X Development LLC

Institute for Oneworld Health

David R Brown

Matthew A Bitterman

William Raymond Regan

Elliott Grant

Benoit M Schillings

Zhiqiang Yuan

Kevin James Doyle

Huw David Vater

Jacqueline Anne Macritchie

Joanne Peach

Michael Geoffrey Neil Russell

Christopher Van Arsdale

In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract one or more phenotypic traits associated with the plant from the sensor data. Indexing the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.

Capture of ground truthed labels of plant traits method and system

In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.

Systems and Methods for Augmented-Human Field Inspection Tools for Automated Phenotyping Systems and Agronomy Tools. In one embodiment, a method for plant phenotyping, includes: acquiring a first set of observations about plants in a field by a trainer. The trainer carries a sensor configured to collect observations about the plant, and the first set of observations includes ground truth data. The method also includes processing the first set of observations about the plants by a trait extraction model to generate instructions for a trainee; and acquiring a second set of observations about the plants by a trainee while the trainee follows the instructions.

Augmented-human field inspection tools for automated phenotyping systems and agronomy tools

Systems and methods for plant phenotyping using mechanical manipulation are disclosed. In one embodiment, a method for plant phenotyping includes: agitating a plant with an agitator; acquiring images of the plant with a camera while agitating the plant; and analyzing the images of the plant to determine properties of the plant. The plant may be at least partially agitated at a resonance frequency of oscillation of a stalk of the plant.

Plant phenotyping techniques using mechanical manipulation, and associated systems and methods

The present invention relates to compositions and methods for treating a disease in an animal, which disease is responsive to inhibiting of the functional cystic fibrosis transmembrane conductance regulator (CFTR) polypeptide by administering to a mammal in need thereof an effective amount of a cyclic or acyclic hydrazine derivative including those of formulas II or III: or compositions thereof, thereby treating the disease. The present invention particularly, relates to a method of treating diarrhea and polycystic kidney disease.

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San Francisco, CA, United States of America

David R Brown