Systems and methods automate the design and execution of randomized experiments. Portions of a field are planted using an agricultural vehicle configured to randomly vary planting parameters when planting a portion of the field. A resulting crop outcome across each portion or sub-portion of the field is observed. A training set of data is generated that includes the varied planting parameters and the associated crop outcomes for each portion of the field. A machine-learned model is trained using the training set of data and is configured to predict a crop outcome for a portion of the field based on historical and forecast conditions and a set of planting parameters applied to a portion of the field. For subsequent iterations, for a target portion of the field, the machine-learned model can be applied to identify a set of planting parameters for planting the target portion of the field to optimize a desired crop outcome.

A system and method for determining specific prescriptions for targeted areas/plants within given irrigation areas. According to preferred embodiments, the system may use imaging data in combination with other sensors and analysis modules to identify selected pests and diseases affecting given crops. Preferably, the system may use machine learning/AI modules to analyze the data and to provide targeted prescriptions for targeted groups of identified crops based on identified conditions of infestation and/or disease within the identified crops.

The present invention relates generally to a system and method for detecting and adjusting the position of an irrigation span. More particularly, the present invention provides a system and method for detecting and removing deflection stresses from irrigation spans caused by corner arm positioning.

The present invention relates generally to a system and method for detecting and adjusting the position of an irrigation span. More particularly, the present invention provides a system and method for detecting and removing deflection stresses from irrigation spans caused by corner arm positioning.

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.

An agricultural system comprising includes a support assembly having one or more support structures and one or more propulsion units coupled to the one or more support structures. The agricultural system includes one or more actuatable work tool assemblies having one or more measurement attachments configured to perform one or more measurements of at least one of one or more objects or one or more regions within an environment. The one or more actuatable work tool assemblies may be actuated by one or more actuation systems. The agricultural system may include a controller configured to cause one or more processors to direct the one or more actuation systems to actuate the one or more actuatable work tool assemblies position to perform one or more measurements of at least one of one or more objects or one or more regions within the environment.

An agricultural system comprising includes a support assembly having one or more support structures and one or more propulsion units coupled to the one or more support structures. The agricultural system includes one or more actuatable work tool assemblies having one or more measurement attachments configured to perform one or more measurements of at least one of one or more objects or one or more regions within an environment. The one or more actuatable work tool assemblies may be actuated by one or more actuation systems. The agricultural system may include a controller configured to cause one or more processors to direct the one or more actuation systems to actuate the one or more actuatable work tool assemblies position to perform one or more measurements of at least one of one or more objects or one or more regions within the environment.

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 spray boom support structure includes a first support member, a second support member, a plurality of vertical support elements disposed between the first and second support member along lengths of the first and second support members, and at least one strut. Each vertical support element includes a bottom saddle portion coupled to first support member, a top saddle portion coupled to the second support member, and an I-beam portion disposed between the top and bottom saddle portions. Further, each strut extends between adjacent vertical support elements.

The technology described herein provides a dual machine irrigation system. The first machine is primarily an irrigation machine and the second machine is primarily a sensor machine, though it may also distribute liquids. The irrigation machine includes an irrigation span and can include multiple irrigation spans. The sensor machine includes a sensor span and can include multiple sensor spans. The sensor span gathers data that is used to optimize the liquid deployment from the irrigation span. In an aspect, both the irrigation span and the sensor span follow the same path of travel through a field, but at different times. The sensor span is separate from the irrigation span and includes a plurality of environmental sensors that gather data on the field, the field environment, and any crops that may be in the field. The ability of the sensor span to provide real-time data allows for optimization of liquid deployments.