Agriculture datasets

Crop yields, weather patterns, farm management

  • 89 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 89 cover1 square = 1 dataset
  • Traceability & supply23
  • Crops, pests & livestock22
  • Water & irrigation20
  • Sensors & equipment15
  • Carbon & biodiversity9
Grouped by dataset title and tags.

89 datasets · page 1 of 4

Showing all 24 on this page

Traceability & supply

Agri-Product IoT Traceability Logs

Event-level traceability logs for agricultural products

This dataset provides comprehensive, event-level traceability logs for agricultural products, integrating IoT sensor readings, supply chain events, geolocations, and compliance data. It enables detailed analysis of product journeys, supports transparency and sustainability initiatives, and facilitates regulatory compliance and operational optimization across the agri-food supply chain.

20 cols

  • sensor_type
  • sensor_reading_value
  • sensor_reading_unit
  • event_type
  • +16
Open in factory
sensor_type
temperature
sensor_reading_value
7.8
sensor_reading_unit
Celsius

Water & irrigation

Smart Irrigation Sensor Metrics

Sensor metrics from smart irrigation systems deployed across agricultural fields

This dataset provides comprehensive, time-stamped sensor metrics from smart irrigation systems deployed across agricultural fields. It includes environmental readings, operational statuses, anomaly flags, and contextual field/crop information, enabling agri-tech teams and sustainability officers to monitor irrigation efficiency, detect issues, and benchmark performance for improved crop yield and water conservation.

17 cols

  • irrigation_status
  • field_name
  • location_latitude
  • location_longitude
  • +13
Open in factory
irrigation_status
on
field_name
North Pasture
location_latitude
38.1102

Crops, pests & livestock

Satellite Livestock Health Log

Livestock herd health, integrating satellite imagery, sensor data

This dataset provides granular, time-stamped logs of livestock herd health, integrating satellite imagery, sensor data, and environmental conditions to enable early detection of disease, stress, and operational anomalies. It empowers agriculture professionals to optimize animal wellness, respond proactively to climate threats, and improve farm resilience through actionable insights.

20 cols

  • herd_name
  • farm_name
  • location_latitude
  • location_longitude
  • +16
Open in factory
herd_name
Sunrise Cattle
farm_name
Green Acres Ranch
location_latitude
36.7783

Water & irrigation

Farm Water Usage Impact Scores

Crop types, irrigation methods, and benchmarking percentiles

This dataset provides detailed water usage, efficiency, and sustainability scores for farms, including crop types, irrigation methods, and benchmarking percentiles. It enables AgriTech companies and sustainability professionals to compare farm performance, identify improvement areas, and guide environmental initiatives for responsible water management.

18 cols

  • farm_name
  • farm_size_hectares
  • annual_water_usage_m3
  • water_source_type
  • +14
Open in factory
farm_name
Green Valley Farms
farm_size_hectares
120.6
annual_water_usage_m3
850000

Traceability & supply

Seed Traceability Supply Chain Log

Step-by-step traceability for agricultural seed batches as they move through the supply

This dataset provides granular, step-by-step traceability for agricultural seed batches as they move through the supply chain, capturing origin, destination, quality, compliance, and risk data. It enables agtech startups, vertical farmers, and ESG analysts to ensure regulatory compliance, optimize operations, and analyze supply chain resilience for process improvement and sustainability reporting.

41 cols

  • seed_type
  • origin_company_name
  • destination_company_name
  • quantity_kg
  • +37
Open in factory
seed_type
hybrid corn
origin_company_name
Sunrise Agro Farms
destination_company_name
Midwest Seed Dist

Crops, pests & livestock

Predictive Crop Yield Error Logs

Anomaly logs from AI-powered crop yield prediction systems

This dataset provides detailed anomaly logs from AI-powered crop yield prediction systems, integrating real-time sensor data, weather conditions, and soil metrics. It enables agri-businesses and researchers to identify error patterns, optimize predictive models, and reduce operational risks through actionable insights and traceable resolution workflows.

