Valmont Industries, Inc.
System and method for irrigation management

Abstract:

The present invention provides a system and method which includes a crop/soil analysis module which analyzes data collected and feeds the machine learning module, from one or more sources including imaging data from UAVs, satellites, span mounted crop sensors, in situ field and weather sensors. According to a further preferred embodiment, aerial data is combined and overlaid with span mounted sensor data in near real-time to generate irrigation management recommendations. According to a further preferred embodiment, the span mounted sensors may preferably provide field specific data of current field conditions and may preferably use the system's analytics to calculate crop water use and crop water stress index. According to a further preferred embodiment, vegetation indexes may preferably be calculated as checks against the values calculated from the aerial data and to provide information if cloud cover or other atmospheric interference is present. According to a further preferred embodiment, the crop/soil analysis module may further interface with the drive control and applicant pressure controls to autonomously create and execute an irrigation plan which includes custom drive instructions and applicant dispersal rates for a given field.