An irrigation subsystem for locating a decoder unit in an irrigation system includes an irrigation controller controlling a plurality of irrigation units installed around branches of one or more water pipes in a field. Each irrigation unit includes a decoder unit placed in a box partially sunk in a ground and a solenoid. The subsystem further includes a memory, a memory control controlling data loading and retrieval into the memory, and an NFC interface having an NFC plate arranged in the box ensuring communication and energy supply with a mobile phone of an installer or searcher when being positioned close to the NFC plate. The communication includes downloading location coordinates of the decoder unit into the memory. The irrigation controller includes a memory for storing location data obtained from the decoder units in the form of a location database.

A method and system for irrigating a field adjacent a watercourse is disclosed comprising a plurality of pumps along the watercourse and measuring from time to time at a plurality of measuring locations the salinity, the pH, the temperature and the turbidity of the water. The measuring locations are different from the pumping locations. A real time salinity, pH, temperature and turbidity at the pumping locations is predicted from the measured values and the pumps selectively disabled or enabled on the predicted salinity, pH, temperature and/or the turbidity.

Additionally, there is disclosed an Alternate Wetting and Drying (AWD) method/system for irrigating a field using a pump comprising an outlet supplying water to the field and an inlet connected to a water source. The method/system comprises a sensor placed at a location in the field for sensing a water depth below a surface of the field and transmitting the water depth to a controller located remotely from the sensing location using a wireless connection. The controller enables the pump when the sensed water depth is below a threshold depth and disables the pump when the sensed water depth is above a threshold depth.

Some embodiments provide a system and method for interfacing with an irrigation controller based on rainfall, the system comprising: an interface unit including a housing and a control unit within the housing and configured to: cause an interruption of one or more watering schedules executed by the irrigation controller, which is separate from the interface unit, based on signaling received from a rain sensor including hygroscopic material, when a sensed expansion of the hygroscopic material is above a set rainfall accumulation threshold parameter, the rain sensor being separate from the interface unit and the hygroscopic material being configured to expand in response to being contacted by the rainfall and to contract in response to an absence of the rainfall; and remove the interruption after a completion of a predetermined interval of time after a sensed contraction of the hygroscopic material indicative of a rainfall stop.

An irrigation system that controls the irrigation operations based upon soil irrigation decisions and weather forecasts generated by specific meteorological data, including soil temperature, soil moisture, air temperature, air humidity, air pressure, and rainfall collected by different sensors. The system comprises an irrigation decision module, a soil decision module, an air factor decision module, a rainfall information sensor, an irrigation controller, and a mobile APP. The irrigation system uses low-power radio frequency networking technology to communicate between different modules and devices.

A decision-making method for variable rate irrigation management includes the following steps: S1: sampling a soil from a root zone of a crop in an area controlled by an irrigation sprinkler, and measuring compositions of separates of the sampled soil; S2: managing and dividing the area controlled by the irrigation sprinkler according to an AWC of the soil in the root zone of the crop; S3: constructing an optimized soil moisture sensor network; S4: placing ground-fixed canopy temperature sensors; S5: constructing an optimized airborne canopy temperature sensor network centered on the center pivot; and S6: performing a variable rate irrigation by using the optimized soil moisture sensor network, the fixed canopy temperature sensors, the optimized airborne canopy temperature sensor network and an automatic weather station. The method optimizes the placement and quantity of the soil moisture sensor network and the canopy temperature sensor network to improve the measurement accuracy.

Disclosed are various embodiments for deep reinforcement learning-based irrigation control to maintain or increase crop yield and/or other desired crop status, and/or reduce water use. One or more computing devices can be configured to determine an amount of water to be applied to at least one crop in at least one of a plurality of irrigation management zones through execution of a deep reinforcement learning routine. Further, the computing devices can determine a start time and an end time to be applied to the at least one of the plurality of irrigation management zones based at least in part on the amount of water determined by the deep reinforcement learning module. Finally, the computing devices can instruct an irrigation system to apply irrigation to the at least one of the plurality of irrigation management zones in accordance with the start time and the end time.

A landscape control box includes a base portion and a facepack. The facepack supports a rotary shaft extending along an axis in a first direction. A cover has a hole aligned with the rotary shaft. A knob has a receptacle and a first portion of an interacting structure. The receptacle engages with the rotary shaft so as to transfer rotational motion of the knob to the rotary shaft. The first portion of the interacting structure engages with a second portion of the interacting structure on the cover so as to inhibit movement of the knob. The control box can receive one or more modules for enhancing functionality of the control box and/or superseding station programming stored by the control box or input by the user. The control box includes openings that are sized and shaped to allow attachment of different sized pipes and conduits to the control box.

A self-energized programmable timer valve is provided in embodiments of this invention that can be used in watering and other systems, such as lawn watering systems and agricultural watering systems. The invention provides one or more components that serve the functions of a clock, a valve and an energizer (e.g., turbine) (i.e., a clock function, a valve function, and an energizing and/or turbine function) to control the flow of media (e.g., water) through the valve.

A hydroponic growing assembly includes a support frame and a platform is positionable on the support frame. The platform has a plurality of holes each extending therethrough. A plurality of canisters each has a plant growing in a substrate contained therein. Each of the canisters is insertable into a respective one of the holes in the platform for maintaining each of the canisters in an upright position. A tray is provided that is filled with a nutrient solution. The tray is positionable beneath the platform when the platform is positioned on the support frame. A pumping unit is coupled to the platform and the pumping unit pumps the nutrient solution in the tray into a respective one of the canisters for nourishing the plant in each of the canisters.

Aspects of the disclosure provide systems and methods for controlling the flow of water through zones of an ancillary span of an irrigation system to achieve optimal water distribution for each of a plurality of sections of a field-of-interest to be irrigated by the ancillary span. The disclosed systems and methods optimally turn control zones on and off to minimize the flow variability of water supplied to the ancillary span. The technology described herein runs a series of simulations to determine an optimal irrigation plan for the ancillary span. The instantaneous average flow at different points within a simulation may be calculated. The plurality of instantaneous average flows are used to determine a variance statistic for the plurality, which is used to determine the optimal plan.