Abstract: A predictive maintenance system includes an irrigation system including a plurality of components and configured to irrigate a farming area. The predictive maintenance system includes a sensor configured to generate a signal indicative of a condition of at least one component of the plurality of components of the irrigation system based on network power quality, a processor, and a memory. The sensor is disposed at a center pivot of the irrigation system or at a main disconnect of a utility. The memory includes instructions, which when executed by the processor, cause the predictive maintenance system to receive the sensed signal, determine changes in the condition of the at least one component, and predict an unexpected downtime of the at least one component based on predetermined data.

Abstract: A non-contact, closed-loop system for dehydrator control includes a dehydrator, a sensor configured to measure distribution of a product along a surface of the dehydrator, a processor, and a memory. The memory, includes instructions stored thereon, which, when executed by the processor, cause the system to: measure the distribution of a product along the surface of the dehydrator; determine differences between the distribution of the product along the surface of the dehydrator and a predetermined distribution of the product along the surface of the dehydrator; and adjust a control parameter of the non-contact, closed-loop system in response to the determined differences to reduce the differences and control the distribution of the product along the surface of the dehydrator when the dehydrator operates.

Abstract: A monitoring system for an irrigation system is presented. The irrigation system includes a movable end gun operatively associated with a portion of the irrigation system. The monitoring system includes a sensor configured to generate an electrical signal indicative of movement and/or positioning of the movable end gun relative to the portion of the irrigation system over time, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the system to: receive the generated electrical signal, determine whether the movable end gun, or one or more components thereof, requires maintenance based on the electrical signal, and determine when the movable end gun is in an on and/or off trigger state based on the electrical signal.

Abstract: A monitoring system for an irrigation system that includes a nozzle and a product source that supports a product for mixing with water from a water source to which the irrigation system is operably coupled. The monitoring system includes: a sensor configured to generate a first electrical signal indicative of a travel speed and/or a travel direction of the irrigation system; a fluid pressure sensor configured to generate a second electrical signal indicative of a flow rate, a processor, a memory, and a variable speed pump or a valve. The memory includes instructions, which when executed by the processor cause the monitoring system to: receive the first and second generated electrical signals, determine an applied rate of the irrigation fluid over a predetermined irrigation area based on the first and second electrical signals, and adjust the flow rate of the irrigation fluid through the at least one nozzle.

Abstract: A monitoring system for an irrigation system that includes a nozzle and a product source that supports a product for mixing with water from a water source to which the irrigation system is operably coupled. The monitoring system includes: a sensor configured to generate a first electrical signal indicative of a travel speed and/or a travel direction of the irrigation system; a fluid pressure sensor configured to generate a second electrical signal indicative of a flow rate, a processor, a memory, and a variable speed pump or a valve. The memory includes instructions, which when executed by the processor cause the monitoring system to: receive the first and second generated electrical signals, determine an applied rate of the irrigation fluid over a predetermined irrigation area based on the first and second electrical signals, and adjust the flow rate of the irrigation fluid through the at least one nozzle.

Abstract: A transportable enclosure can include a housing, a power source, a container, an evaporator, a condenser, a compressor, and a controller. The container can be configured to receive a temperature sensitive item therein. The evaporator can be disposed at least partially around the container. The condenser can be positioned near a wall of the housing and can be configured to reject heat from the evaporator to an ambient environment through the wall of the housing.

Abstract: A predictive maintenance system for an irrigation system includes one or more sensors configured to generate a signal indicative of abnormal operation within the irrigation system, the sensors electrically coupled to a drive system, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the predictive maintenance system to receive the generated signal, determine abnormal operation of the drive system based on the generated signal, and predict, by a machine learning model, a maintenance requirement of the drive system based on the determined abnormal operation.

Abstract: An irrigation maintenance system for facilitating irrigation of a farming area includes a sensor disposed at a main disconnect of a utility, a processor, and a memory. The sensor is configured to generate a signal indicative of abnormal operation of at least one component of a plurality of components of an irrigation system for the farming area based on network power quality, the network power quality including a phase balance, an inrush current, a power factor, or combinations thereof. The memory includes instructions stored thereon, which when executed by the processor, cause the irrigation maintenance system to: determine abnormal operation of the at least one component of the irrigation system based on the signal; and predict, by a machine learning model, a maintenance requirement of the at least one component based on the determined abnormal operation.

Abstract: A system predicts needed maintenance for an irrigation system that includes a portion of the irrigation system and a movable end gun operably associated with the portion of the irrigation system. The predictive maintenance system includes a controller and one or more sensors configured to couple to the movable end gun and configured to electrically communicate with the controller. The one or more sensors are configured to generate an electrical signal indicative of movement and/or positioning of the movable end gun relative to the portion of the irrigation system over time. The controller is configured to receive the electrical signal and determine whether the movable end gun, or one or more components thereof, requires maintenance based on the electrical signal. The signal indicative of abnormal operation includes an indication of movement and/or positioning relative to the portion of the irrigation system over a period of time.

