Agriculture
23 columns
75 rows
8 formats

Agritech Crop Yield Prediction Logs

This dataset provides detailed logs of AI-driven crop yield predictions, integrating sensor readings, climate variables, operational inputs, and model metadata for each farm and field. It enables agritech startups and researchers to benchmark prediction accuracy, optimize resource allocation, and refine forecasting models for sustainable agriculture at scale.

last updated 15 Dec 2025
by GoMask

The brief that made it

Benchmarking and comparing AI crop yield prediction models

Sample rows

preview · 8 of 75 rows · all 23 columns

log_idstring	operational_fertilizer_typestring	operational_fertilizer_amount_kgfloat	crop_typestring	timestampdatetime	farm_idstring	field_idstring	seasonstring	sensor_data_temperaturefloat	sensor_data_humidityfloat	sensor_data_soil_moisturefloat	sensor_data_phfloat	climate_rainfall_mmfloat	climate_sunlight_hoursfloat	operational_irrigation_typestring	operational_irrigation_amount_litersfloat	ai_model_namestring	ai_model_versionstring	predicted_yield_kg_per_hectarefloat	actual_yield_kg_per_hectarefloat	prediction_error_kg_per_hectarefloat	resource_allocation_notesstring	model_refinement_notesstring
LOG-2024-001	NPK	90	wheat	2024-03-15T09:21:00	FARM-NORTH-01	FIELD-01A	Spring 2024	16.4	57.2	42.1	6.5	112	148.5	sprinkler	18000	AgroYieldNet	v3.0	5295	5100	-195	Reallocated water due to lower-than-expected rainfall.	Consider adding satellite imagery features.
LOG-2024-002	urea	85	corn	2024-03-16T10:04:00	FARM-NORTH-01	FIELD-02B	Spring 2024	17.9	62.5	47.3	6.9	95.5	144.7	drip	17200	CropForecastAI	2.1	7342.4	7250	-92.4	blank	Model underestimates effect of high humidity.
LOG-2024-003	DAP	125	rice	2024-03-17T11:32:00	FARM-SOUTH-02	FIELD-03C	Spring 2024	19.2	68.8	65.7	5.4	155	132.3	flood	29500	YieldVision	1.8	6220	6375.5	155.5	Extra fertilizer applied after initial prediction.	Model performs well in high rainfall.
LOG-2024-004	NPK	67	soybean	2024-03-18T14:50:00	FARM-EAST-03	FIELD-04A	Spring 2024	15.7	54.1	39.2	6.2	60.3	153.2	sprinkler	11000	AgroYieldNet	v3.0	4210	4300	90	Allocated extra sunlight hours for photosynthesis.	Slight overprediction noted.
LOG-2024-005	urea	92	wheat	2024-03-19T08:14:00	FARM-EAST-03	FIELD-05B	Spring 2024	14.1	49.8	41.9	6.7	87.5	140	drip	18900	CropForecastAI	2.1	5110.5	5082	-28.5	blank	blank
LOG-2024-006	NPK	81	corn	2024-03-20T16:34:00	FARM-WEST-04	FIELD-06C	Spring 2024	16.8	60.7	53.2	7.2	71	151.7	sprinkler	17800	YieldVision	1.8	7420.3	7500	79.7	blank	Model slightly underpredicts in lower rainfall.
