Develop an Internet of Things Irrigation Valve for a Real Company

Name: Chet Udell
Affiliation: OSU | Openly Published Environmental Sensing Lab
Phone: 541-737-4043
Knowledge Required: You'll use the Adafruit Feather family of Arduino IDE-friendly processors and hardware.
Required knowledge:
• Experience with Circuits and Sensors
• Digital Logic
• Microprocessors (specifically Arduino IDE programmable)
• C/C++

• Javascript or other web based programming
• Web applet programming
• Wireless COM (WiFi, ATWINC1500 and or ESP8266, LoRa radio, Bluetooth, etc).

Motivation: • Experience working with a real company on a real product
• Make a direct impact on the environment and water resources
• Harness the power of Internet of Things and Cloud Data to make industry methods smarter
• Work with wireless sensors and actuators
• Design apps and algorithms
• Cross-disciplinary experience mixing EECS with Agriculture
Description: Develop an Internet of Things product for a Real Company! Agriculture consumes 70% of the planet’s accessible freshwater. Climate change continues to expand water-strained regions around the world. When farms over water crops, bad things happen.
P&R Surge Systems wants to partner with YOU to design the next smart precision-irrigation system for the agricultural industry. Your team will work directly with Dr. Chet Udell of OSU's Openly Published Environmental Sensing Lab and David Jurado, Operations Manager of P&R, to create an Open Source, modular, plug-and-play, internet-connected water valve system with soil moisture sensors. With hundreds of these in a field, you'll ensure water is only used where it is needed and that farmers and machines alike have access to real-time soil moisture content of their fields.
Objectives: • Modify a currently-existing water control valve to measure soil moisture and connect to the web for automation and data sharing
• Design an app for a client to specify parameters like water event scheduling, soil moisture thresholds, etc.
• Design algorithms to automate the valve based on client-set parameters
Deliverables: • 3 x Proof of concept IoT valve with soil-moisture sensor and IoT connectivity, functional and demonstrated in the field.
• Demonstrated Proof of concept apps or web applets that enable a client to program timing automation and moisture parameters
• Demonstrated Proof of concept web algorithms that automate valves based on parameters.
Other comments: Email Dr. Chet Udell for more details.

   D. Kevin McGrath
   Last modified: Mon Oct 16 16:07:06 2017