Agricultural Data: Best Agricultural Datasets & Databases

What is Agricultural Data?

Agricultural data is information related to farming, including information on growing crops, rearing animals, managing land, and monitoring weather patterns. This information can help both investors and agricultural companies in their decision making.Learn more

Recommended Agricultural Data Products

27 Results
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CustomWeather 6-Month Agricultural Outlooks - Global - with Comprehensive Web Portal

CustomWeather is adding in free access to its comprehensive Agricultural Web Portal with data customized ... Location-specific historical data can be added for an additional charge.
Available for 249 countries

Corn Agriculture (Raw & Annotated) data

Automaton AI has image data used for corn agricuLture disease detection data using AI / ML / DL. ... Below is the diseases data Automaton AI has: Healthy data Anthracnose_Leaf_Blight Common Rust
Available for 1 countries
25K Images
100% Image data
Starts at
$50,000 / purchase
Free sample available

HSAT Agricultural Data: Sugarcane - Calculating Area, Health and Harvest Predictions in 46 Countries

by HSAT
funding we have had from the European Space Agency, as well as providing services to global trading and agricultural ... This possible through a combination of multiple high-quality data and advanced analytics.
Available for 46 countries
4 years of historical data
Pricing available upon request
Free sample available

Automaton AI Agriculture raw data

This dataset consists of agricultural data of crops where different images and videos of various types ... Data of agriculture crops for the computer vision use cases along with the diseases on the crops.
Available for 1 countries
1K Images
Pricing available upon request
10% Datarade discount

Global Daily Surface Soil Moisture

Data is stored in GeoTiff format but can be intersected with point based data to give soil moisture values ... Surface Soil Moisture Units is in cm3/cm3 Daily data, global coverage @ 9km spatial resolution, history
Available for 249 countries
7 years of historical data
Pricing available upon request
Free sample available

HSAT Agricultural Data: Sugar Mapping, Health and Harvest Predictions (covers UK, France, China, Brazil, Indonesia)

by HSAT
funding we have had from the European Space Agency, as well as providing services to global trading and agricultural ... We can now process over 2,000 TB of data a day and routinely conduct trillions of calculations.
Available for 10 countries
4 years of historical data
Pricing available upon request
Free sample available

Global Daily Surface Temperature

Data is stored in GeoTiff format but can be intersected with point based data to give soil moisture values ... Estimated daily surface soil temperature measured in Degrees Celsius (C) or Degrees Fahrenheit Daily data
Available for 249 countries
7 years of historical data
Pricing available upon request
Free sample available

HSAT Agricultural Data: Sugarbeet Across Europe - Health and Harvest Predictions and identification of Virus Yellow

by HSAT
funding we have had from the European Space Agency, as well as providing services to global trading and agricultural ... This possible through a combination of multiple high-quality data and advanced analytics.
Available for 53 countries
4 years of historical data
Pricing available upon request
Free sample available

Meteomatics global soil moisture index

a number of benefits, including a high spatial resolution (10km), the frequency of data updates, with ... Meteomatics calculate our soil moisture index by using data from ECMWF’s atmospheric model, which brings
Available for 227 countries
41 years of historical data
Pricing available upon request
Free sample available

Global Daily Sub-Surface (20cm) Temperature

Data is stored in GeoTiff format but can be intersected with point based data to give soil moisture values ... daily subsurface (20cm/8”) soil temperature measured in Degrees Celsius (C) or Degrees Fahrenheit Daily data
Available for 249 countries
7 years of historical data
Pricing available upon request
Free sample available

