Agricultural Water Usage Insights

This dataset provides detailed, field-level records of agricultural water usage, including crop type, irrigation method, water source, and yield data. It enables agritech and sustainability professionals to analyze water consumption patterns, benchmark efficiency across crop types and farms, and support ESG reporting for climate-resilient agriculture. The dataset is ideal for optimizing resource allocation, identifying inefficiencies, and tracking sustainability metrics.

  • last updated 6 Jan 2026
  • by GoMask
The brief that made it

Benchmarking water use efficiency across different crop types and farms

Sample rows

preview · 8 of 120 rows · all 23 columns
record_idstringirrigation_methodstringmeasurement_period_daysintegeresg_reportablebooleanaddress_statestringfarm_idstringfarm_namestringlocation_latitudefloatlocation_longitudefloataddress_streetstringaddress_citystringaddress_postal_codestringaddress_countrystringcrop_typestringcrop_varietystringfield_idstringwater_sourcestringmeasurement_datedatewater_volume_m3floatarea_hectaresfloatyield_tonnesfloatwater_use_efficiency_m3_per_tonnefloatnotesstring
WTR-0001flood60trueCAFARM-101Valley Acres36.7783-119.4179421 Fresno RdFresno93722USACornPioneer 1197CA1surface water2024-07-1013500.885.2752.517.94High-volume operation for summer crop
WTR-0002drip30falseblankFARM-102Green Leaf Hydro51.5074-0.127888 Hydro LaneLondonE1 6ANUKLettuceSalanova GreenGL01municipal2024-05-1752.40.43.216.38blank
WTR-0003rainfed87trueblankFARM-103Rainfed Roots58.96995.73312 NordvegenStavanger4001NorwayWheatNorin 61RR01rainwater2024-08-12014.151.70No supplemental irrigation
WTR-0004flood102trueCAFARM-104MegaAg Extreme34.0522-118.2437500 Extreme BlvdLos Angeles90012USARiceKoshihikariMX1surface water2024-06-031100001200950011.58Standard season, high yield
WTR-0005other22falseNYFARM-105Urban Sprout40.7128-74.006211 Sprout AveNew York10007USAKaleRed RussianUS1recycled2024-04-2418.20.080.6528Pilot hydroponic test bed
WTR-0006flood106trueblankFARM-106Sustainable Shores35.6895139.6917101 Tokyo StTokyo100-0001JapanRiceHitomeboreJP1surface water2024-06-1890000780770011.69blank
WTR-0007drip45trueCAFARM-107blank37.7749-122.419488 Bay Farm RdSan Francisco94121USAGrapesChardonnaySF2groundwater2024-09-061200.513.338.431.28blank
WTR-0008sprinkler36falseNSWFARM-108Pepper Patch33.8688151.209319 Market LnSydney2000AustraliaPeppersRed BellPP3surface water2024-02-102400.43.524.299.17Standard season

What the 120 rows show

from the 120-row sample

Other (irrigation method) stands out: mean measurement_period_days is 11.9, against 55.6 for the rest.

  • 65%esg_reportable = true
  • 39.5median measurement_period_days
  • 6water sources
  • 10address countries
  • 18crop types
  • 1,165median water_volume_m3
Mean measurement_period_days by irrigation_method120 rows
0408029.0drip35 rows54.4sprink…19 rows73.8flood27 rows78.0rainfed21 rows11.9other18 rows
measurement_period_days120 rows, in bands of 20
02550194119141611060120measurement_period_days →

Median 39.5, from 1 to 120.

address_state66 rows with a value · 54 left blank
  1. CA24
  2. NSW5
  3. MA4
  4. IL4
  5. NY2
  6. WA2
  7. CO2
  8. TX2
  9. MN2
  10. AZ2
23 columns by typefrom the column list below
  • string 14
  • integer 1
  • float 6
  • date 1
  • boolean 1

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 14 columns
record_idstringUnique identifier for each water usage recorduniqueWTR-0001
farm_idstringUnique identifier for the farm or agricultural siteFARM-101
farm_namestringName of the farm or agricultural operationoptionalValley Acres
address_streetstringStreet address of the farmoptional421 Fresno Rd
address_citystringCity where the farm is locatedoptionalFresno
address_statestringState or province where the farm is locatedoptionalCA
address_postal_codestringPostal or ZIP code of the farm locationoptional93722
address_countrystringCountry where the farm is located10 countries · optionalUSA
crop_typestringType of crop grown in the field or plotCorn
crop_varietystringSpecific variety or cultivar of the cropoptionalPioneer 1197
field_idstringUnique identifier for the field or plot within the farmoptionalCA1
irrigation_methodstringMethod of irrigation used (e.g., drip, sprinkler, flood, rainfed)drip · sprinkler · flood · rainfed · otherflood
water_sourcestringPrimary source of water used (e.g., groundwater, surface water, rainwater, recycled)6 valuessurface water
notesstringAdditional notes or comments about the recordoptionalStandard season
Numbers 7 columns
location_latitudefloatLatitude coordinate of the farm location-90 to 9036.7783
location_longitudefloatLongitude coordinate of the farm location-180 to 180-119.4179
water_volume_m3floatTotal volume of water used during the measurement period (in cubic meters)0 or more13500.8
measurement_period_daysintegerNumber of days covered by the water usage measurement1 or more60
area_hectaresfloatArea of the field or plot in hectares0 or more85.2
yield_tonnesfloatCrop yield harvested during the measurement period (in tonnes)0 or more · optional752.5
water_use_efficiency_m3_per_tonnefloatCalculated water use efficiency (cubic meters of water per tonne of yield)0 or more · optional17.94
Dates and times 1 column
measurement_datedateDate when water usage was measured or recorded2024-07-10
True or false 1 column
esg_reportablebooleanIndicates if this record is included in ESG (Environmental, Social, Governance) reportingoptionaltrue

Use it for

  • esg reportable65%71 of 109 rowsmean measurement peri…29.0drip54.4spri…73.8flood78.0rain…

    An agriculture dashboard

    The esg_reportable rate, measurement_period_days by irrigation_method and a breakdown of address_state. Excel, Power BI or Tableau.

  • Why do the 18 other rows have a mean measurement_period_days of 11.9?

    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 records with farm_id, farm_name and location_latitude to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset120 rows23 columns
Yours1,000 rows23 columnslocation_latitude: UK only

blueprint · agricultural-water-usage-insights

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 23 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 row represents one farm and crop type per month.
  • Water usage readings measured in cubic meters.
  • Include crop-specific irrigation method (drip, flood, sprinkler).
  • Flag anomalies when usage exceeds regional crop benchmarks.
  • Capture monthly rainfall as context feature.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
agricultural-water-usage-insights

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