A plant cultivation apparatus is disclosed. The plant cultivation apparatus includes a cabinet, a bed, a cultivation unit, a photographing unit, and a control unit. The bed is provided inside of the cabinet. The cultivation unit is seated on the bed and accommodates a medium in which at least a portion of a plant is embedded. The photographing unit is provided inside of the cabinet and captures an image of the cultivation unit. The control unit is configured to receive a captured image from the photographing unit. The cultivation unit includes a cultivation container and a cover unit. The cultivation container is seated on the bed, is provided to have an open upper portion, and accommodates the medium therein. The cover unit shields the open tipper portion of the cultivation container and includes a cover through-hole provided at a position corresponding to the medium. The image captured by the photographing unit includes a first area including the cover through-hole, and a second area surrounding the first area. The control unit is configured to determine, through the image, an abnormal state of the plant according to a ratio of an area occupied by the plant in at least one of the first area or the second area.

Systems and techniques for a sensor carrier, and intelligent track infrastructure for the navigation and operation of the sensor carrier are described. The sensor carrier is an autonomous robot navigating a track. The carrier holds cameras and other sensors to receive horticultural images and telemetry for plants in a grow operation. The carrier reads embedded signals in the track including Radio Frequency Identifier (RFID) tags, embedded positioning magnets, and drilled hole patterns for a beam breaking system to determine navigation and operation. For tracks placed at sharp angles, a transfer station with wall guards to prevent the carrier from falling enable safe transfers from different track segments. Additional features include an emergency stop (e-stop) switch and power management for autonomous sensor carriers.

Systems and techniques for a sensor carrier, and intelligent track infrastructure for the navigation and operation of the sensor carrier are described. The sensor carrier is an autonomous robot navigating a track. The carrier holds cameras and other sensors to receive horticultural images and telemetry for plants in a grow operation. The carrier reads embedded signals in the track including Radio Frequency Identifier (RFID) tags, embedded positioning magnets, and drilled hole patterns for a beam breaking system to determine navigation and operation. For tracks placed at sharp angles, a transfer station with wall guards to prevent the carrier from falling enable safe transfers from different track segments. Additional features include an emergency stop (e-stop) switch and power management for autonomous sensor carriers.

An apparatus for analyzing a plant specimen is disclosed which includes a housing assembly adapted to be in i) an open configuration adapted to receive a plant specimen, and ii) a closed configuration wherein ambient light is controlled therein, a light source disposed in or coupled to the housing assembly, the light source adapted to shine light onto or through the plant specimen when the housing assembly is in the closed configuration, and a camera assembly coupled to the housing assembly, the camera assembly having an image sensor adapted to receive light from the plant specimen in i) a transmittance mode where light transmits through the plant specimen, or ii) a reflectance mode where light is reflected from the plant specimen, the image sensor adapted to thereby capture hyperspectral images of the plant specimen.

The present technique relates to a control apparatus, a control method, and a control system that can effectively utilize an index regarding light incident on a measured object by obtaining the index effective for the measured object.

The control apparatus can effectively utilize an effective index by controlling improvement of an environment that affects calculation of the effective index on the basis of the effective index representing an index that is related to light incident on a measured object and that is effectively utilized for the measured object. The present technique can be applied to, for example, a device that calculates an index of a plant.

A plant growth system is provided, which comprises: one or more plant growth substrates (1); one or more detectors (7) arranged to monitor nutrient levels of at least one of the plant growth substrates; at least one irrigation device (6) arranged to supply water to the plant growth substrates; and control means (9) connected to said detectors and said at least one irrigation device. The supply of water by the at least one irrigation device is controlled by the control means in dependence on the monitored nutrient levels. In this manner, the water and nutrient levels of the substrates can be accurately controlled.

A plant growth system is provided, which comprises: one or more plant growth substrates (1); one or more detectors (7) arranged to monitor nutrient levels of at least one of the plant growth substrates; at least one irrigation device (6) arranged to supply water to the plant growth substrates; and control means (9) connected to said detectors and said at least one irrigation device. The supply of water by the at least one irrigation device is controlled by the control means in dependence on the monitored nutrient levels. In this manner, the water and nutrient levels of the substrates can be accurately controlled.

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.

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.

The present disclosure describes a system, method, and non-transitory computer readable medium for analyzing soil samples. Accordingly, soil sample units may be obtained and provided to a server that generates raw data. Tho raw data is sent to a database, where it is downloaded. The raw data is subsequently organized into a sub-report for each nutrient or variable contained in the raw data. An average for each nutrient in the raw data and a number of additional factors related to the raw data may be calculated. The average and additional factors are used to determine bulk recommendations by comparing target data to an exchangeable measured value. Additionally, the factors are also used to determine challenges and solutions by comparing the average data to the target data for each nutrient. The system compares the raw data to the measured values and mathematically adjusts the compared values to compute an optimal treatment algorithm.