LOG-2024-007	DAP	140	rice	2024-03-21T10:17:00	FARM-WEST-04	FIELD-07A	Spring 2024	20.3	70.5	68.9	5.9	175	130.4	flood	31000	AgroYieldNet	v3.0	6302	6250	-52	Heavy rainfall reduced irrigation needs.	Add rainfall as direct input.
LOG-2024-008	NPK	65	soybean	2024-03-22T13:41:00	FARM-NORTH-01	FIELD-08B	Spring 2024	15.2	55	40	6.3	62.4	149.7	drip	12000	CropForecastAI	2.1	4297	blank	blank	blank	Missing actual yield data.
LOG-2024-009	NPK	98	wheat	2024-03-23T11:22:00	FARM-SOUTH-02	FIELD-09A	Spring 2024	17	59.3	44.5	6.8	105	146.9	sprinkler	18200	YieldVision	1.8	5340	5405.2	65.2	blank	blank
LOG-2024-010	urea	88	corn	2024-03-24T09:57:00	FARM-EAST-03	FIELD-10C	Spring 2024	18.3	64.2	49	7.1	80	152	drip	17000	AgroYieldNet	v3.0	7200	blank	blank	Irrigation reduced due to forecasted rainfall.	blank
LOG-2024-011	DAP	135	rice	2024-03-25T15:12:00	FARM-WEST-04	FIELD-11A	Spring 2024	21	72	72.5	5.7	182	131	flood	32000	CropForecastAI	2.1	6380	6400	20	blank	blank
LOG-2024-012	NPK	70	soybean	2024-03-26T09:03:00	FARM-NORTH-01	FIELD-12B	Spring 2024	16.1	53.4	38.6	6.4	58	154	drip	12500	YieldVision	1.8	4150	4080	-70	blank	Early harvest reduced yield.
LOG-2024-013	urea	100	wheat	2024-03-27T17:20:00	FARM-SOUTH-02	FIELD-13A	Spring 2024	18.5	60.5	46	blank	110	147	sprinkler	18800	AgroYieldNet	v3.0	5400	5475	75	blank	Soil pH sensor malfunction.
LOG-2024-014	NPK	95	corn	2024-03-28T08:35:00	FARM-EAST-03	FIELD-14C	Spring 2024	19.5	65	50.3	7	90	150	drip	17500	YieldVision	1.8	7283	7350	67	blank	blank
LOG-2024-015	DAP	145	rice	2024-03-29T14:18:00	FARM-WEST-04	FIELD-15A	Spring 2024	20.8	71.2	70	5.8	185	132.5	flood	32500	CropForecastAI	2.1	6420	6500	80	blank	blank
LOG-2024-016	NPK	72	soybean	2024-03-30T09:46:00	FARM-NORTH-01	FIELD-16B	Spring 2024	15.4	56.3	41.5	6.5	59	151	drip	12800	YieldVision	1.8	4230	blank	blank	blank	blank
LOG-2024-017	urea	102	wheat	2024-04-01T10:03:00	FARM-SOUTH-02	FIELD-17A	Spring 2024	17.8	61.5	48.8	7	118	148	sprinkler	19000	AgroYieldNet	v3.0	5450	5380	-70	Water supply increased due to dry weather.	blank
LOG-2024-018	NPK	97	corn	2024-04-02T12:19:00	FARM-EAST-03	FIELD-18C	Spring 2024	18.7	63	50.5	7.3	83	153	drip	17700	YieldVision	1.8	7320	7300	-20	blank	Yield matches prediction.
LOG-2024-019	DAP	150	rice	2024-04-03T08:25:00	FARM-WEST-04	FIELD-19A	Spring 2024	21.3	74.5	75	5.6	190	133	flood	33000	AgroYieldNet	v3.0	6480	6575	95	blank	blank
LOG-2024-020	NPK	75	soybean	2024-04-04T11:32:00	FARM-NORTH-01	FIELD-20B	Spring 2024	16.9	58.2	43.2	6.6	62	152	drip	13000	CropForecastAI	2.1	4320	4305	-15	blank	blank

What the 75 rows show

from the 75-row sample

Urea (operational fertilizer type) stands out: mean operational_fertilizer_amount_kg is 192.2, against 110.5 for the rest.

