Turfgrass irrigation management

The challenges of keeping athletic turf and high-traffic areas green and healthy vary with the season. To combat this, many turf managers err on the side of caution by adding a little more irrigation time or spoon-feeding fertilizer in trouble areas. To avoid wet or dry extremes, use simple, accurate instruments for data that better informs your watering schedule.

Microclimate

Combining a weather station and soil moisture sensors provides comprehensive data about the soil beneath your landscape. Go beyond simply measuring if your soil is wet or dry. Detailed temperature, humidity, rainfall, wind speed, and solar radiation data can help you understand whether there is too little, too much, or the right amount of moisture.

ZL6 Data Logger next to a tablet and several screenshots. the tablet and screenshots show data visualizations from ZENTRA Cloud software

ZENTRA System

Customize your data collection and logging solution by combining multiple METER sensors with the ZL6 Data Logger and ZENTRA Cloud. ZENTRA stores your data in the cloud, allowing easy access to your data and near-real-time reports from all of your data loggers.

Avoid costly field visits by accessing your data from any web-connected device. Analyze it with ZENTRA Cloud’s built-in visualization tools, and easily share insights without tracking down log files on individual computers.

Learn more about ZENTRA

Case Studies

See how scientists, growers, and engineers have used METER solutions in the field.

Episode 10: Less irrigation: Is it always better for the environment?

Dr. Bryan Hopkins shares his latest experimental results using the newest techniques in water management for both turf and row crops.

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Perfecting turfgrass

Researchers are developing plants and management practices that help sports turf stand up to frequent use and perform well even during fall months.

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Irrigation scheduling: Solve the mystery of when to water

Water potential is a better indicator of plant available water than water content, but in most situations it’s useful to combine the data from both sensors.

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