Precision Irrigation Field Trial Data Shows Proven Increases in Profits & Sustainability
The Aluvio Precision Irrigation System has proof of payback from fields right here in the United States. That means we don’t just have the backing of our parent company, Irriga Global, which pioneered the use and development of our Precision Irrigation Scheduling and has a presence in over 20 countries across the globe. We don’t just utilize 20 years of science, research, and state-of-the-art technology to help growers maximize more yield per drop. We have combined all of this knowledge and brought our system to soils in Nebraska to see how it stands up. This gives growers proven, third-party data that shows our system works because words without action (or results in this case) are really just words.
Data & Case StudiesThird-Party Testing Proves Aluvio Helps Growers Increase Yield Per Drop
A 2022 field test, initiated and conducted by the University of Nebraska, found there was a significant difference in water use between the three irrigation treatments tested. In fact, Aluvio Precision Irrigation System beat out leading competitors by as much as 25% in water use efficiency. In addition, our system scheduled less water over the season – without impacting yields – while saving energy costs and conserving water resources.
More case studies are in development and will be ready soon. Check back here for more data and information.
Demonstrated ValueProven Increases in Profits & Sustainability
We have proof of payback through data from University of Nebraska-Lincoln. In these field tests, water use was significantly different between the three irrigation treatments, beating leading competitors by 25%. Aluvio systems scheduled less water over the season without impacting yields while saving energy costs and conserving water resources.1
inches
bu/acre @ 15.5%
bu/in
per 100-acre pivot
1 A corn study was conducted in 2022 by the University of Nebraska. Half a pivot was set up with three treatments and three replications. The three irrigation treatments included Aluvio model, University ET model, and a competitor model. Irrigation timing and amount was scheduled according to each model. Crop was grown using the university’s BMPs. Yield was recorded with a yield monitor and separated by treatment and rep and analyzed.