The present invention provides a multi-corner irrigation system having multiple steerable points which can quickly and efficiently irrigated tight corners during irrigation operations. According to an exemplary preferred embodiment, the present invention may preferably include a system for use with a self-propelled irrigation system having at least one span and a drive system for moving the span. According to a further preferred embodiment, the system preferably may include: a main section assembly having one or more interconnected spans supported by one or more drive towers; a first articulated span having an inner end and an outer end; a second articulated span having an inner end and an outer end; and an extension span. According to a further preferred embodiment, the first and second articulating spans are supported by a first drive tower which is steerable and a second drive tower which is steerable.

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.

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.

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.

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 surge irrigation system with one or more valve location units configured for location at a flood irrigation valve assembly. Each valve location unit has an elongate linkage with a rod configured to rotatably open and close a flood irrigation valve assembly with a powered actuator. A control unit is connected to the powered actuator and configured to wirelessly receive instructions to operate the powered actuator. Various embodiments also implement a base station to relay information and/or instructions between valve location units and a user. A user may control the system through, for example, a mobile device interface. Embodiments of the invention may also include moisture sensors configured to provide feedback to the system. A method of using the surge irrigation system is also disclosed.

The embodiments disclose a method comprising creating 3D models of an orchard with multiple plants in the form of a densified point cloud using oblique aerial RGB imaging and photogrammetry, identifying and segmenting individual plants of the orchard from the 3D models, simulating sunlight radiation in the 3D models, determining a shading effect of branches and neighboring plants on each individual plant at any time of the day, determining canopy light interception of each plant, analyzing canopy geometry of each plant in the 3D models, forecasting potential yield of each plant based on the measured canopy light interception and calculating nitrogen and water requirements of each plant based on the potential yield and other predetermined field, environmental and climate factors and validating the yield forecasting model using the canopy light interception data by measuring the actual yield for each plant.

A fertilizer device is described in one example, that is configured to connect to an irrigation system and direct water past fertilizer. The fertilizer device may include a cap rotatably disposed on a base portion. Depending on the rotational position of the cap relatively to the base portion, different amounts of water are directed against or past the fertilizer within a chamber of the device. The device also may include a water path around the fertilizer such that, even if water flow to the fertilizer is cut off, water without fertilizer will still pass through and out of the device.

A fertilizer device is described in one example, that is configured to connect to an irrigation system and direct water past fertilizer. The fertilizer device may include a cap rotatably disposed on a base portion. Depending on the rotational position of the cap relatively to the base portion, different amounts of water are directed against or past the fertilizer within a chamber of the device. The device also may include a water path around the fertilizer such that, even if water flow to the fertilizer is cut off, water without fertilizer will still pass through and out of the device.