19 cols

  • crop_type
  • error_type
  • error_severity
  • error_message
  • +15
Open in factory
crop_type
corn
error_type
sensor-failure
error_severity
critical

Water & irrigation

Agri-Tech Water Efficiency Tracker

Field-level tracking of water usage, irrigation practices

This dataset provides detailed, field-level tracking of water usage, irrigation practices, and crop yields for small to mid-sized farms. It enables robust analysis of water efficiency, supports resource optimization recommendations, and helps agri-tech startups and sustainability managers drive data-driven improvements in agricultural sustainability.

22 cols

  • total_water_used_m3
  • yield_per_water_kg_per_m3
  • water_efficiency_score
  • farm_name
  • +18
Open in factory
total_water_used_m3
3200
yield_per_water_kg_per_m3
2.56
water_efficiency_score
0.72

Water & irrigation

Smart Irrigation Device Uptime Metrics

Uptime, downtime, water dispensed, maintenance history

This dataset provides detailed operational and performance metrics for smart irrigation devices deployed across distributed farms, including uptime, downtime, water dispensed, maintenance history, and device health indicators. It enables agriculture managers and IoT teams to optimize device reliability, schedule proactive maintenance, and improve water usage efficiency at scale. The dataset supports geospatial, temporal, and farm-level analysis for robust agricultural operations management.

17 cols

  • device_location_latitude
  • device_location_longitude
  • device_model
  • uptime_seconds
  • +13
Open in factory
device_location_latitude
47.6132
device_location_longitude
-122.3356
device_model
AquaEdge X3

Crops, pests & livestock

Farm Sensor Pest Detection Logs

Sensor metadata, pest types, intervention actions, and outcomes

This dataset provides granular logs of pest detection events from IoT sensors deployed on small and medium farms, including sensor metadata, pest types, intervention actions, and outcomes. It enables comprehensive analysis of pest management practices, sensor effectiveness, and response efficiency, supporting data-driven decision-making for sustainable agriculture.

17 cols

  • sensor_type
  • sensor_location_latitude
  • sensor_location_longitude
  • pest_type
  • +13
Open in factory
sensor_type
camera
sensor_location_latitude
37.2412
sensor_location_longitude
-120.8323

Water & irrigation

Greenhouse IoT Water Optimization Logs

Water usage, environmental conditions

This dataset provides detailed logs of water usage, environmental conditions, and irrigation events from IoT sensors deployed in greenhouses. It enables AgTech professionals and sustainability analysts to monitor, optimize, and benchmark water consumption while maintaining crop health, supporting precision irrigation strategies and resource conservation.

14 cols

  • water_usage_liters
  • crop_type
  • soil_moisture_percent
  • ambient_temperature_celsius
  • +10
Open in factory
water_usage_liters
35.2
crop_type
Tomato
soil_moisture_percent
67.8

Traceability & supply

Agricultural Product Traceability Logs

Event-level traceability logs for agricultural product batches

This dataset provides detailed, event-level traceability logs for agricultural product batches, capturing their journey from origin farms through various supply chain stages. It includes information on product type, ownership, locations, certifications, compliance status, and fraud detection, supporting transparency, regulatory compliance, and ESG initiatives. Ideal for organizations seeking to enhance supply chain integrity, detect fraud, and demonstrate sustainable sourcing.

32 cols

  • product_name
  • product_type
  • origin_farm_name
  • quantity
  • +28
Open in factory
product_name
Wheat
product_type
Grain
origin_farm_name
Sunrise Acres

Carbon & biodiversity

Regenerative Farming Carbon Validation

Framework for tracking, validating

This dataset provides a comprehensive framework for tracking, validating, and benchmarking carbon offset credits generated by regenerative farming practices at the field level. It captures farm and field details, carbon project outcomes, verification steps, and key agronomic metrics, supporting compliance, sustainability reporting, and carbon trading initiatives. Ideal for ag-tech startups, sustainability teams, and carbon market participants seeking transparent, auditable data.

32 cols

  • regenerative_practices
  • carbon_credits_generated
  • carbon_credits_verified
  • soil_organic_carbon_t_per_ha
  • +28
Open in factory
regenerative_practices
cover cropping,no-till
carbon_credits_generated
42.5
carbon_credits_verified
40.1

Carbon & biodiversity

Agricultural Carbon Intensity Logs

Stage-level carbon intensity measurements for agricultural products across global supply

This dataset provides detailed, stage-level carbon intensity measurements for agricultural products across global supply chains. It includes product identifiers, supply chain stages, location details, emission values, ESG certification status, and reporting entities, enabling targeted sustainability interventions and transparent ESG reporting for agriculture sector stakeholders.

