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.

Showing all 24 on this page

Crops, pests & livestock

Agricultural Drone Crop Health Survey

Field identification, location, crop type, sensor-derived metrics (NDVI

This dataset contains detailed results from drone-based crop health surveys, including field identification, location, crop type, sensor-derived metrics (NDVI, health scores), and actionable recommendations. It enables agri-businesses and farmers to monitor field conditions, benchmark crop health, and optimize interventions for climate adaptation and operational efficiency.

20 cols

crop_type
health_score
survey_date
field_name
+16

Open in factory

crop_type: wheat
health_score: 82.5
field_name: North Meadow

Sensors & equipment

Farm IoT Device Reliability Metrics

Uptime, failure types, maintenance history, and deployment context

This dataset provides granular reliability metrics for IoT devices deployed in precision agriculture, including uptime, failure types, maintenance history, and deployment context. It empowers AgriTech startups and farm managers to optimize device lifecycles, reduce downtime, and anticipate maintenance needs, supporting scalable and resilient smart farming operations.

17 cols

device_type
device_model
deployment_location
last_uptime_check
+13

Open in factory

device_type: weather_station
device_model: ClimaView WX-Edge
deployment_location: North Field

Water & irrigation

Microfarm Water Efficiency Metrics

Event-level metrics on water usage, irrigation methods, crop types

This dataset provides granular, event-level metrics on water usage, irrigation methods, crop types, and yield outcomes for microfarms and small farm operators. It enables benchmarking of water efficiency, supports compliance with sustainability standards, and empowers precision agriculture initiatives for improved resource management and crop productivity.

21 cols

water_volume_liters
farm_name
irrigation_datetime
irrigation_method
+17

Open in factory

water_volume_liters: 850.5
farm_name: Green Valley
irrigation_method: drip

Traceability & supply

Organic Farm Input Traceability

Enables full traceability of agricultural inputs for organic farms

This dataset enables full traceability of agricultural inputs for organic farms, capturing origin, certification, delivery reliability, and sustainability metrics. It supports compliance audits, supply chain transparency, and optimization for farm managers and agtech startups seeking to ensure organic integrity and sustainable sourcing.

31 cols

input_type
input_name
farm_name
manufacturer_name
+27

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input_type: fertilizer
input_name: EcoGrow Green NPK
farm_name: Sunny Acres Organics

Water & irrigation

Smart Irrigation Sensor Alert Logs

Event types, severity, sensor status, location, and resolution details

This dataset contains detailed logs of alert events generated by IoT-enabled irrigation sensors across multiple agricultural fields, including event types, severity, sensor status, location, and resolution details. It enables agri-tech teams to monitor system health, optimize water usage, and respond rapidly to faults and anomalies, supporting climate-resilient and efficient water management strategies.

17 cols

alert_type
alert_severity
alert_message
sensor_location_latitude
+13

Open in factory

alert_type: fault
alert_severity: critical
sensor_location_latitude: 34.2123

Carbon & biodiversity

Farm IoT Biodiversity Monitoring

Sensor readings, species detection, and sustainability goal tracking

This dataset provides comprehensive, farm-level IoT monitoring data for biodiversity and water conservation metrics, including sensor readings, species detection, and sustainability goal tracking. It enables AgTech professionals to analyze ecosystem impacts, optimize resource usage, and assess progress towards conservation targets using structured, location-aware sensor data. Ideal for sustainability analytics, operational benchmarking, and precision agriculture applications.

24 cols

farm_name
sensor_type
sensor_location_latitude
sensor_location_longitude
+20

Open in factory

farm_name: Willow Creek Valley Farm
sensor_type: biodiversity
sensor_location_latitude: 43.0499

Traceability & supply

Farm-to-Factory Traceability Logs

Event-level traceability logs for agricultural products as they move from farm to

This dataset provides detailed, event-level traceability logs for agricultural products as they move from farm to manufacturing facility. Each record includes product, batch, checkpoint, transport, and inspection data, enabling supply chain leaders to audit movement, ensure compliance, and optimize operations. Ideal for transparency, recall management, and regulatory reporting in agriculture and manufacturing.

32 cols

farm_name
factory_name
product_name
batch_number
+28

Open in factory

farm_name: Golden Grain Farms
factory_name: Midwest Flour Co
product_name: wheat

Traceability & supply

Agricultural Input Source Traceability

Traceability for agricultural inputs, detailing their origin, movement

This dataset provides comprehensive traceability for agricultural inputs, detailing their origin, movement, current status, and compliance attributes throughout the supply chain. It enables operations managers and sustainability teams to audit provenance, monitor risk, and support ESG and regulatory reporting, making it ideal for AgTech startups and supply chain analysts.

