Agriculture
14 columns
120 rows
8 formats

IoT Crop Storage Temperature Log

This dataset provides granular, time-stamped temperature and humidity readings from IoT sensors across agricultural crop storage facilities. It supports real-time monitoring, anomaly detection, and compliance tracking, enabling supply chain managers to prevent spoilage, optimize energy use, and ensure food safety. The inclusion of alert and compliance flags makes it ideal for predictive analytics and regulatory reporting.

last updated 21 Dec 2025
by GoMask

The brief that made it

Real-time monitoring of crop storage conditions for spoilage prevention

Sample rows

preview · 8 of 120 rows · all 14 columns

reading_idstring	sensor_statusstring	temperature_celsiusfloat	alert_flagboolean	facility_namestring	sensor_idstring	facility_idstring	zonestring	timestampdatetime	humidity_percentfloat	battery_level_percentfloat	alert_typestring	compliance_flagboolean	notesstring
R3G9KJ82	active	22.7	false	Green Valley Storage	SENSOR001	FAC1001	north_wall	2024-06-01T06:13:17Z	55.2	81.3	blank	true	blank
7HTL2X9Q	active	24.5	false	Green Valley Storage	SENSOR002	FAC1001	south_wall	2024-06-01T06:17:33Z	62.3	74.1	blank	true	blank
NM5PK8CZ	active	19.6	false	Sunny Acres Facility	SENSOR003	FAC1002	aisle_1	2024-06-01T06:24:57Z	61.8	93.4	blank	true	Routine reading
XT9R2D3J	active	27.2	false	Sunny Acres Facility	SENSOR004	FAC1002	aisle_3	2024-06-01T06:32:20Z	43	65.7	blank	true	blank
JY3L6K8B	active	15.4	false	Harvest Central	SENSOR005	FAC1003	entry_area	2024-06-01T06:38:52Z	38.6	57.2	blank	true	blank
QW8Z4N6M	active	32.9	false	Harvest Central	SENSOR006	FAC1003	storage_bay_1	2024-06-01T06:45:37Z	41.1	64.8	blank	true	blank
KL9P2Y7V	active	35	false	Westfield Grain Depot	SENSOR007	FAC1004	upper_level	2024-06-01T06:52:03Z	45.2	55.6	blank	true	blank
GJ2B6S9D	active	25.7	false	Westfield Grain Depot	SENSOR008	FAC1004	lower_level	2024-06-01T07:01:45Z	66.1	77.2	blank	true	blank
LQ7V3F5X	active	29.3	false	Riverbend Storage	SENSOR009	FAC1005	central_aisle	2024-06-01T07:13:08Z	59.5	88.9	blank	true	blank
FZ3N6K1M	active	18.2	false	Riverbend Storage	SENSOR010	FAC1005	loading_dock	2024-06-01T07:25:21Z	57.7	70.1	blank	true	blank
C9Q8P6D2	active	33.7	false	Oakridge Farm	SENSOR011	FAC1006	east_zone	2024-06-01T07:32:45Z	37.3	68.4	blank	true	blank
VY8T1M5J	active	21.8	false	Oakridge Farm	SENSOR012	FAC1006	west_zone	2024-06-01T07:39:17Z	36.5	90.2	blank	true	blank
RM3K8Q4S	active	36.2	false	Prairie Fields	SENSOR013	FAC1007	receiving_area	2024-06-01T07:48:01Z	48.4	59.7	blank	true	blank
WZ6B3K8P	active	23.4	false	Prairie Fields	SENSOR014	FAC1007	packing_zone	2024-06-01T07:55:39Z	68.2	51.6	blank	true	Routine check
HT5N7Q8X	active	31.8	false	Maple Leaf Storage	SENSOR015	FAC1008	aisle_2	2024-06-01T08:01:23Z	57.4	86.3	blank	true	blank
PY6M2W3G	active	5.2	false	Maple Leaf Storage	SENSOR016	FAC1008	freezer_area	2024-06-01T08:06:39Z	34.8	79.2	blank	true	blank
KX9J3S8V	active	14.8	false	Sunrise Storage Hub	SENSOR017	FAC1009	south_east	2024-06-01T08:13:18Z	41.9	61.7	blank	true	blank
MZ8W1K3L	active	28.9	false	Sunrise Storage Hub	SENSOR018	FAC1009	north_east	2024-06-01T08:21:46Z	69.2	74.5	blank	true	blank
QJ5K2N8T	active	17.6	false	Evergreen Storage	SENSOR019	FAC1010	entry_zone	2024-06-01T08:29:10Z	60.1	83.9	blank	true	blank
YZ2L8K5W	active	11.9	false	Evergreen Storage	SENSOR020	FAC1010	freezer_section	2024-06-01T08:35:27Z	55.6	67.4	blank	true	Routine check