16 cols

  • carbon_intensity_value
  • carbon_intensity_unit
  • product_name
  • supply_chain_stage
  • +12
Open in factory
carbon_intensity_value
35.7
carbon_intensity_unit
kg CO2e/ton
product_name
wheat

Traceability & supply

Farm Input Traceability Records

Traceability records for agricultural inputs, capturing their origins

This dataset provides detailed traceability records for agricultural inputs, capturing their origins, suppliers, compliance status, and farm-level application. It enables agtech startups and supply chain managers to automate ESG and regulatory reporting, assess supplier risks, and support sustainability claims with granular, auditable data.

26 cols

  • input_type
  • input_name
  • farm_name
  • batch_number
  • +22
Open in factory
input_type
seed
input_name
Golden Wheat 305
farm_name
Sunrise Acres

Traceability & supply

Farm Produce Inventory Tracking

Harvest dates, storage locations, quantities, expiration dates

This dataset provides detailed, real-time tracking of local farm produce inventory, including harvest dates, storage locations, quantities, expiration dates, and buyer information. It enables small farms and co-ops to optimize storage, reduce waste, and efficiently manage supply to buyers, supporting data-driven decisions in dynamic agricultural environments.

17 cols

  • farm_name
  • produce_name
  • produce_category
  • variety
  • +13
Open in factory
farm_name
Sunny Acres Organics
produce_name
Tomato
produce_category
vegetable

Water & irrigation

Smart Irrigation Sensor Efficiency Log

Logs from IoT-enabled irrigation sensors, capturing water usage

This dataset records detailed logs from IoT-enabled irrigation sensors, capturing water usage, soil moisture changes, environmental conditions, and energy consumption for precision agriculture. Designed for agri-tech startups and farm managers, it enables optimization of irrigation schedules, reduction of water waste, and robust ESG sustainability reporting. The comprehensive schema supports advanced analytics for resource efficiency and environmental compliance.

19 cols

  • sensor_status
  • irrigation_method
  • water_volume_liters
  • duration_minutes
  • +15
Open in factory
sensor_status
active
irrigation_method
drip
water_volume_liters
950.5

Sensors & equipment

IoT Sensor Network Security Logs

Security incident logs from an IoT-enabled agriculture sensor network

This dataset contains detailed security incident logs from an IoT-enabled agriculture sensor network, capturing intrusion attempts, device breaches, anomaly detections, and automated security responses. Each record includes device identifiers, event types, severity levels, geolocation, network details, and compliance indicators, enabling comprehensive monitoring and analysis of field-deployed IoT security. The dataset is ideal for operational oversight, incident response optimization, and regulatory compliance in smart agriculture environments.

15 cols

  • device_type
  • device_location_latitude
  • device_location_longitude
  • event_type
  • +11
Open in factory
device_type
soil_sensor
device_location_latitude
39.9872
device_location_longitude
-104.6732

Sensors & equipment

Remote Farm IoT Device Health

Real-time health and operational metrics for IoT devices deployed across remote

This dataset provides real-time health and operational metrics for IoT devices deployed across remote agricultural fields. It enables AgTech startups and farm managers to monitor device status, analyze performance trends, and optimize maintenance schedules, ensuring maximum farm automation uptime and rapid response to device failures.

18 cols

  • device_type
  • field_name
  • location_latitude
  • location_longitude
  • +14
Open in factory
device_type
soil_sensor
field_name
Orchard Valley
location_latitude
37.3291

Water & irrigation

Smart Irrigation System Event Logs

Event logs from smart irrigation systems deployed in SME agricultural settings

This dataset provides granular event logs from smart irrigation systems deployed in SME agricultural settings, capturing operational activity, faults, water usage, and sustainability interventions. It enables agri-tech startups and farm managers to monitor device performance, optimize water consumption, and track climate resilience actions, supporting data-driven precision agriculture and sustainability reporting.