116.0median operational_fertilizer_amount_kg
3operational irrigation types
5seasons
5ai model names
20.6median sensor_data_temperature
64.2median sensor_data_humidity

Mean operational_fertilizer_amount_kg by operational_fertilizer_type74 rows

operational_fertilizer_amount_kg74 rows, in bands of 20

Median 116.0, from 65.0 to 203.0.

crop_type75 rows · 6 values

wheat17
rice17
corn16
soybean13
barley7
maize5

23 columns by typefrom the column list below

string 11
float 11
datetime 1

Columns

23 columns in three groups

blueprint · 23 columns
column	type	description	example
Text 11 columns
`log_id`	string	Unique identifier for each crop yield prediction log entryunique	LOG-2024-001
`farm_id`	string	Unique identifier for the farm where the prediction was made	FARM-NORTH-01
`field_id`	string	Unique identifier for the specific field or plot within the farm	FIELD-01A
`crop_type`	string	Type of crop being predicted (e.g., wheat, corn, rice)6 types	wheat
`season`	string	Season for which the prediction is made (e.g., Spring 2024)5 seasons	Spring 2024
`operational_fertilizer_type`	string	Type of fertilizer used during the prediction period6 types · optional	NPK
`operational_irrigation_type`	string	Type of irrigation method used (e.g., drip, sprinkler, flood)3 types · optional	sprinkler
`ai_model_name`	string	Name or identifier of the AI model used for prediction5 names	AgroYieldNet
`ai_model_version`	string	Version of the AI model usedoptional	v3.0
`resource_allocation_notes`	string	Notes on resource allocation decisions based on predictionoptional	No adjustments needed.
`model_refinement_notes`	string	Notes or recommendations for refining the AI modeloptional	Yield on target.
Numbers 11 columns
`sensor_data_temperature`	float	Average temperature reading from sensors (°C)-50 to 60	16.4
`sensor_data_humidity`	float	Average humidity reading from sensors (%)0 to 100	57.2
`sensor_data_soil_moisture`	float	Average soil moisture reading from sensors (%)0 to 100	42.1
`sensor_data_ph`	float	Average soil pH reading from sensors0 to 14 · optional	6.5
`climate_rainfall_mm`	float	Total rainfall in millimeters during the prediction period0 or more	112
`climate_sunlight_hours`	float	Total sunlight hours during the prediction period0 or more	148.5
`operational_fertilizer_amount_kg`	float	Amount of fertilizer applied in kilograms0 or more · optional	90
`operational_irrigation_amount_liters`	float	Total amount of water used for irrigation in liters0 or more · optional	18000
`predicted_yield_kg_per_hectare`	float	Predicted crop yield in kilograms per hectare0 or more	5295
`actual_yield_kg_per_hectare`	float	Actual measured crop yield in kilograms per hectare (if available)0 or more · optional	5100
`prediction_error_kg_per_hectare`	float	Difference between predicted and actual yield in kilograms per hectareoptional	-195
Dates and times 1 column
`timestamp`	datetime	Date and time when the prediction was made	2024-03-15T09:21:00

Use it for

An agriculture dashboard
Operational_fertilizer_amount_kg by operational_fertilizer_type and a breakdown of crop_type. Excel, Power BI or Tableau.
Why do the 11 Urea rows have a mean operational_fertilizer_amount_kg of 192.2?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs75
LOG-2024-00190NPK
LOG-2024-00285urea
LOG-2024-003125DAP
A software demo
Believable logs with timestamp, farm_id and field_id to fill a screen in front of a buyer.

This dataset75 rows23 columns

Yours1,000 rows23 columns

blueprint · agritech-crop-yield-prediction-logs

Behind this dataset

Same schema. As many rows as you need.

These 75 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

Include sensor readings for soil moisture, temperature, and sunlight per plot
Log actual vs. predicted yields for each crop cycle
Record variable inputs: fertilizer type, irrigation method, planting density
Flag anomalies where predicted yield deviates >15% from actual
Capture operational notes for equipment or weather disruptions

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

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: agritech-crop-yield-prediction-logs

What should your data show?

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Sample rows

What the 75 rows show

Columns

Use it for

An agriculture dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Agriculture

What should your data show?