Multi-Cluster Sensors | Smart Farm

Problem Statement/Challenge: There are a variety of new sensors either coming to market soon or just hitting the commercial market with capabilities to measure soil properties. One of the challenges for a farmer is to determine which one can bring value to the farm and which sensors have accurate measures and reading in a dryland prairie environment. The technology is an upfront investment and there is minimal (if any) third party data comparing the accuracy and functionality of these sensors. Placing a variety of sensors in a clustered format on the College and comparing the accuracy to in-season soil tests will help to develop a framework and neutral comparison of all the sensors and determine which are most valuable in the farming environment for Western Canada.  

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Multi-Sensor Cluster

Multi-Cluster Sensors | Smart Farm

Problem Statement/Challenge: There are a variety of new sensors either coming to market soon or just hitting the commercial market with capabilities to measure soil properties. One of the challenges for a farmer is to determine which one can bring value to the farm and which sensors have accurate measures and reading in a dryland prairie environment. The technology is an upfront investment and there is minimal (if any) third party data comparing the accuracy and functionality of these sensors. Placing a variety of sensors in a clustered format on the College and comparing the accuracy to in-season soil tests will help to develop a framework and neutral comparison of all the sensors and determine which are most valuable in the farming environment for Western Canada.

Solution/Value Proposition: The value of comparing the accuracy of each sensor allows farmers to determine cost and benefit of adding technology to the farm. When the sensors are accurate in reading moisture, environment and soil available nutrients it allows for faster decision making in season, obtaining instant results instead of waiting 5-10 days for lab tests to be returned. When weather conditions are favorable, being able to react quickly can allow a farmer to capture yield or respond to a negative event and improve crop response as soon as conditions change. Having these sensors in a cluster will also be critical in determining which provides the most value with accuracy in comparison to in season soil tests. The other value to this comparison will be evaluating the platforms in which each sensor collects data and the transfer of data from those platforms into the 'Connecting the Farm' platform. Plan to install Arable, capacitance/EP100, standing wave/MP306, Canopy temp sensor/EnvrioTherm 4000H, light interception/LINPAR and SQ-212.

Project Type: Validation and Demonstration

Start Date: April 2019

Sensor Multi-Cluster Sensors | Smart Farm