Mar 5, 2025
How to Select the Right Soil Moisture Sensors for Irrigation Management Decisions?
Lake Mead, the nation’s largest reservoir, continues to decline to historic lows, posing a critical hydrological challenge in the Southwest with significant implications for Arizona agriculture. Prolonged and severe drought across the Colorado River Basin has led to cascading water-use reductions, including a Tier 1 shortage that has cut central Arizona’s agricultural water allocations by 65%.
The drought situation in Arizona has intensified significantly since late 2024 (see Figures 1 & 2 to determine the differences in extreme drought expansion), with extreme drought (D3) conditions spreading across much of the state. Yuma, La Paz, Maricopa, Gila, and now Greenlee counties are fully engulfed in D3 drought, while the expansion has also reached parts of Pima, Mohave, Yavapai, Navajo, Apache, Santa Cruz, Graham, and Cochise counties. This alarming trend signals a severe water deficit, raising serious concerns about its impact on agriculture, water resources, ecosystems, and communities statewide. This crisis underscores the urgent need for innovative strategies to sustain agriculture and secure water resources in the region.
One approach to addressing this crisis is implementing conservative water management, which includes adopting advanced soil moisture monitoring technologies. This raises an important question: How do you select the right soil moisture sensors for irrigation management decisions?
A wide range of soil moisture sensors are commercially available for agricultural use. However, selecting the most suitable sensor for Yuma’s arid environment, where soils are characterized by a pH greater than 8 requires careful consideration of key criteria. The selection process should focus on two critical aspects:
(a) Operational Feasibility:
- Telemetry: Real-time data transmission capabilities for remote monitoring.
- Sensor Cost: Affordability and long-term investment viability.
- Data Logging Cost: Expenses associated with data storage and accessibility.
- Ease of Operation: User-friendliness, installation requirements, and integration with existing systems.
(b) Performance Accuracy:
- Orientation: Proper sensor placement based on soil type, whether horizontal or vertical, to ensure accurate readings.
Calibration: Consideration of factory calibrations versus site-specific calibrations for improved measurement precision.


To contact Ali T. Mohammed go to:
alim3@arizona.edu