What the 120 rows show

from the 120-row sample

Inactive (sensor status) stands out: mean temperature_celsius is -35.9, against 29.1 for the rest.

23%alert_flag = true
25.3median temperature_celsius
3alert types
21sensors
32facilities
33zones

temperature_celsius118 rows, in bands of 20

Median 25.3, from -40.0 to 80.0.

facility_name119 rows with a value · 1 left blank

Sunny Acres Facility6
Granary East-Delta6
WheatStack Facility6
Midwest Grain Storage6
Delta Rice Storage6
Harvest Central5
Oakridge Farm5
Sunrise Storage Hub5
Green Valley Storage4
Westfield Grain Depot4

14 columns by typefrom the column list below

string 8
float 3
datetime 1
boolean 2

Columns

14 columns in four groups

blueprint · 14 columns
column	type	description	example
Text 8 columns
`reading_id`	string	Unique identifier for each temperature reading record.unique	R3G9KJ82
`sensor_id`	string	Unique identifier for the IoT sensor device.	SENSOR001
`facility_id`	string	Unique identifier for the crop storage facility where the sensor is installed.	FAC1001
`facility_name`	string	Human-readable name of the crop storage facility.optional	Green Valley Storage
`zone`	string	Specific zone or section within the facility where the sensor is located (e.g., 'north_wall', 'aisle_3').optional	north_wall
`sensor_status`	string	Operational status of the sensor at the time of reading.active · inactive · error · maintenance · optional	active
`alert_type`	string	Type of alert triggered (e.g., 'high_temp', 'low_temp', 'sensor_failure').4 values · optional	high_temp
`notes`	string	Optional free-text notes about the reading or sensor status.optional	Routine reading
Numbers 3 columns
`temperature_celsius`	float	Measured temperature in degrees Celsius.-40 to 80	22.7
`humidity_percent`	float	Measured relative humidity as a percentage.0 to 100 · optional	55.2
`battery_level_percent`	float	Sensor battery level as a percentage at the time of reading.0 to 100 · optional	81.3
Dates and times 1 column
`timestamp`	datetime	Date and time when the temperature reading was recorded (in UTC).	2024-06-01T06:13:17Z
True or false 2 columns
`alert_flag`	boolean	Indicates if the reading triggered an alert (e.g., temperature out of safe range).optional	false
`compliance_flag`	boolean	Indicates if the reading is within regulatory compliance thresholds.optional	true

Use it for

An agriculture dashboard
The alert_flag rate, temperature_celsius by sensor_status and a breakdown of facility_name. Excel, Power BI or Tableau.
Why do the 10 inactive rows have a mean temperature_celsius of -35.9?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Readings120
R3G9KJ8222.7active
VJ3H9X2L74.8active
KY8M5N2P77.3active
A software demo
Believable readings with sensor_id, facility_id and facility_name to fill a screen in front of a buyer.

This dataset120 rows14 columns

Yours1,000 rows14 columns

blueprint · iot-crop-storage-temperature-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 14 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 must include a timestamp and unique sensor ID.
Temperature readings recorded hourly and flagged if outside safe range.
Facility ID required to segment multi-site operations.
Include anomaly indicator for sudden temperature changes.
Sensor status (active/inactive) tracked for operational reliability.

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: iot-crop-storage-temperature-log

What should your data show?

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Sample rows

What the 120 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?