The present invention is a water fountain control system that utilizes cameras to analyze movements of a human subject, and actuates one or more water fountain controllers in response to the movements to create a display incorporating spray patterns of the flowing water. The camera system records video in real time and generates optical signals that are sent to a processor running software that assesses the dimension, position, stance, and/or motion of the human subject and converts the data into recognized classes of movements and/or poses. Once the processor identifies the type of movements and/or poses, it sends signals to the actuators of the water fountains to control the fountains in a manner that implements stored predetermined visual effects generated by the fountain to create a visual presentation to an audience.

In some embodiments, apparatuses and methods are provided herein useful to use with irrigation devices connected to a multi-wire path in an irrigation system. In some embodiments, there is provided a system for use with irrigation devices including a modulator configured to provide an output power signal modulated with data; a multi-wire interface coupled to the modulator and configured to electrically couple to the multi-wire path extending into a landscape and to which the irrigation devices are connected; and a control circuit configured to execute an automated device discovery process configured to cause the modulator to modulate data comprising a discovery message on the output power signal, the discovery message indicating a portion of an address to match and prompting a response from one or more of the irrigation devices in which a corresponding portion of the unique address matches the portion of the address to match.

The present invention teaches a solenoid-valve actuator that is battery-powered and communicates remotely and wirelessly (e.g., via LoRaWAN) to a gateway that communicates with the internet, thereby enabling a user to remotely control fluid flow through a solenoid valve. The end device interfaces to a range of latching solenoid operated valves, e.g., for the control of water flow in irrigation systems.

A system and method for determining specific prescriptions for targeted areas/plants within given irrigation areas. According to preferred embodiments, the system may use imaging data in combination with other sensors and analysis modules to identify selected pests and diseases affecting given crops. Preferably, the system may use machine learning/AI modules to analyze the data and to provide targeted prescriptions for targeted groups of identified crops based on identified conditions of infestation and/or disease within the identified crops.

Disclosed are various embodiments for optimized sensor deployment and fault detection in the context of agricultural irrigation and similar applications. For instance, a computing device may execute a genetic algorithm (GA) routine to determine an optimal sensor deployment scheme such that a mean-time-to-failure (MTTF) for the system is maximized, thereby improving communication of sensor measurements. Moreover, in various embodiments, a centralized fault detection scheme may be employed and a soil moisture of a field can be determined by statistically inferring soil moistures at locations of faulty nodes using spatial and temporal correlations.

Some embodiments provide irrigation systems comprising: a central irrigation controller; a radio module; a control module; and a radio adaptor in communication with the control module; where the control module comprises: a processor, a first communication interface, and one or more valve drivers, where the control module is configured to implement irrigation commands in implementing at least a portion of irrigation programming such that the one or more valve drivers are each configured to control a different irrigation valve in accordance with the irrigation programming; and the radio adapter comprises: a second communication interface communicationally coupled with the first communication interface, and a wireless radio frequency transceiver configured to provide wireless communication with the radio module where the radio adapter is configured to relay information between the radio module and the control module.

An irrigation system includes a network hub and a plurality of remote terminal units configured for wireless communication with the network hub. The remote terminal units are connected to a device for irrigation control or sensing, such as a valve for a sprinkler. The network hub is configured to transmit a wireless broadcast to the remote terminal units, in which the wireless broadcast includes a plurality of individual packets transmitted in succession, each of the plurality of individual packets including a network identifier associated with the network hub, a time remaining in a broadcast period of time, and an assignment map indicative of an assigned state for each of the plurality of remote terminal units.

Techniques for providing improvements in agricultural science by optimizing irrigation treatment placements for testing are provided, including analyzing a plurality of digital images of a field to determine vegetation density changes in a sector of the field. The techniques proceed by comparing a distribution of pixel characteristics in the digital images for each field sector to determine sectors in which minimal differences are present. Instructions for irrigation placements and testing may then be displayed or modified based on the results of the sector determinations.

Systems, methods and computer-readable media are provided for entering a fail safe mode for a controlled agricultural environment (CAE). The CAE includes movable receptacle supports for holding plants. In response to determining a fault condition in the CAE or in environmental conditioning equipment for the CAE, operation of the CAE or the environmental conditioning equipment is controlled to effect a change from a standard operating mode to a fail safe mode. The standard operating mode corresponds to desired environmental conditions in the CAE and the fail safe mode corresponds to non-ideal environmental conditions.

A water management system effective for managing and metering water usage and detecting and reducing water leaks is described herein. The water management system can detect a leak when a volume of water flow or change in water pressure detected by a water meter of the system is uncharacteristic for a given day and time of day at the node. Upon detecting the leak, the system alerts the user, and in some situations, remotely shuts off a water supply to preemptively address a water leakage issue.