Sumit Sharma, Extension Specialist for High Plains Irrigation and Water Management
Kevin Wagner, Director, Oklahoma Water Resources Center
Sumon Datta, Irrigation Engineer, BAE.

Sensor based and data driven irrigation scheduling has gained interest in irrigated agriculture around the world, especially in semi-arid areas because of the easy availability of commercial irrigation scheduler technology such as soil moisture sensors and crop models. Moisture sensing has particularly gained interest among the agriculture community due to ease of availability of the sensors to the producers, affordable costs, and easy to use graphical user interface. Economic potential of sensors in saving irrigation costs, data interpretation training through extension education programs, and policy initiatives have also helped with adoption of the sensors, especially in the United States. However, sensor adoption and efficient use can still be challenging due to poor data interpretation, steep learning curves, overly high expectations and subscription costs. This blog briefly discusses scenarios where sensors can be helpful in irrigated agriculture. For moisture sensor types, functioning and installation, readers are referred to BAE-1543 OSU extension factsheet.

Irrigation Scheduling

Irrigation scheduling with soil moisture sensors follows traditional principles of field capacity (FC), plant available water, maximum allowable depletion (MAD), and permanent wilting point (PWP). Figure 1 shows the transition of soil moisture level from field capacity to MAD, and to permanent wilting point in a typical soil. The maximum amount of water that a soil can hold after draining the excess moisture is called field capacity. At this point, all the water in soil is available to the plants. As the moisture content in the soil declines, it becomes more difficult for the plants to extract moisture from the soil. The soil moisture level below which the available moisture in soil cannot meet the plant’s water requirement is called the MAD. The water stress that occurs once moisture level goes below this moisture level can cause yield reductions in crops. Therefore, irrigation should be triggered as soon as the soil moisture level approaches this point (MAD) to avoid any yield losses (for detailed information on MAD, its value for different soils and crops, and irrigation scheduling, readers are referred to BAE-1537). Modern soil moisture sensors can come self-calibrated and are equipped with water stress threshold levels for different crops to avoid water stress or overwatering (Figure 2). These decisions are useful in furrow and drip irrigation systems where irrigation triggers can be synchronized with MAD values.

Figure 2: Screenshots of graphic user interface of three sensors a) GroGuru b) Sentek c) Aquaspy (Top to bottom) with threshold levels for soil moisture conditions. Aquspy and Sentek credits: Sumit Sharma. GroGuru image credits: groguru.com

Soil Moisture Trends and Irrigation Depths

Soil moisture sensors can help make data-informed decisions about scheduling irrigation. Previous studies have shown that the moisture values may vary from one sensor to the other and may not represent the exact moisture levels in soil. However, all soil moisture sensors exhibit trends in recharge and decline in soil moisture conditions. These real time soil moisture trends can be used to make informed decisions to adjust irrigation and improve water use efficiency. In high ET demand environments of Oklahoma, pivots are usually not turned off during the peak growing season, yet sensors can help in making decisions for early as well as late growing periods.

One of the easiest adjustments that could be made using soil moisture sensor data is the adjustment of irrigation depth. In an ideal situation, every irrigation event should recharge the soil profile to field capacity; however, this is often limited by the crops’ water demand and the well/irrigation capacity to replenish soil moisture levels. Each peak in soil moisture detected by sensors shows irrigation or rain, which ideally should be bringing moisture to same level after irrigation. However, reduction in moisture peaks in the soil moisture profile with every irrigation often indicates greater crop water demand than what is replenished with irrigation. In such scenarios, as allowed by capacity and infiltration rates, the  irrigation depth can be increased. These trend values are particularly useful for center pivot irrigation systems, where triggering irrigation based on MAD might lag due to time and space bound rotations of the pivots in Oklahoma weather conditions.  

Figure 3: A screenshot from Aquaspy agspy moisture sensor showing moisture at 8” (blue) and 28” (red) with each irrigation event. Data and image credit: Sumit Sharma

Last irrigation can be a tricky decision to end the cropping season. For summer crops, this is the time when crop ET demand is declining due to decline in green biomass and cooler weather patterns. Similar moisture trends can be used to make decisions for the last irrigation events, which can be skipped or reduced if the profile moisture is good, or can be provided if profile moisture is low. This is important because in an ideal situation, one would want to end the season with a relatively drier profile to capture and store off-season rains. Additionally, saving water on last irrigation can save operational cost and potentially cover the cost of moisture sensor subscriptions.

These decisions can be illustrated with Figure 3, which shows the trends of declining and recharging in a soil profile under corn at 8- and 28-inch depth. This field was irrigated with a center pivot irrigation system which was putting 1-1.25 inches of water with each irrigation event; however, the peak water recharge rate at both depths was declining with each irrigation. This coincided with peak growth period indicating rising ET demand of the crop than what was replenished by the irrigation. Later, two rain events, in addition to irrigation, replenished soil moisture in both layers. As the pivot was already running at a slow speed, slowing it further was not an option without triggering runoff for this soil type and this well capacity. Further in the season, when the crop started to senesce and ET demand declined, each irrigation event added to the moisture level of the soil. This allowed the producer to shut down the pivot between 70% starch line and physiological maturity for the crop to sustain at a relatively wet soil profile and leave the soil in relatively drier profile for the off-season.

In high ET demanding conditions of Western Oklahoma, crops often rely on moisture stored in deep soil profiles during the peak ET period when well capacities can’t keep up with crop water demand. In the high ET demanding environments of Oklahoma, irrigated agriculture depends heavily on profile moisture storage. Declining soil profile moisture is common during peak ET periods in high water demanding crops such as corn. These observations are useful if one starts the season with considerable moisture in the soil profile, however such trends may be absent if the season is started with a dry soil profile. Dry soil profiles can be recharged early in the season with pre-irrigation or deeper early irrigations (if allowed by the infiltration rate of the soil), when crop ET demand is low, to build the soil moisture profile. As such, sensors can be used in reducing the irrigation depth or skipping irrigation in early cropping systems if one starts with a full profile. This usually allows root growth through the profile to chase the moisture in deeper layers. It should be noted that the roots will grow and chase moisture only if there is a wet profile, and not through a dry soil profile.

Sensor installation and calibration are important for efficient use of these devices in irrigation decision making. Poor installation can often lead to poor data and wrong decision making. Although modern sensors are self/factory calibrated, some do provide the option to adjust threshold levels manually based on field observations. Early installation of sensors can be useful in making informed decisions as soon as the season starts. For a more detailed analysis of proper sensor installation, refer to BAE-1543. Producers are encouraged to integrate other means of irrigation planning with soil moisture sensing, such as a push rob to probe the soil profile or OSU Mesonet’s irrigation planner to further validate the sensor data. Further, the cliente should consider their irrigation capacities before investing in soil moisture sensors, as sensors may always show a deficit in low well capacities which cannot meet crop’s water demand. 

References:

Taghvaeian, S., D. Porter, J. Aguilar. 20221. Soil moisture-sensing systems for improving irrigation scheduling. BAE-1543. Oklahoma State Cooperative Extension. Available at: https://extension.okstate.edu/fact-sheets/soil-moisture-sensing-systems-for-improving-irrigation-scheduling.html

Datta, S., S. Taghvaeian, J. Stivers. Understanding soil water content and thresholds for irrigation management. BAE-1537. Oklahoma State Cooperative Extension. Available at: https://extension.okstate.edu/fact-sheets/understanding-soil-water-content-and-thresholds-for-irrigation-management.html

For more information please contact Sumit Sharma sumit.sharma@okstate.edu