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.

Infrastructure and methods to implement a feedback loop for a horticultural operation are disclosed. Image capture devices are deployed on a per plant or near per plant basis, and upload images to image analysis server. The image analysis server applies image preprocessing to the uploaded images, and then applies image analysis to identify plants and plant artifacts. Where artifacts indicate an issue with a plant, a course of action to remediate is identified. Static analysis techniques, sequential analysis techniques, and adaptive techniques are some of the techniques enabled and disclosed by the application of object recognition techniques to horticultural applications. Images may be associated with a plant state vector to enable complex comparison operations.

A cultivation and sampling method for plants grown in a multi-section sampling device, the sampling device including an upper section with an upper section identifier and a number of cultivation containers, and a lower section with a lower section identifier and an equal number of sample containers. When the sampling device is in an assembled position, the upper section is connected to the lower section such that the sample containers are arranged to correspond to the cultivation containers being underneath them.

A sampling device for plants having a lower section with a plurality of sample containers, an upper section with a plurality of cultivation containers, a cutter and a cutting tip, wherein a base opening is formed in each cultivation container and corresponds to a sample container opening of one of the sample containers, and wherein the cutter and cutting tip are arranged, when the sampling device is in a usage position, between the upper section and the lower section such that a part of a plant protruding out through the base opening of the cultivation container and in through the sample container opening into the sample container can be severed by the cutter and cutting tip.

A sampling device for plants having a lower section with a plurality of sample containers, an upper section with a plurality of cultivation containers, a cutter and a cutting tip, wherein a base opening is formed in each cultivation container and corresponds to a sample container opening of one of the sample containers, and wherein the cutter and cutting tip are arranged, when the sampling device is in a usage position, between the upper section and the lower section such that a part of a plant protruding out through the base opening of the cultivation container and in through the sample container opening into the sample container can be severed by the cutter and cutting tip.

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.

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.

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.

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.

Systems and methods for plant phenotyping using mechanical manipulation are disclosed. In one embodiment, a method for plant phenotyping includes: acquiring a first image of a plant with a first imaging modality operating in a first spectrum; and acquiring a second image of the plant with a second imaging modality operating in a second spectrum. The first spectrum and the second spectrum have different depths of penetration through the plant. The method also includes analyzing the first image and the second image to determine the properties of the plant.