Smart Irrigation Device Uptime Metrics

This dataset provides detailed operational and performance metrics for smart irrigation devices deployed across distributed farms, including uptime, downtime, water dispensed, maintenance history, and device health indicators. It enables agriculture managers and IoT teams to optimize device reliability, schedule proactive maintenance, and improve water usage efficiency at scale. The dataset supports geospatial, temporal, and farm-level analysis for robust agricultural operations management.

  • last updated 21 Jan 2026
  • by GoMask
The brief that made it

Monitor device uptime and reliability across multiple farms

Sample rows

preview · 8 of 80 rows · all 17 columns
device_idstringoperational_statusstringbattery_level_percentfloatfirmware_versionstringfarm_idstringdevice_location_latitudefloatdevice_location_longitudefloatdevice_modelstringstatus_timestampdatetimeuptime_secondsintegerdowntime_secondsintegerlast_maintenance_datedatenext_maintenance_due_datedatewater_dispensed_litersfloatsignal_strength_dbmfloaterror_codestringnotesstring
DEV-001online82.7v2.3.1FARM-NW-0147.6132-122.3356AquaEdge X32024-06-01T08:20:21853201202024-05-102024-07-103200.4-65.4blankDevice running as expected.
DEV-002maintenance76.1v2.3.1FARM-SE-0235.0428-90.0216AquaEdge X32024-06-01T09:12:557200036002024-06-012024-08-012890-71.2blankFilters replaced during routine check.
DEV-003offline49.8v1.9.6FARM-CN-0340.7127-74.0059RainMaster 2002024-06-01T07:51:340144002024-05-202024-07-200-80.3blankAwaiting technician visit.
DEV-004online89.2v2.3.1FARM-NW-0147.6129-122.3361AquaEdge X32024-06-01T10:03:2690220302024-05-152024-07-153500.9-63.7blankNo issues detected.
DEV-005error16.2v1.5.3FARM-SE-0235.0453-90.0197HydroPulse S2024-06-01T06:47:106000080002024-05-112024-06-302100-85.6ERR-433Valve stuck, requires urgent fix.
DEV-006online92.5v1.9.8FARM-WEST-0534.0522-118.2437RainMaster 2002024-06-01T11:23:1795120602024-05-052024-07-053980.1-61.2blankExcellent signal, battery fully charged.
DEV-007online77.3v1.5.1FARM-WEST-0534.0533-118.2445HydroPulse S2024-06-01T07:05:5180330902024-05-042024-07-042750.8-68.9blankRunning normally.
DEV-008maintenance64.3v1.9.6FARM-CN-0340.7131-74.0072RainMaster 2002024-06-01T08:18:3150000108002024-06-012024-08-011100-78.4blankPump replaced during maintenance.

What the 80 rows show

from the 80-row sample

Error (operational status) stands out: mean battery_level_percent is 24.3, against 71.8 for the rest.

  • 73.8median battery_level_percent
  • 7device models
  • 81,127median uptime_seconds
  • 380.5median downtime_seconds
  • 2,307median water_dispensed_liters
  • -70.8median signal_strength_dbm
Mean battery_level_percent by operational_status80 rows
05010084.0online44 rows37.6offline14 rows66.1maintena…11 rows24.3error11 rows
battery_level_percent80 rows, in bands of 10
091814675411111813050100battery_level_percent →

Median 73.8, from 8.7 to 99.0.

firmware_version80 rows · top 10 of 15 values
  1. v2.5.111
  2. v2.4.910
  3. v2.5.210
  4. v3.1.09
  5. v2.3.16
  6. v2.3.26
  7. v1.9.84
  8. v1.9.74
  9. v1.5.24
  10. v1.9.63
17 columns by typefrom the column list below
  • string 7
  • integer 2
  • float 5
  • date 2
  • datetime 1

Columns

17 columns in three groups
blueprint · 17 columns
columntypedescriptionexample
Text 7 columns
device_idstringUnique identifier for each smart irrigation deviceDEV-001
farm_idstringUnique identifier for the farm where the device is deployedFARM-NW-01
device_modelstringModel name or number of the smart irrigation device7 models · optionalAquaEdge X3
firmware_versionstringCurrent firmware version installed on the deviceoptionalv2.3.1
operational_statusstringCurrent operational status of the deviceonline · offline · maintenance · erroronline
error_codestringError code reported by the device, if anyoptionalERR-433
notesstringAdditional notes or comments about the device status or maintenanceoptionalNo issues detected.
Numbers 7 columns
device_location_latitudefloatLatitude coordinate of the device's physical location-90 to 9047.6132
device_location_longitudefloatLongitude coordinate of the device's physical location-180 to 180-122.3356
uptime_secondsintegerTotal number of seconds the device has been operational since last reset0 or more85320
downtime_secondsintegerTotal number of seconds the device has been non-operational since last reset0 or more120
water_dispensed_litersfloatTotal volume of water dispensed by the device (in liters) during the reporting period0 or more · optional3200.4
signal_strength_dbmfloatWireless signal strength of the device in dBm at the time of status recordingoptional-65.4
battery_level_percentfloatBattery level of the device as a percentage (0-100)0 to 100 · optional82.7
Dates and times 3 columns
status_timestampdatetimeDate and time when the device status was recorded2024-06-01T08:20:21
last_maintenance_datedateDate when the device last underwent maintenanceoptional2024-05-10
next_maintenance_due_datedateScheduled date for the device's next maintenanceoptional2024-07-10

Use it for

  • median battery…73.880 rowsmean battery level pe…84.0onli…37.6offl…66.1main…24.3error

    An agriculture dashboard

    Battery_level_percent by operational_status and a breakdown of firmware_version. Excel, Power BI or Tableau.

  • Why do the 11 error rows have a mean battery_level_percent of 24.3?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable devices with farm_id, device_location_latitude and device_location_longitude to fill a screen in front of a buyer.

Not quite right?

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Same 17 columns, your size and your rules. See 20 rows before you pay.

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This dataset80 rows17 columns
Yours10,000 rows17 columnsdevice_location_latitude: UK only

blueprint · smart-irrigation-device-uptime-metrics

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each device reports uptime status every day
  • Include fault codes for downtime events
  • Capture maintenance intervention timestamps
  • Track water usage per operational hour
  • Devices must be uniquely identifiable
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
smart-irrigation-device-uptime-metrics

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