Satellite data is automatically gather for your field as frequent as every 8 days, and used to compare against reference ET through SWIIM’s weather station network to confirm actual water consumption on a field-level, as it occurs, in near-real-time.

Water users and managers alike can expand beyond the efficiencies achieved from monitoring water flows through  SWIIM’s use of remote sensing to automatically calibrate in-field instrumentation and regional data acquired through other sources.

This includes satellite-sensed data (two sources) and regionally-acquired weather data. This multi-dimensional combination of technologies is interconnected (field instrumentation with remote sensed data) into an easy-to-use dashboard which allows one to monitor crop water budgets more accurately than has ever been possible before. The remote sensing integration in SWIIM provides for the highest level of accuracy in measurement and control.

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SWIIM is used on permanent and annual crops and is compatible with surface delivered water, groundwater (pipe) or a combination of both sources on one, or multiple fields. It works with furrow, sprinkler, drip or a combination of irrigation methods within an operation. The system works alone or integrates with common irrigation scheduling systems.

Our easy to read, full color brochure is available detailing SWIIM’s full suite of offerings.



An easy-to-use interface designed for farmers, ranchers and other water right owners to optimize their farm income and water use. Co-developed under a multi-year research and development contract with the US Department of Agriculture, the system utilizes region-specific data, which is compared against real-life activities in the field.



An interface designed for water managers including ditch companies, irrigation districts, large-scale corporate growers and farming co-ops. The package is designed to allow for aggregation of a series of planned fields water budgets. This includes monitoring and reporting of actual applied and consumed water use within a region.