Remote Farm IoT Device Health

This dataset provides real-time health and operational metrics for IoT devices deployed across remote agricultural fields. It enables AgTech startups and farm managers to monitor device status, analyze performance trends, and optimize maintenance schedules, ensuring maximum farm automation uptime and rapid response to device failures.

  • last updated 9 Jan 2026
  • by GoMask
The brief that made it

Proactive monitoring and maintenance scheduling for farm IoT devices

Sample rows

preview · 8 of 121 rows · all 18 columns
device_idstringoperational_statusstringbattery_levelfloatdevice_typestringfield_idstringfield_namestringlocation_latitudefloatlocation_longitudefloatinstallation_datedatelast_reported_atdatetimesignal_strengthfloattemperature_celsiusfloaterror_codestringerror_descriptionstringfirmware_versionstringlast_maintenance_datedatenext_scheduled_maintenancedatenotesstring
SS001_Aonline81.4soil_sensorFIELD01Orchard Valley37.3291-122.04192023-11-152024-06-05T09:15:23-53.222.7blankblankv2.3.52024-03-012024-09-01Working as expected. Soil moisture at optimal range.
WS-ALPHA_1online76.9weather_stationFIELD02Sunny Acres33.7892-118.25672022-09-202024-06-04T16:40:04-66.729.2blankblankv1.8.22024-02-142024-08-14Temperature and humidity readings stable.
IC9876-REmaintenanceblankirrigation_controllerFIELD03Riverbank Pasture41.2259-95.92352024-02-012024-06-05T05:11:02blankblankblankblankv3.0.12024-06-022024-12-02Firmware update in progress. System temporarily offline for checks.
CAM_0042XofflineblankcameraFIELD04North Ridge44.1098-123.1922021-06-122024-06-04T07:22:43blank-36.2blankblankv1.2.0blankblankCamera offline due to extreme cold and snow.
SS002_Bonline88.1soil_sensorFIELD01Orchard Valley37.3293-122.04222024-01-052024-06-05T10:03:11-62.418.3blankblankv2.4.12024-03-052024-09-05Low soil moisture detected. Irrigation recommended.
WS-BETA_2online92.7weather_stationFIELD05Green Terrace35.6718-117.81452023-03-122024-06-05T14:22:18-29.327.5blankblankv2.1.72024-03-202024-09-20Wind speed sensors recalibrated this week.
IC1234-ALerror13.2irrigation_controllerFIELD06Berry Patch36.8053-119.75312023-07-212024-06-04T12:15:09-112.475.8E201Pump relay failure detected.v1.9.22024-03-102024-09-10Urgent hardware replacement required.
OTH-EXP_01online57.8otherFIELD07Experimental Plot39.4821-104.87652024-05-282024-06-04T18:00:05-71.925.3blankblankv0.9.2-alphablankblankAI prototype sensor. Monitoring plant growth.

What the 121 rows show

from the 121-row sample

Online (operational status) stands out: mean battery_level is 77.5, against 10.8 for the rest.

  • 74.8median battery_level
  • -58.6median signal_strength
  • 19.9median temperature_celsius
Mean battery_level by operational_status97 rows
0408077.5online82 rows19.1maintenance1 rows10.2error14 rows
battery_level97 rows, in bands of 10
0153078001515242512050100battery_level →

Median 74.8, from 2.5 to 95.4.

device_type121 rows · 5 values
  1. irrigation_controller27
  2. soil_sensor26
  3. weather_station26
  4. camera26
  5. other16
18 columns by typefrom the column list below
  • string 9
  • float 5
  • date 3
  • datetime 1

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 9 columns
device_idstringUnique identifier for each IoT device deployed in the fielduniqueSS001_A
device_typestringType or model of the IoT device (e.g., soil sensor, weather station, irrigation controller)5 valuessoil_sensor
field_idstringUnique identifier for the agricultural field where the device is deployedFIELD01
field_namestringHuman-readable name of the agricultural fieldoptionalOrchard Valley
operational_statusstringCurrent operational status of the deviceonline · offline · maintenance · error · decommissionedonline
error_codestringDevice-reported error code if an error is presentoptionalE201
error_descriptionstringHuman-readable description of the error, if anyoptionalValve stuck open.
firmware_versionstringCurrent firmware version running on the deviceoptionalv2.3.5
notesstringAdditional notes or comments regarding the device's health or statusoptionalScheduled lens cleaning.
Numbers 5 columns
location_latitudefloatLatitude coordinate of the device's physical location-90 to 9037.3291
location_longitudefloatLongitude coordinate of the device's physical location-180 to 180-122.0419
battery_levelfloatCurrent battery level of the device, as a percentage (0-100)0 to 100 · optional81.4
signal_strengthfloatCurrent wireless signal strength in dBm-120 to 0 · optional-53.2
temperature_celsiusfloatCurrent internal temperature of the device in Celsius-40 to 85 · optional22.7
Dates and times 4 columns
installation_datedateDate when the device was installed in the field2023-11-15
last_reported_atdatetimeTimestamp of the most recent health/status report from the device2024-06-05T09:15:23
last_maintenance_datedateDate of the last maintenance performed on the deviceoptional2024-03-01
next_scheduled_maintenancedateDate of the next scheduled maintenance for the deviceoptional2024-09-01

Use it for

  • median battery…74.897 rowsmean battery level by…77.5online19.1mainte…10.2error

    An agriculture dashboard

    Battery_level by operational_status and a breakdown of device_type. Excel, Power BI or Tableau.

  • Why do the 82 online rows have a mean battery_level of 77.5?

    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 device_type, field_id and field_name to fill a screen in front of a buyer.

Not quite right?

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This dataset121 rows18 columns
Yours1,000 rows18 columnslocation_latitude: UK only

blueprint · remote-farm-iot-device-health

Behind this dataset

Same schema. As many rows as you need.

These 121 rows came out of a blueprint — 18 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 record includes a unique device ID and location.
  • Health status is reported as 'Operational', 'Warning', or 'Failed' based on sensor readings.
  • Uptime percentage calculated on a daily basis.
  • Error codes must be mapped to standardized descriptions for troubleshooting.
  • Maintenance actions are logged with timestamps and technician ID.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-farm-iot-device-health

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