measurements of plants in a growing area. The stereo-spatio-temporal data measurements include (i) first spatio-temporal data measurements of the plants in the growing area and (ii) second spatio-temporal data measurements of the plants in the growing area. The at least one processor is also configured to analyze the stereo-spatio-temporal data measurements to identify one or more actual or potential problems associated with one or more of the plants. The at least one processor is further configured to generate a graphical user interface identifying at least one of the one or more actual or potential problems with the one or more plants. The first and second spatio-temporal data measurements of each stereo-spatio-temporal data measurement are associated with at least one common plant characteristic and different three-dimensional positions within the growing area taken at one or more known times.
DATA PROCESSING PLATFORM FOR ANALYZING STEREO-SPATIO-TEMPORAL CROP CONDITION MEASUREMENTS TO SUPPORT PLANT GROWTH AND HEALTH OPTIMIZATION
An apparatus includes at least one processor configured to obtain stereo-spatio-temporal data measurements of plants in a growing area. The stereo-spatio-temporal data measurements include (i) first spatio-temporal data measurements of the plants in the growing area and (ii) second spatio-temporal data measurements of the plants in the growing area. The at least one processor is also configured to analyze the stereo-spatio-temporal data measurements to identify one or more actual or potential problems associated with one or more of the plants. The at least one processor is further configured to generate a graphical user interface identifying at least one of the one or more actual or potential problems with the one or more plants. The first and second spatio-temporal data measurements of each stereo-spatio-temporal data measurement are associated with at least one common plant characteristic and different three-dimensional positions within the growing area taken at one or more known times.