Synthetic Smart Agriculture Irrigation Logs
This dataset provides detailed logs of synthetic smart agriculture irrigation events, capturing water usage, crop type, sensor feedback, and weather conditions for each event. It enables advanced analytics for sustainability modeling, resource optimization, and precision farming by integrating environmental and operational data. Ideal for researchers, agronomists, and technology providers seeking to analyze irrigation efficiency and its impact on crop yield and resource consumption.
Sample rows
preview · 8 of 200 rows · all 15 columns| event_idstring | crop_typestring | water_volume_litersfloat | irrigation_methodstring | timestampdatetime | field_idstring | soil_moisture_beforefloat | soil_moisture_afterfloat | temperature_celsiusfloat | humidity_percentfloat | rainfall_mmfloat | sensor_statusstring | energy_consumption_kwhfloat | operator_idstring | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EVNT-0001A1B2 | wheat | 708.3 | drip | 2023-06-01T06:24:18Z | FIELD-101 | 38.2 | 52.6 | 17.3 | 62 | 1.3 | operational | 6.2 | OP-1001 | Routine scheduled irrigation event. |
| EVNT-0001A1B3 | corn | 893.9 | pivot | 2023-06-01T12:03:42Z | FIELD-102 | 32.7 | 47.1 | 22.2 | 55 | 2.2 | operational | 9.1 | OP-1002 | Pivot irrigation performed successfully. |
| EVNT-0001A1B4 | potato | 651.2 | sprinkler | 2023-06-01T19:17:08Z | FIELD-103 | 24.4 | 41.5 | 18.9 | 69 | 0 | operational | 4.8 | OP-1003 | Sprinkler system used for potatoes. |
| EVNT-0001A1B5 | lettuce | 41.3 | manual | 2023-06-02T07:43:15Z | FIELD-104 | 16.2 | 33.4 | 14.2 | 72 | 3.7 | maintenance | 0.7 | OP-1004 | Manual irrigation, maintenance routine. |
| EVNT-0001A1B6 | rice | 5728.4 | flood | 2023-06-02T13:57:41Z | FIELD-105 | 67.5 | 98.3 | 23.8 | 83 | 16.9 | operational | 31.6 | OP-1005 | Heavy flooding for rice field. |
| EVNT-0001A1B7 | soybean | 601.5 | sprinkler | 2023-06-03T05:06:27Z | FIELD-106 | 35.9 | 54.2 | 16.7 | 59 | 1.6 | operational | 5.9 | OP-1006 | Sprinkler event, soybean plot. |
| EVNT-0001A1B8 | tomato | 1280.6 | pivot | 2023-06-03T11:35:10Z | FIELD-107 | 29.3 | 66.1 | 34.9 | 18 | 0.2 | operational | 13.7 | OP-1007 | High-demand pivot irrigation for tomatoes. |
| EVNT-0001A1B9 | other | 0 | other | 2023-06-03T20:49:01Z | FIELD-108 | 100 | 100 | -30 | 0 | 250 | offline | 0 | blank | Sensor offline due to extreme weather; no irrigation performed. |
| EVNT-0001A1BA | corn | 1082.2 | flood | 2023-06-04T08:14:29Z | FIELD-109 | 41.7 | 69.2 | 31.4 | 25 | 0 | operational | 12.4 | OP-1008 | Flood irrigation, heat wave conditions. |
| EVNT-0001A1BB | rice | 6223 | flood | 2023-06-04T13:52:11Z | FIELD-110 | 59.8 | 93.4 | 26.6 | 89 | 32.3 | operational | 47.9 | OP-1009 | Seasonal rice flooding. |
| EVNT-0001A1BC | wheat | 612 | drip | 2023-06-05T04:31:40Z | FIELD-101 | 27.8 | 43.9 | 15.4 | 67 | 4.2 | operational | 5.3 | OP-1010 | Early morning drip irrigation for wheat. |
| EVNT-0001A1BD | potato | 782.6 | sprinkler | 2023-06-05T12:48:12Z | FIELD-102 | 39.4 | 60.1 | 19.7 | 63 | 2.8 | operational | 7.2 | OP-1011 | Sprinkler system, potato field. |
| EVNT-0001A1BE | lettuce | 29.7 | manual | 2023-06-06T09:19:35Z | FIELD-103 | 22.5 | 41.2 | 13.3 | 80 | 4.5 | maintenance | 0.4 | OP-1012 | Manual override for maintenance. |
| EVNT-0001A1BF | soybean | 744.4 | drip | 2023-06-06T19:33:56Z | FIELD-104 | 34 | 59.7 | 21.8 | 48 | 0.7 | operational | 8.2 | OP-1013 | Routine drip event for soybeans. |
| EVNT-0001A1C0 | wheat | 824.9 | drip | 2023-06-07T08:58:21Z | FIELD-105 | 41.2 | 64.3 | 16.6 | 73 | 3.2 | operational | 7.5 | OP-1014 | Wheat irrigation, high humidity. |
| EVNT-0001A1C1 | corn | 925.3 | pivot | 2023-06-07T17:27:04Z | FIELD-106 | 28.3 | 53.1 | 20.2 | 51 | 1.8 | operational | 9.7 | OP-1015 | Pivot system, corn plot. |
