Skaha:Irrigation FAQs

How does Skaha:Irrigation help me?

Skaha:Irrigation can provide enough relevant data so that irrigators can make informed decisions. For example, the 9-day soil moisture forecast shows how close the moisture levels will be to wilting point and field capacity. The trend maps show which areas of the field may need attention because they have been receiving too much or too little water in order to maintain moisture. However, Skaha:Irrigation does not automate irrigation scheduling. The irrigator is still in charge of managing irrigation.

Can you take different crops into account?

At the moment (as of Oct 2021), we use a generic crop growth model. However, we are planning to offer access to crop-specfic growth models very soon. The crops that will be supported are: barley, canola, corn, cotton, peanut, potato, sorghum, soybean, spring wheat, sugar beet, sunflower, and winter wheat. These growth models require user inputs such as planting date and variety.

Where is Skaha:Irrigation sold and why the early adopter program?

As we ramp up our production, we would like to start working closely with technologically inclined and curious irrgators in 2022 to find out how we can maximize the benefit of our product. This works best in places with a long irrigation season, with more opportunity to collect data and finetune the data products. The best place to start seems to be the American Southwest.

What is the sensing depth of the sensor?

The sensing depth of the microwave sensor is about 50 cm. A little less for heavy or wet soils, and a little more for dry or light soils. The landsurface modelling allows us to predict soil moisture down to 2 meters.

Is this system able to change irrigation rates on-the-go?

For now, the irrigator can use the information provided by the sensors and make small adjustments to fine-tune the program after a rotation to inform future irirgation rates. However, we are working on a closed-loop system and hope to be able to add this eventually.