30 cols

input_type
input_name
input_brand
input_lot_number
+26

Open in factory

input_type: seed
input_name: Golden Wheat 2024
input_brand: AgriGen

Crops, pests & livestock

IoT Soil Health Monitoring Data

High-resolution, time-stamped soil health metrics collected from IoT sensors deployed

This dataset provides high-resolution, time-stamped soil health metrics collected from IoT sensors deployed across agricultural plots and farms. It includes essential soil properties, nutrient levels, ambient climate data, and sensor operational status, supporting smart farming automation, climate resilience analysis, and transparent supply chain reporting for sustainable agriculture.

24 cols

soil_moisture
soil_temperature
soil_ph
soil_ec
+20

Open in factory

soil_moisture: 42.3
soil_temperature: 19.8
soil_ph: 6.6

Sensors & equipment

Urban Farm IoT Sensor Metrics

Environmental metrics, sensor health, and compliance flags

This dataset provides granular, real-time IoT sensor readings from urban farms, including environmental metrics, sensor health, and compliance flags. It enables agtech startups and city planners to monitor resource usage, optimize crop yields, and ensure sustainability compliance at scale. The detailed schema supports operational analytics, regulatory reporting, and smart farm management.

18 cols

farm_name
sensor_type
sensor_location
sensor_status
+14

Open in factory

farm_name: EcoUrban Grow
sensor_type: temperature
sensor_location: Greenhouse North

Water & irrigation

Farm Water Conservation Impact Data

Farm-level water usage and conservation impact metrics

This dataset provides detailed, farm-level water usage and conservation impact metrics, enabling agri-tech teams and farm managers to evaluate the effectiveness of smart irrigation and conservation strategies. It supports ESG and regulatory compliance reporting, climate resilience assessments, and optimization of water management practices for sustainable agriculture.

25 cols

farm_name
water_usage_liters
conservation_technique
water_saved_liters
+21

Open in factory

farm_name: Green Valley Ranch
water_usage_liters: 12000.5
conservation_technique: soil moisture sensors

Sensors & equipment

Remote Farm Equipment IoT Logs

Operational status, sensor alerts, scheduled maintenance

This dataset provides granular, time-stamped IoT logs from remote farm equipment, including operational status, sensor alerts, scheduled maintenance, and climate conditions. It is ideal for developing predictive maintenance models, optimizing workforce deployment, and mitigating climate-related risks in agriculture through real-world-style device and event tracking.

15 cols

equipment_type
location_latitude
location_longitude
operational_status
+11

Open in factory

equipment_type: tractor
location_latitude: 39.57283
location_longitude: -104.98214

Carbon & biodiversity

Crop Supply Chain Emissions Tracker

Stage-by-stage greenhouse gas emission records for agricultural crop supply chains

This dataset provides detailed, stage-by-stage greenhouse gas emission records for agricultural crop supply chains, enabling granular analysis by crop, facility, and emission type. It supports identification of emission hotspots, optimization of logistics, and comprehensive sustainability reporting for climate resilience and regulatory compliance.

24 cols

crop_type
supply_chain_stage
emission_type
emission_amount
+20

Open in factory

crop_type: wheat
supply_chain_stage: farming
emission_type: CO2

Traceability & supply

Agri Supply Chain Twin Metrics

Supplier and product details, inventory levels, disruption tracking

This dataset provides real-time, synthetic digital twin metrics for agricultural supply chains, including supplier and product details, inventory levels, disruption tracking, risk and climate impact scores, and logistics status. It is ideal for agri-tech startups and supply chain managers seeking to analyze resilience, optimize operations, and model predictive decisions in the face of disruptions and climate challenges.

21 cols

supplier_name
product_name
inventory_level
inventory_status
+17

Open in factory

supplier_name: Green Valley Growers
product_name: Wheat
inventory_level: 42.8

Crops, pests & livestock

IoT Crop Pest Monitoring Data

Detailed environmental metrics and operational responses

This dataset provides granular, time-stamped sensor readings and pest incident logs from smart agriculture plots, including detailed environmental metrics and operational responses. It is ideal for developing AI-driven pest management solutions, optimizing farm operations, and conducting predictive analytics for crop protection.

16 cols

pest_detected
pest_type
pest_count
incident_severity
+12

Open in factory

pest_detected: false
pest_count: 0
temperature_celsius: 15.4

Water & irrigationTop 10 most opened

IoT Precision Irrigation Sensor Data

Readings from distributed IoT soil sensors, capturing soil moisture

This dataset provides granular, time-stamped readings from distributed IoT soil sensors, capturing soil moisture, temperature, electrical conductivity, irrigation events, and environmental conditions across multiple farms and fields. It enables agritech startups, sustainability officers, and farm managers to optimize irrigation schedules, detect anomalies, and improve crop yield forecasts using advanced analytics and AI models.