17 cols

  • event_type
  • event_subtype
  • status
  • water_usage_liters
  • +13
Open in factory
event_type
operational
event_subtype
start
status
active

Water & irrigation

Agricultural Water Usage Insights

Crop type, irrigation method, water source, and yield data

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.

23 cols

  • water_source
  • water_volume_m3
  • water_use_efficiency_m3_per_tonne
  • farm_name
  • +19
Open in factory
water_source
surface water
water_volume_m3
13500.8
water_use_efficiency_m3_per_tonne
17.94

Traceability & supplyTop 10 most opened

Agri Cold Storage IoT Metrics

Timestamped IoT sensor logs from agricultural cold storage facilities

This dataset provides detailed, timestamped IoT sensor logs from agricultural cold storage facilities, capturing temperature, humidity, equipment performance, and operational alerts. It enables supply chain managers to monitor storage conditions for perishable goods, optimize energy usage, and ensure compliance with food safety and sustainability standards. The data supports analytics for reducing spoilage, improving operational efficiency, and maintaining product quality.

20 cols

  • facility_name
  • sensor_type
  • temperature_celsius
  • humidity_percent
  • +16
Open in factory
facility_name
Green Valley Storage
sensor_type
temperature
temperature_celsius
-17.3

Water & irrigation

Agricultural IoT Smart Irrigation Logs

Event logs from IoT-enabled smart irrigation systems

This dataset contains granular event logs from IoT-enabled smart irrigation systems, recording sensor measurements, automated watering actions, environmental conditions, and system alerts across multiple farms and zones. It enables AgTech professionals to analyze water usage efficiency, monitor device health, and implement predictive maintenance for sustainable, data-driven farm management.

22 cols

  • event_type
  • soil_moisture
  • soil_temperature
  • air_temperature
  • +18
Open in factory
event_type
sensor_reading
soil_moisture
45.2
soil_temperature
19.1

Sensors & equipment

Smart Greenhouse Sensor Event Logs

IoT sensor events in smart greenhouses, capturing environmental readings

This dataset provides granular logs of IoT sensor events in smart greenhouses, capturing environmental readings, triggered alerts, device status, and responsive actions across zones and crop types. Designed for AgTech teams and climate planners, it enables precision farming, anomaly detection, and operational optimization for sustainable agriculture.

17 cols

  • sensor_type
  • event_type
  • event_severity
  • sensor_value
  • +13
Open in factory
sensor_type
temperature
event_type
reading
sensor_value
23.6

Carbon & biodiversity

Agricultural Carbon Footprint Tracking

Stage-by-stage tracking of carbon emissions across the agricultural supply chain, from

This dataset provides detailed, stage-by-stage tracking of carbon emissions across the agricultural supply chain, from farm production to distribution. It includes granular data on emission sources, activities, products, and organizations, supporting sustainability benchmarking, regulatory reporting, and operational improvement. Designed for supply chain managers, researchers, and sustainability professionals seeking actionable insights into agricultural carbon footprints.

24 cols

  • carbon_emissions_kg_co2e
  • supply_chain_stage
  • organization_name
  • product_type
  • +20
Open in factory
carbon_emissions_kg_co2e
1234.7
supply_chain_stage
farm_production
organization_name
Green Acres Farm

What’s inside. Column by column.

Columns and codes found in the sample rows of all 89 agriculture datasets.

Most common columnsDatasets, of 89
  1. farm_id37
  2. crop_type35
  3. field_id28
  4. sensor_id27
  5. farm_name26
  6. log_id19
  7. harvest_date14
  8. operator_id14
  9. farm_city12
Standard codes in the sample rowsDatasets, of 89
  1. ISO 3166 countries35

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • Irrigated +40%
  • Real soil types
  • 3% missing rainfall
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Wheat yield (t/ha) by irrigation
06127Rain-fed10Irrigated1
Sample rows for: Field records for 400 farms, where irrigated fields yield 40% more wheat, with real soil types and 3% of rainfall values missing.
irrigatedsoil_typerainfall_mmyield_t_ha
yesClay loam6129.8
noSandy loam5806.9
yesSilt—10.2
noChalk6407.1

A pattern you asked for Everything else

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