What is the meaning of the nR5 irrigation variables when I export the data?

This is for nR5 nodes. For PlantPoint nodes see the support page for those nodes

When exporting the irrigation log files here is a definition of the output variables:
sensorValue: This is the value that local control is using to evaluate whether it should irrigate or not.
totalOnTime: This is the total time that the node irrigated within the five minute control window.

Status Codes:
0 – Unknown
10 – Beginning of scheduled event
11 – End of scheduled event
12 – Scheduled event stopped due to bad parameters
13 – Between two adjacent schedule events
20 – Beginning of local control event
21 – End of local control event
22 – Local control irrigation skipped due to sensor value
23 – Between two adjacent local control events
30 – Beginning of global control event
31 – End of global control event
32 – Global control irrigation skipped due to input values
33 – Between two adjacent global control events
40 – Beginning of manual control event
41 – End of manual control event
90 – Beginning of manual control event started from the serial port
91 – End of manual control event started from the serial port

Error Codes:
The error code represents a bit field so multiple error conditions may exist.
To determine the error take the error value and find the code that is the immediately lower or equal code. That is the error. For other errors subtract that code from the error value and repeat the above step.
For example an error of 33 means that the batteries are too low (code 32) and that there is not 24VAC detected for the solenoid (code 1).
64 – error: DC solenoid not connected
32 – error: batteries too low
16 – notice: control mode defaulting to ‘on’ because of missing information
8 – error: bad parameters prevented irrigation from running
4 – notice: event was stopped before completion
2 – notice: new event started while another event was active
1 – error: 24VAC not detected
0 – No error

We have been able to reduce our water use by 25%

Since incorporating the data we get from sensor web into our irrigation scheduling we have been able to reduce our water use by 25%, this has also allowed us to expand our production without expanding infrastructure. We also use less fertilizer since our leaching is reduced.
Terry Hines, Hale and Hines Nursery, Tennessee
Sensorweb
2014-07-16T08:39:11+00:00
Terry Hines, Hale and Hines Nursery, Tennessee
Since incorporating the data we get from sensor web into our irrigation scheduling we have been able to reduce our water use by 25%, this has also allowed us to expand our production without expanding infrastructure. We also use less fertilizer since our leaching is reduced.

Worked with Sensorweb for 5 years in my greenhouse. I would recommend Mayim to anyone without hesitation.

They have always been accessible and and attentive. Whenever I had an issue it was always resolved in a timely manner.

Charles Bauer, Flowers by Bauers

Sensorweb
2014-08-13T19:29:20+00:00

Charles Bauer, Flowers by Bauers

They have always been accessible and and attentive. Whenever I had an issue it was always resolved in a timely manner.

Sensorweb provides greater assurance that your plants are being watered correctly, not just some of the time, but all the time.

The system's capacity to provide real-time feedback allows me to monitor the moisture content of my plants with relative ease--from anywhere I have an internet connection. Sensorweb has elevated our irrigation from an art form to one, which is more technical and predictable.

Chris McCorkle, McCorkle Nurseries

Sensorweb
2015-02-11T12:21:56+00:00

Chris McCorkle, McCorkle Nurseries

The system’s capacity to provide real-time feedback allows me to monitor the moisture content of my plants with relative ease–from anywhere I have an internet connection. Sensorweb has elevated our irrigation from an art form to one, which is more technical and predictable.

It is a great tool for both researchers and for on-farm sensor-based irrigation.

Sensorweb has made it easy to get the data from a large number of sensors summarized
in graphs and spreadsheets.

Dr. Marc van Iersel, University of Georgia

Sensorweb
2014-08-14T10:45:22+00:00

Dr. Marc van Iersel, University of Georgia

Sensorweb has made it easy to get the data from a large number of sensors summarized in graphs and spreadsheets.

Sensorweb system makes Raemelton Farm more efficient in our use of water and more effective at producing beautiful trees, quickly

Tracking soil moisture and environmental conditions are key tasks in the efficient production of nursery crops. Sensorweb integrates these tasks into a single use-anywhere platform. The added ability to manage irrigation scheduling, remotely over our entire farm is a major labor saving benefit. Sensorweb is even able to provide warnings and notifications to our staff when conditions require human attention. The Sensorweb system makes Raemelton Farm more efficient in our use of water and more effective at producing beautiful trees, quickly.

Steve Black, Raemelton Farm

Sensorweb
2015-02-03T20:13:05+00:00

Steve Black, Raemelton Farm

Tracking soil moisture and environmental conditions are key tasks in the efficient production of nursery crops. Sensorweb integrates these tasks into a single use-anywhere platform. The added ability to manage irrigation scheduling, remotely over our entire farm is a major labor saving benefit. Sensorweb is even able to provide warnings and notifications to our staff View Full →

Sensorweb allows me to access greenroof data remotely; this expedited access to the data supports better and faster analysis for both research and teaching purposes.

Dr. Olyssa Starry, Portland State University

Sensorweb
2014-07-16T08:39:12+00:00

Dr. Olyssa Starry, Portland State University

Posted in Irrigation.