Project Info
IoT-based Adaptive Irrigation using Reclaimed Water
Qi Han | qhan@mines.edu
Junko Munakata Marr | jmmarr@mines.edu
Irrigation with saline water is a complex problem requiring consideration of many factors such as irrigation water quality, soil conditions, plant tolerance thresholds, and weather forecasts. This project will develop a prototype wireless sensor network and a control system that consider sensor inputs, user-defined thresholds and weather forecasts to determine when and where to irrigate. This project offers a transformative approach for landscape irrigation based on closed-loop control. Landscape irrigation accounts for a majority of urban summer domestic water use; irrigating with reclaimed water has the potential to substantially extend water resources but may pose hazards to environmental and plant health. Existing smart irrigation control systems have proved water-efficient but have limitations and have not been widely adopted. The system we are developing is unique in its combination of wireless water and soil quality sensors into an advanced network capable of controlling several critical agronomic variables, while welcoming but limiting the need for human inputs.
This project is a collaborative one between computer science and civil/environmental engineering.
More Information
Grand Engineering Challenge: Not applicable
Student Preparation
Qualifications
Good programming skills.
Time Commitment
20 hours/month
Skills/Techniques Gained
Skills in working with embedded systems and network programming.
Mentoring Plan
Weekly individual meetings, and weekly research group meetings.