The present disclosure provides a distribution method and a distribution system for greenspace irrigation water of a smart city based on an Internet of Things. The method includes obtaining historical monitoring information of a plurality of greenspaces in a target area within a historical time period from the urban monitoring object platform, determining historical growth information of the plurality of greenspaces within the historical time period based on the historical monitoring information of the plurality of greenspaces, determining target irrigation parameters of each greenspace in a first future time period based on the historical growth information, generating an irrigation control instruction for irrigating each greenspace based on target irrigation parameters, and sending the irrigation control instruction to an irrigation object platform through a sensor network platform, an irrigation object platform being configured to irrigate the each greenspace in response to the irrigation control instruction.

Several embodiments provide wireless irrigation system and related methods. In one implementation, an irrigation system includes a plurality of valves; a plurality of solenoids; a plurality of circuits, at least one circuit in a circuit housing attached at least partially to a dedicated solenoid housing of a respective one of the plurality of solenoids; a plurality of wireless transceivers, at least one wireless transceiver in the circuit housing attached at least partially to the dedicated solenoid housing of the respective one of the plurality of solenoids and configured to wirelessly communicate via a communication network; and the communication network comprising the plurality of wireless transceivers for communication with the plurality of solenoids.

A process for batch processing by-product water to obtain a batch of beneficial use water for application to an targeted area of soil with determined moisture and chemical characteristic to change that soil characteristic to a desired soil characteristic includes the steps of measuring the moisture and chemical composition of the targeted area of soil; determining a desired soil characteristic that will grow selected vegetation; defining a chemical composition of a batch water to be applied to the soil to obtain the desired composition; processing a batch of by-product water in accordance with the defined composition; applying the batch of processed water to the targeted area of soil; measuring the moisture and chemical composition of the soil after application; repeating the process until desired composition is achieved or the vegetation growth is completed.

An irrigation system may be implemented to provide location data with respect to one or more autonomous devices. Irrigation hardware, such as moisture sensors, with known locations on a property, may be provided with field sensing to accurately determine the location of an autonomous device with respect to the known location of the irrigation hardware. Existing hardware, such as moisture sensors, may be retrofitted or provided with field sensing electronics to determine the location of autonomous devices.

A system for autonomous monitoring and/or optimization of plant (140) growth is provided. The system may include actuation devices configured to interact with an agricultural area (120), image sensors (130) configured to capture images (170) of a plant (140) in the agricultural area (120), and a processor (150) in communication with the image sensors (130) and the actuation devices. The processor (150) may be configured to store, via a memory (160), a first image (170) of the agricultural area (120) captured prior to a first actuation of the actuation devices; and trigger, synchronously with the first actuation, the image sensors (130) to capture a second image (180) of the agricultural area (120). The processor (150) may be further configured to detect features of the plant (140) in the first and second images (170) of the agricultural area (120); evaluate the detected features of the plant (140) for visual plant qualities (210); and dynamically set one or more parameters (190) of the actuation devices based on the visual plant qualities (210).

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.

There is disclosed a method and system for regulating plant irrigation at a crop field. The method comprises obtaining soil water tension (SWT) data and/or soil water content (SWC) data corresponding to a crop field. The SWT data and/or the SWC data is segmented into three segments. A respective line of best fit is determined for each of the three segments. The intercepts of the lines of best fit are used to determine an irrigation start threshold and an irrigation stop threshold. Devices that control irrigation for the crop field are caused to start or stop irrigation based on the irrigation start threshold and irrigation stop threshold.

A plant cultivation apparatus may include a cabinet including a cultivation room in which a plurality of beds are accommodated and plants are grown, a residual water detection sensor configured to detect whether residual water of feed water supplied to the plurality of beds is present, a water supply module provided in the cultivation room to supply feed water to the plurality of beds, and a controller configured to perform a water supply process when a specified water supply cycle for the plurality of beds is reached, determine whether water is present in the plurality of beds using the residual water detection sensor when the water supply process is performed, and sequentially perform the water supply operation to one or more beds in which no water is present, among the beds, wherein the water supply operation is an operation of supplying water of a predetermined watering amount to the bed in which no water is present, counting a number of times of water supply for the bed, and waiting for a water supply delay time.

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.

A computerized crop growing management system (CMS) for a farm includes a main controller with an associated user interface (UI). The farm has a plurality of fields on each of which a different crop may be raised, each crop having different irrigation and nutrient requirements. Each field is fed by a main irrigation line connected to a network of irrigation pipes having controller-based valves. Sensors monitor growing conditions in each field. The UI is configured to permit an operator to monitor growing conditions, and control the supply of irrigation liquid and nutrients to each field and/or each crop. The UI allows the operator to specify and create irrigation schedules, nutrient recipes and flow rates, as well as warn an operator of technical and crop problems.