AgriTech Equipment Telemetry Dataset

This dataset provides detailed, time-stamped telemetry logs from smart agricultural machinery, including operational metrics, location data, and maintenance indicators. It enables advanced analytics for usage patterns, predictive maintenance, and farm management optimization, supporting both operational and strategic decision-making in precision agriculture.

  • opened 7 times
  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Predictive maintenance and equipment health monitoring

Sample rows

preview · 8 of 200 rows · all 21 columns
telemetry_idstringequipment_typestringbattery_voltagefloatmaintenance_requiredbooleanmanufacturerstringequipment_idstringmodelstringserial_numberstringtimestampdatetimelatitudefloatlongitudefloatfield_idstringoperator_idstringoperating_modestringengine_hoursfloatfuel_levelfloathydraulic_pressurefloattemperaturefloatspeedfloaterror_codestringnotesstring
TL0001tractor13.2falseJohn DeereEQ-101X950RJD-X950R-10012024-01-08T09:13:27Z36.889002-96.2211F-US1OP-201active350.683.8180735.219.8blankNormal operation, field tilling in progress.
TL0002harvester11.9trueFendtEQ-102Ideal 9TFD-9T-42022024-01-09T09:17:05Z47.4928111.01593F-GEROP-202maintenance1672.59.7212034.10MAIN401:ScheduledRoutine service check, high engine hours.
TL0003sprayer13.7falseAGCOEQ-103TerraGatorAG-TG-30112024-01-10T11:31:02Z41.23159-95.85642F-MIDOP-203active145.392.5122325.114.3blankPrecision spraying, tank full.
TL0004planter12.8falseKinzeEQ-1044905KN-4905-20242024-01-11T13:44:50Z39.83012-94.82241F-US2OP-204active312.763.2170128.511.9blankPlanting soybeans, optimal conditions.
TL0005irrigator11.5falseValleyEQ-1057000 SeriesVLY-7000-5122024-01-13T08:21:41Z42.30122-97.12017F-NEBOP-205standby150.452.19005.10blankWaiting for next irrigation cycle.
TL0006tractor12.6falseMahindraEQ-106575 DIMH-575DI-30232024-01-15T15:32:17Z28.6041277.32521F-INDOP-206active789.178.6199240.217.9blankHeavy workload, field plowing.
TL0007harvester12.1trueCase IHEQ-107Axial-Flow 6140CIH-6140-87122024-01-16T10:09:59Z49.28313-123.11271F-CANOP-207error1831.64.3205022.50E312:EngineOverheatError triggered, engine overheating.
TL0008sprayer13.5falseJactoEQ-108Uniport 3030JC-UP3030-00122024-01-18T06:32:29Z-23.54867-46.63967F-BRAOP-208active109.598.2114732.315.8blankSpraying in progress, high tank level.

What the 200 rows show

from the 200-row sample

Other (equipment type) stands out: mean battery_voltage is 0.0, against 12.6 for the rest.

  • 26%maintenance_required = true
  • 12.4median battery_voltage
  • 5operating modes
  • 20models
  • 300.3median engine_hours
  • 57.4median fuel_level
Mean battery_voltage by equipment_type200 rows
0102013.2tract…41 rows11.8harve…35 rows13.6spray…37 rows12.5plant…37 rows11.6irrig…34 rows0.0other16 rows
battery_voltage200 rows, in bands of 2
0701401600005013220816battery_voltage →

Median 12.4, from 0.0 to 14.1.

manufacturer184 rows with a value · 16 left blank
  1. John Deere28
  2. Valley19
  3. Mahindra15
  4. Rain Bird15
  5. Sonalika14
  6. AGCO13
  7. Fendt12
  8. Case IH12
  9. Jacto12
  10. Hardi12
21 columns by typefrom the column list below
  • string 11
  • float 8
  • datetime 1
  • boolean 1

Columns

21 columns in four groups
blueprint · 21 columns
columntypedescriptionexample
Text 11 columns
telemetry_idstringUnique identifier for each telemetry log entryuniqueTL0001
equipment_idstringUnique identifier for the piece of farm equipmentEQ-101
equipment_typestringType of equipment (e.g., tractor, harvester, sprayer)6 valuestractor
manufacturerstringManufacturer of the equipmentoptionalJohn Deere
modelstringModel name or number of the equipmentoptionalX950R
serial_numberstringManufacturer-assigned serial number for the equipmentoptionalJD-X950R-1001
field_idstringIdentifier for the field or plot where the equipment is operatingoptionalF-US1
operator_idstringIdentifier for the operator using the equipmentoptionalOP-201
operating_modestringCurrent operating mode of the equipment (e.g., idle, active, maintenance)idle · active · maintenance · error · standbyactive
error_codestringError or fault code reported by the equipment, if anyoptionalMAIN401:Scheduled
notesstringAdditional notes or comments related to the telemetry entryoptionalIdle test at GPS origin.
Numbers 8 columns
latitudefloatGPS latitude coordinate of the equipment at the time of logging-90 to 90 · optional36.889002
longitudefloatGPS longitude coordinate of the equipment at the time of logging-180 to 180 · optional-96.2211
engine_hoursfloatTotal engine operating hours at the time of logging0 or more · optional350.6
fuel_levelfloatCurrent fuel level as a percentage (0-100)0 to 100 · optional83.8
battery_voltagefloatCurrent battery voltage reading0 or more · optional13.2
hydraulic_pressurefloatHydraulic system pressure reading in PSI0 or more · optional1807
temperaturefloatAmbient or engine temperature in degrees Celsiusoptional35.2
speedfloatCurrent speed of the equipment in km/h0 or more · optional19.8
Dates and times 1 column
timestampdatetimeDate and time when the telemetry data was recorded2024-01-08T09:13:27Z
True or false 1 column
maintenance_requiredbooleanIndicates if maintenance is required based on telemetry dataoptionalfalse

Use it for

  • maintenance re…26%51 of 200 rowsmean battery voltage …13.2trac…11.8harv…13.6spra…12.5plan…

    An agriculture dashboard

    The maintenance_required rate, battery_voltage by equipment_type and a breakdown of manufacturer. Excel, Power BI or Tableau.

  • Why do the 16 other rows have a mean battery_voltage of 0.0?

    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 telemetries with equipment_id, equipment_type and manufacturer to fill a screen in front of a buyer.

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blueprint · agritech-equipment-telemetry-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 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
  • Equipment type: tractor, sprayer, harvester
  • Telemetry interval: 10-60 minutes
  • Operating hours per day capped at 16
  • Error codes injected at 3% rate
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
agritech-equipment-telemetry-dataset

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