- Full-range soil water potential sensor
- Accurate. Easy to use. No recalibration.
- Onboard temperature measurement
FEEDING THE WORLD REQUIRES SMARTER IRRIGATION
That’s why two Brigham Young University environmental scientists, Dr. Neil Hansen and Dr. Bryan Hopkins, Dr. Ryan Smith from Missouri A&T, and a team of researchers are using the latest in satellite, drone, and IoT technology, including ZENTRA Cloud, to work with one tech-savvy commercial grower and his variable rate irrigation center pivot to understand how to maximize his potato crop yield.
COMPLEX NEEDS DEMAND SOPHISTICATED SOLUTIONS
Each sprinkler on the specialized pivot can be automatically adjusted so the grower can water at different rates anywhere in the field, which means variable irrigation can be applied to high-yielding versus low-yielding spots or variable soil types. This is especially important, since half of his center pivot irrigates a cash crop, while the other half provides water for a community golf course!
WATER CONTENT + WATER POTENTIAL—BETTER TOGETHER
Visualizing near-real-time water content and water potential data using ZL6 loggers and ZENTRA Cloud can provide the scientists and the grower the information they need to irrigate the potato field, the greens, the tee boxes, and the fairways at different optimum levels.
SMALL PROBLEMS NEVER BECOME BIG PROBLEMS
Near-real-time soil moisture data also alert the scientists and grower to potential problems, such as a broken sprinkler head, which might otherwise go unnoticed. Remote device management means they can set up and manage their sensors and data logger from the comfort of their office.
MAPPING THE WAY TO LARGER YIELDS
Using METER multi-parameter sensors, ZL6 loggers and ZENTRA Cloud, scientists will compare potato yield data with water content, water potential, and weather data, plus use soil mapping, satellite data, and remote-sensing drones to figure out the most efficient irrigation for the highest yield.
BANISH WATER STRESS—WITHOUT OVERWATERING
ZENTRA Cloud’s automated graphing feature will enable the scientists to see in an instant which areas might be approaching water stress, so they can make decisions on the fly and adjust irrigation according to plant needs.