A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to perform the actions. One general aspect includes an intelligent irrigation system including one or more of a sprinkler and one or more processors configured to: obtain imagery data regarding a plant; determine a current life cycle stage of the plant based on the imagery data, determine a plant crop coefficient for the plant based on the current life cycle stage of the plant, determine irrigation water output for the plant based on the plant crop coefficient, potential evapotranspiration calculated using solar radiation, temperature, wind speed and/or any other factors, and control the sprinkler to irrigate the plant based on the irrigation water output determined for the plant.

The invention relates to a method and terminal equipment for planting vegetables on internet rental land, thereby enabling land lessees with idle land to cooperate with urban people seeking to eat green vegetables which are economical and practical, on the one hand, meeting the requirement that urban people eat green vegetables which are practical and reliable, on the other hand, enabling idle land to be reasonably utilized, especially wasting land in rural areas, and bringing considerable benefits to the land lessees; meanwhile, along with the popularization and application of the method and the terminal equipment, a large number of employment posts can be brought to rural areas, and the economic development of the rural areas can be promoted.

The present invention provides a system and method for analyzing sensor data related to an irrigation system. According to a preferred embodiment, the system includes algorithms for analyzing real-time, near real-time and historical data acquired from sensors in communication with a mechanized irrigation machine. Further, the algorithms of the present invention system may analyze collected sensor data to determine if an event has occurred or is predicted to occur. Further, the algorithms of the present invention may provide commands to an irrigation machine and notifications to users. According to further aspects of the present invention, the algorithms of the present invention may preferably apply machine learning and other data analysis tools to detect maintenance patterns, geographic trends, environmental trends, and to provide predictive analysis for future events.

A programmable logic controller, PLC, comprising: a programmable logic module; a Modbus interface configured to receive one or more Modbus commands, the one or more Modbus commands specifying a configuration for one or more Boolean logic operations; and a programming module operatively coupled to the Modbus interface and the programmable logic module, the programming module being configured to program the programmable logic module in accordance with the configuration for the one or more Boolean logic operations specified by the received one or more Modbus commands.

Apparatus, systems and methods for ascertaining the occupancy of a building are presented. The building is divided into one or more control zones which correspond to physical areas of the building associated with controllable modules, such as HVAC units, lighting, irrigation, or other environmental features such as fountains, music, video, and the like. Zone parameters define how zone devices shall react to the number of occupants located in the particular zone. A building control system detects individual mobile devices in and around the building, and determines the locations of each device by using trilateration and/or location services. The identified mobile devices act as proxies for building occupants. The locations of these devices are correlated with the locations of the zones in the building, and the building control system then adjusts the operating parameters of the zone based on the number of devices present in the zone.

Embodiments of the present invention provide hydroponics farming apparatus, and systems including the same. The farming apparatus comprises a frame, a plurality of functional systems, a first plurality of sensors configured to monitor conditions associated with farming of the one or more plants, and one or more modular storage cabinets removably attached to the frame. The one or more modular storages include electronics that are pre-assembled and configured to communicate with one or more of the first plurality of sensors and the plurality of functional systems. The electronics includes a main controller configured to collect data from the first plurality of sensors.

Some embodiments provide irrigation controllers comprising: a housing; a control unit including a first microcontroller configured to execute irrigation programs and a first set of code; and a removable plug-in device that removably mates with a portion of the irrigation controller and communicationally couples to the first microcontroller, wherein the plug-in device comprises a memory storing a second set of code to replace at least a portion of the first set of code, wherein the plug-in device is configured to re-flash at least a portion of the first set of code allowing a copy of the second set of code to overwrite at least the portion of the first set of code; wherein the first set of code comprises a bootloader that writes the copy of the second set of code over the first set of code with the exception of the bootloader that is not written over.

Systems and methods for providing irrigation water to a soil depth of a crop rootzone in a plurality of crop fields using a sensor network and soil moisture modeling are provided. In various embodiments methods include receiving data from a sensor network in a first crop field and determining a soil moisture model using data from the sensor network in the first field. Various embodiments further include determining a first field irrigation time using the soil moisture model, the first field irrigation time providing irrigation water to a soil depth of the crop rootzone above a Wilting Point (WP) and below a Field Capacity (FC) of soil in the first field, and applying the soil moisture model to a second field.

Systems and methods are provided for generating a flow control plan for a plurality of components in a flow control system. A decentralized multi-agent control framework is used to plan and schedule for each agent independently without a central processor. Each agent of the multi-agent control framework separately optimizes a local portion of the system as a function of values for one or more parameters. Agents communicate with other connected agents, sharing values for parameters. The communication provides a negotiation and consensus for values of the shared parameters that are used by the agent to recalculate optimized parameters values for the local portion of the system.

A system with sensor equipment including one or more sensors and watering equipment disposed on a parcel of land and configured to selectively apply water to the parcel, and a gateway configured to provide for communication with the sensor equipment and the watering equipment. The watering equipment comprises a watering pump, wherein the watering pump is operably coupled to a water source and a water line to alternately couple the water source to and isolate the water source from the water line. The watering pump further includes a pump sensor assembly configured to direct the watering pump based on detected environmental and operational parameters.