A cover member for an in-store greenhouse is disclosed, with which radiation exiting the in-store greenhouse can be influenced or modified.

A method of irrigating a saline aquaculture system to control pests is described herein. The method includes acquiring a second set of environmental condition data on a computing device using a sensor coupled to a platform, such that the platform is configured to grow a salt-tolerant plant therein; comparing the second set of environmental condition data to a first set of environmental condition data acquired at a previous time point; determining whether freshwater accumulation has increased or will increase at a future time point on a surface of the platform; when it is determined that the freshwater accumulation on the surface of the platform has increased or will increase relative to the previous time point, activating a saltwater distribution device coupled to the platform; and reducing an accumulation of one or more of: insects, caterpillars, fungi, and bacteria on the surface of the platform.

A method of irrigating a saline aquaculture system to control pests is described herein. The method includes acquiring a second set of environmental condition data on a computing device using a sensor coupled to a platform, such that the platform is configured to grow a salt-tolerant plant therein; comparing the second set of environmental condition data to a first set of environmental condition data acquired at a previous time point; determining whether freshwater accumulation has increased or will increase at a future time point on a surface of the platform; when it is determined that the freshwater accumulation on the surface of the platform has increased or will increase relative to the previous time point, activating a saltwater distribution device coupled to the platform; and reducing an accumulation of one or more of: insects, caterpillars, fungi, and bacteria on the surface of the platform.

Data driven indoor farming optimization may provide autonomous decision making that maximizes crop yield. One or more specifications and one or more constraints on resources for a crop being monitored may be received at computing devices. The computing devices may generate a simulation using a machine learning algorithm to determine whether the one or more specifications and the one or more constraints result in a grow solution for the crop. The simulation may be constrained by historical data on one or more variables that affect crop production. The computing devices may receive a modification to a constraint in the event that the simulation failed to generate a grow solution for the crop. On the other hand, if the simulation generates a grow solution for the crop, the simulation may be run to predict growth of the crop at specific time intervals of a grow cycle for the crop.

Systems and methods for monitoring plants'conditions in one or more plant growing areas are presented. The system comprises a data collection system for providing characterization data about various parameters of plants in the one or more plant growing areas, the data collection system comprising data collection modules of at least first and second different types comprising respectively one or more first type imaging devices of predetermined first field of view and first resolution and one or more second type imaging devices of predetermined second field of view narrower than the first field of view and second resolution higher than the first resolution, the characterization data provided by the first type imaging device(s) comprising first type image data indicative of one or more plants in the plant growing area and of location of at least one device of the second type imaging devices with respect to said one or more plants in the plant growing area, the characterization data provided by the second type imaging device(s) comprising second type image data indicative of one or more portions of plants in the plant growing area; and a control system for activating at least one first type imaging device and at least one second type imaging device at least partially simultaneously, and to be responsive to operational data being based on analysis of the first type image data and comprising navigation data to navigate the at least one second type imaging device or at least one device of the first type imaging devices in the plant growing area.

The invention provides a method for sensing a plant-related parameter in a horticulture space (115), wherein (i) a radio transmitter (151) and a radio receiver (152) are arranged such that a radio path (153) between the radio transmitter (151) and the radio receiver (152) passes through at least part of the horticulture space (115), and (ii) the radio receiver (152) is configured in a radio signal receiving relationship with the radio transmitter (151), wherein the method comprises a sensing stage comprising: emitting a radio signal with the radio transmitter (151); detecting the radio signal with the radio receiver (152) and providing a related receiver signal; and determining the plant-related parameter based on the receiver signal.

Provided are a growth assessment system, growth assessment server and growth assessment method with which it is possible to improve the accuracy of a growth assessment model. A difference determination unit of the growth assessment system compares an estimated growth state value, which is growth state value for a crop that is calculated by a growth assessment model, with a detected growth state value, which is a growth state value for the crop that is calculated based on an image of a field or the crop that is acquired by a camera. A model correction unit corrects the growth assessment model depending on the comparison result from the difference determination unit.

A cover member for an in-store greenhouse is disclosed, with which radiation exiting the in-store greenhouse can be influenced or modified, so that outgoing total radiation has a white color on the Planck curve.

A cover member for an in-store greenhouse is disclosed, with which radiation exiting the in-store greenhouse can be influenced or modified, so that outgoing total radiation has a white color on the Planck curve.

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.