Abstract: A modular kinematic and telemetry system for an irrigation system includes a condition-based monitoring (CBM) system and a plurality of sets of modular foot assemblies. The CBM system has a housing and supports a plurality of kinematic and telemetry components. The plurality of sets of modular foot assemblies includes a first set and a second set that secure to the housing of the CBM system. The first set is configured to secure the CBM system to a first end gun configuration and the second set is configured to secure the CBM system to a second end gun configuration that is different from the first end gun configuration.

Abstract: A monitoring system for an irrigation system is presented. The irrigation system includes a movable end gun operatively associated with a portion of the irrigation system. The monitoring system includes a sensor configured to generate an electrical signal indicative of movement and/or positioning of the movable end gun relative to the portion of the irrigation system over time, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the system to: receive the generated electrical signal, determine whether the movable end gun, or one or more components thereof, requires maintenance based on the electrical signal, and determine when the movable end gun is in an on and/or off trigger state based on the electrical signal.

Abstract: A pump mount for a product transportation and storage enclosure can include a stationary bracket secured to one or more of the walls of the housing, a rotating bracket configured to support the pump, a pump manifold, and a rotating manifold.

Abstract: A predictive maintenance system for an irrigation system includes one or more sensors configured to generate a signal indicative of abnormal operation within the irrigation system, the sensors electrically coupled to a drive system, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the predictive maintenance system to receive the generated signal, determine abnormal operation of the drive system based on the generated signal, and predict, by a machine learning model, a maintenance requirement of the drive system based on the determined abnormal operation.

Abstract: A system predicts needed maintenance for an irrigation system that includes a portion of the irrigation system and a movable end gun operably associated with the portion of the irrigation system. The predictive maintenance system includes a controller and one or more sensors configured to couple to the movable end gun and configured to electrically communicate with the controller. The one or more sensors are configured to generate an electrical signal indicative of movement and/or positioning of the movable end gun relative to the portion of the irrigation system over time. The controller is configured to receive the electrical signal and determine whether the movable end gun, or one or more components thereof, requires maintenance based on the electrical signal.

Abstract: A predictive maintenance system includes an irrigation system including a plurality of components and configured to irrigate a farming area. The predictive maintenance system includes a sensor configured to generate a signal indicative of a condition of at least one component of the plurality of components of the irrigation system based on network power quality, a processor, and a memory. The sensor is disposed at a center pivot of the irrigation system or at a main disconnect of a utility. The memory includes instructions, which when executed by the processor, cause the predictive maintenance system to receive the sensed signal, determine changes in the condition of the at least one component, and predict an unexpected downtime of the at least one component based on predetermined data.

Abstract: A machine learning based predictive maintenance system includes an irrigation system having a plurality of components and configured to irrigate a farming area. The maintenance system includes a sensor disposed at a center pivot of the irrigation system or at a main disconnect of a utility. The sensor is configured to generate a signal indicative of a condition of at least one component of the plurality of components of the irrigation system based on network power quality. The maintenance system further includes a processor and a memory. The memory includes instructions, which when executed by the processor, cause the predictive maintenance system to receive the sensed signal, determine abnormal operation of the at least one component, and predict, by a machine learning model, a maintenance requirement of the at least one component based the determined abnormal operation. The network power quality includes a phase balance, an inrush current, a power factor, or combinations thereof.

Abstract: A modular kinematic and telemetry system for an irrigation system includes a condition-based monitoring (CBM) system and a plurality of sets of modular foot assemblies. The CBM system has a housing and supports a plurality of kinematic and telemetry components. The plurality of sets of modular foot assemblies includes a first set and a second set that secure to the housing of the CBM system. The first set is configured to secure the CBM system to a first end gun configuration and the second set is configured to secure the CBM system to a second end gun configuration that is different from the first end gun configuration.

Abstract: A medical transport system can include a sleeve configured to receive a reservoir therein and a transport container including a compartment configured to receive the sleeve and the reservoir therein. The transport container can include a controller configured to receive from the sleeve an identity of the sleeve or the reservoir, verify the identity of the sleeve, and log receipt and storage of the sleeve.

Abstract: A monitoring system for an irrigation system is presented. The irrigation system includes a movable end gun operatively associated with a portion of the irrigation system. The monitoring system includes a sensor configured to generate an electrical signal indicative of movement and/or positioning of the movable end gun relative to the portion of the irrigation system over time, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the system to: receive the generated electrical signal, determine whether the movable end gun, or one or more components thereof, requires maintenance based on the electrical signal, and determine when the moveable end gun is in an on and/or off trigger state based on the electrical signal.