16 cols

irrigation_event
irrigation_volume_liters
soil_moisture_percent
soil_temperature_celsius
+12

Open in factory

irrigation_event: false
soil_moisture_percent: 32.7
soil_temperature_celsius: 19.6

Crops, pests & livestock

Agricultural Yield Data By Region

Quantitative harvest data, land area

This dataset provides detailed agricultural yield records by region, crop type, and growing season, including quantitative harvest data, land area, and contextual information such as irrigation and organic certification. It is designed for ESG reporting, risk assessment, and supply chain optimization, enabling granular analysis of crop production trends and sustainability metrics.

16 cols

yield_quantity
yield_unit
crop_type
growing_season
+12

Open in factory

yield_quantity: 185.4
yield_unit: bushels
crop_type: wheat

Sensors & equipment

Agriculture Field Sensor Readings

Soil moisture, air temperature, and pest detection data

This dataset contains detailed, timestamped sensor readings from agricultural fields, including soil moisture, air temperature, and pest detection data. Each record is geotagged and linked to specific fields and sensors, enabling advanced analysis for precision farming, crop management, and yield optimization. The dataset supports operational monitoring, predictive analytics, and research into sustainable agriculture practices.

15 cols

field_name
sensor_type
reading_datetime
location_latitude
+11

Open in factory

field_name: North East Cornfield
sensor_type: moisture
location_latitude: 41.403

Traceability & supply

Synthetic Crop Market Demand Signals

Simulated crop market demand signals

This dataset provides simulated crop market demand signals, capturing detailed information on commodity types, buyer segments, order sizes, price trends, and seasonal patterns across regions. It is designed for agricultural market forecasting, demand analysis, and strategic planning, enabling users to model market behaviors and anticipate supply needs.

14 cols

forecasted_demand
signal_source
commodity_name
commodity_type
+10

Open in factory

forecasted_demand: 5450
signal_source: transaction
commodity_name: Wheat

Water & irrigation

Synthetic Smart Agriculture Irrigation Logs

Synthetic smart agriculture irrigation events, capturing water usage

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.

15 cols

irrigation_method
crop_type
water_volume_liters
soil_moisture_before
+11

Open in factory

irrigation_method: drip
crop_type: wheat
water_volume_liters: 708.3

Crops, pests & livestock

Synthetic Crop Disease Treatment Trials

Crop disease treatment trials with detailed tabular records

This dataset simulates crop disease treatment trials with detailed tabular records and associated images, capturing treatment types, outcome metrics, and control group comparisons. It enables robust analysis of treatment efficacy, supports statistical replication, and facilitates machine learning applications in agricultural research.

15 cols

crop_species
disease_name
treatment_type
treatment_name
+11

Open in factory

crop_species: Wheat
disease_name: Powdery Mildew
treatment_type: chemical

Crops, pests & livestock

Synthetic Plant Disease Diagnosis

Plant disease diagnosis cases, combining image metadata

This dataset provides synthetic plant disease diagnosis cases, combining image metadata and detailed tabular attributes such as plant species, disease type, severity, environmental conditions, and geolocation. Ideal for training machine learning models in smart agriculture, it enables robust analysis and development of crop management tools for disease detection and prevention.

17 cols

plant_species
disease_name
disease_severity
diagnosis_method
+13

Open in factory

plant_species: Solanum lycopersicum
disease_name: healthy
disease_severity: none

Traceability & supply

Synthetic Agribusiness Sales Leads

Contact details, lead source, interest levels, conversion probabilities

This dataset contains detailed synthetic sales leads for agricultural products and services, including contact details, lead source, interest levels, conversion probabilities, and pipeline status. It is designed for CRM prototyping, sales analytics, and agribusiness market segmentation, enabling users to model and optimize sales pipelines and strategies.

19 cols

lead_name
company_name
industry_segment
lead_source
+15

Open in factory

lead_name: Green Valley Farms
company_name: Green Valley Farms
industry_segment: crop farming

Carbon & biodiversity

Precision Farming Climate Trends

Temperature, precipitation, humidity, wind

This dataset provides granular, time-series synthetic climate data tailored for precision agriculture, including temperature, precipitation, humidity, wind, and soil moisture metrics across microclimate regions. It enables researchers and agronomists to model crop yield responses to environmental changes, optimize resource allocation, and simulate future climate scenarios for sustainable farming practices.

17 cols

precipitation_mm
latitude
longitude
temperature_avg_c
+13

Open in factory

precipitation_mm: 5.2
latitude: 39.8
longitude: -98.3

What’s inside. Column by column.

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

Most common columnsDatasets, of 89

farm_id37
crop_type35
field_id28
sensor_id27
farm_name26
log_id19
harvest_date14
operator_id14
farm_city12

Standard codes in the sample rowsDatasets, of 89

ISO 3166 countries35

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Irrigated +40%
Real soil types
3% missing rainfall

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Wheat yield (t/ha) by irrigation

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.
irrigated	soil_type	rainfall_mm	yield_t_ha
yes	Clay loam	612	9.8
no	Sandy loam	580	6.9
yes	Silt	—	10.2
no	Chalk	640	7.1

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