| EVNT-0001A1C2 | rice | 7379.1 | flood | 2023-06-08T06:12:49Z | FIELD-107 | 63.4 | 97.6 | 21 | 94 | 44.7 | operational | 41.2 | OP-1016 | Flooding for rice, high rainfall. |
| EVNT-0001A1C3 | lettuce | 22.6 | manual | 2023-06-08T14:41:33Z | FIELD-108 | 18.3 | 26.1 | 12.6 | 63 | 0.4 | operational | 0.2 | OP-1017 | Small plot manual irrigation. |
| EVNT-0001A1C4 | potato | 965.8 | sprinkler | 2023-06-09T10:55:57Z | FIELD-109 | 42.1 | 65 | 17.5 | 56 | 4.3 | operational | 8.5 | OP-1018 | Sprinkler for potatoes, moderate rainfall. |
| EVNT-0001A1C5 | soybean | 652.7 | drip | 2023-06-09T19:23:11Z | FIELD-110 | 36.6 | 58.3 | 20.8 | 49 | 1.3 | operational | 6.8 | OP-1019 | Soybean drip irrigation. |
What the 200 rows show
from the 200-row sampleRice (crop type) stands out: mean water_
- 650.3median water_
volume_ liters - 4sensor statuses
- 35.0median soil_
moisture_ before - 56.5median soil_
moisture_ after - 20.9median temperature_
celsius - 67.0median humidity_
percent
Median 650.3, from 0.0 to 9,887.
- string 7
- float 7
- datetime 1
Columns
15 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 7 columns | |||
event_id | string | Unique identifier for each irrigation eventunique | EVNT-0001A1B2 |
field_id | string | Identifier for the agricultural field or plot | FIELD-101 |
crop_type | string | Type of crop being irrigated (e.g., wheat, corn, rice)8 values | wheat |
irrigation_method | string | Method of irrigation used (e.g., drip, sprinkler, flood)6 values | drip |
sensor_status | string | Status of the sensor system during the event (e.g., operational, error, offline)operational · error · offline · maintenance | operational |
operator_id | string | Identifier for the operator or system responsible for the eventoptional | OP-1001 |
notes | string | Additional notes or comments about the eventoptional | Seasonal rice flooding. |
| Numbers 7 columns | |||
water_volume_liters | float | Total volume of water used for the event, in liters0 or more | 708.3 |
soil_moisture_before | float | Soil moisture percentage measured before irrigation0 to 100 | 38.2 |
soil_moisture_after | float | Soil moisture percentage measured after irrigation0 to 100 | 52.6 |
temperature_celsius | float | Ambient temperature at the time of irrigation, in Celsius-30 to 60 | 17.3 |
humidity_percent | float | Ambient humidity percentage at the time of irrigation0 to 100 | 62 |
rainfall_mm | float | Rainfall (in millimeters) in the last 24 hours before the event0 or more | 1.3 |
energy_consumption_kwh | float | Energy consumed for irrigation during the event, in kilowatt-hours0 or more · optional | 6.2 |
| Dates and times 1 column | |||
timestamp | datetime | Date and time when the irrigation event occurred | 2023-06-01T06:24:18Z |
Use it for
An agriculture dashboard
Water_
volume_ liters by crop_ type and a breakdown of irrigation_ method. Excel, Power BI or Tableau. Why do the 25 rice rows have a mean water_
volume_ liters of 5,893? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Events200EVNT-0001A1B2708.3wheatEVNT-0001A1B3893.9cornEVNT-0001A1B4651.2potato
A software demo
Believable events with timestamp, field_
id and crop_ type to fill a screen in front of a buyer.
This dataset200 rows15 columns
Yours1,000 rows15 columns
blueprint · synthetic-smart-agriculture-irrigation-logs
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 15 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 log records irrigation event
- Sensor feedback logged with event
- Crop type and weather impact assigned
- Water usage calculated
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- synthetic-smart-agriculture-irrigation-logs