More Agricultural Data Products

Discover related agricultural data products.
249 countries covered
7 years of historical data
Estimated daily surface soil temperature measured in Degrees Celsius (C) or Degrees Fahrenheit
1K Images
India covered
This dataset consists of agricultural data of crops where different images and videos of various types of diseases are captured.
249 countries covered
7 years of historical data
Global 30 Day Total Precipitation observations measured in Millimeters or Inches.
249 countries covered
7 years of historical data
Global 3 Day Total Precipitation observations measured in Millimeters or Inches.
249 countries covered
7 years of historical data
Global 15 Day Total Precipitation observations measured in Millimeters or Inches.
249 countries covered
CustomWeather has significantly advanced the accuracy of long-range, agricultural weather forecasting by incorporating an ensemble of global forecast models ...
288 updates / day
249 countries covered
The meteoblue Weather API provides access to the world's largest weather database, allowing for quick and easy retrieval of weather and environmental data in...
25K Images
100% Image data
India covered
This dataset contains a corn disease (raw & annotated) image dataset. The dataset we have is 20000 - 25000 images.
6 countries covered
Rapid collection of ground truth data (fields, crops, roads, shops) from around the world. This includes labelling the objects
249 countries covered
3 years of historical data
Orbit is a satellite backed smartphone application, allowing users to monitor their crops’ progress and to execute efficient field inspections.
249 countries covered
7 years of historical data
Global 3 Day Total Precipitation observations measured in Millimeters or Inches.
249 countries covered
7 years of historical data
Global 30 Day Total Precipitation observations measured in Millimeters or Inches.
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HSAT
Based in Norway
HSAT
We use data to help companies understand risk and gain a competitive advantage. From monitoring crops to managing logistics. We work with global scale data...
Scale
Global Scale
Accuracy
Build for Traders
Speed
Rapid Results
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Automaton AI
Based in India
Automaton AI
We are a full-stack AI company with a mission to democratize Data. Automaton AI is an AI industry expert who is Transforming how businesses see the world wi...
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CustomWeather
Based in USA
CustomWeather
We provide industry-leading weather solutions to a wide range of industries that value quality, customer service, and data accuracy. As a leader in technolog...
85
Languages
Over 80K
Locations
20 Years
of Industry Leadership
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Marcus Weather
Based in USA
Marcus Weather
Global Weather and Satellite data streams for the offset of weather based risk in the global commodities industry
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Meteomatics
Based in Switzerland
Meteomatics
Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API endpoint to acce...
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meteoblue
Based in Switzerland
meteoblue
meteoblue AG is a Swiss company producing and managing high accuracy weather and environmental data covering the entire Earth. meteoblue forecasts use observ...
>100
weather variables
>35
weather models
>500
weather maps

The Ultimate Guide to Agricultural Data 2023

Learn about agricultural data analytics, sources, and collection.

What is Agricultural Data?

Agricultural data is a subsection of Industry data. It can be used to understand crop production and to cater to the growing number of people in the world. Due to the increase of urbanisation worldwide, agricultural data is needed to maximize the production potential of farmland through understanding weather patterns or managing areas of land.

How is Agricultural Data collected?

Agricultural data can be collected in many different ways. Weather data can be collected from satellites and sensors while land and crop data can be harvested by agricultural vehicles and drones. Laboratory analysis is also used for the collection of agricultural data, such as soil information or nutrient availability.

What are the typical attributes of Agricultural Data?

Lots of different information makes up an agricultural dataset.
Weather data - By understanding weather conditions and the forecast, you can maxmise crop planting or animal rearing to ensure the most fruitful produce. Information on weather features, such as air temperature or humidty, is an equally important part of this dataset.
Crop data - Data on crop yield is key for making the most of what the land can provide without over-using natural resources. This data also provides an insight into the condition of the land, such as the availability of nutrients or the amount of fertiliser used and compare that to yield level. Actual production can also be compared to forecasted yield with some datasets.
Machinery data - Following machinery patterns helping maximise effectiveness of large vehicles and gives an insight into how often different agricultural operations were conducted.

What is Agricultural Data used for?

Agricultural data is mainly used to maximize land yield to ensure that you are getting the best from your land. Weather forecasting data can be used to advise on planting, crop care or harvesting schedules. Actual yield data can be compared to forecasted yield data to highlight areas where production could be increased to give you the most sucess. It also allows you to track the world’s consumption as you can see areas where there has been more or less demand by consumers.

How can a user assess the quality of Agricultural Data?

For agricultural data to be the best it needs to be constantly and consistently updated due to the changing nature of the subjects it monitors, such as the weather. The best datasets will provide the most up to date information but will also contain historical information too so that you can analyze annual information and changes in trends. Before buying any agricultural data, make sure to check the data provider’s reviews and ask for a sample before you buy to ensure that their data meets your needs.

Where can I buy Agricultural Data?

Data providers and vendors listed on Datarade sell Agricultural Data products and samples. Popular Agricultural Data products and datasets available on our platform are CustomWeather 6-Month Agricultural Outlooks - Global - with Comprehensive Web Portal by CustomWeather, Corn Agriculture (Raw & Annotated) data by Automaton AI, and HSAT Agricultural Data: Sugarcane - Calculating Area, Health and Harvest Predictions in 46 Countries by HSAT.

How can I get Agricultural Data?

You can get Agricultural Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Agricultural Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Agricultural Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Agricultural Data?

Agricultural Data is similar to Telecom Data, AI & ML Training Data, Automotive Data, Research Data, and Cyber Risk Data. These data categories are commonly used for Agriculture Management and Crop Monitoring.

What are the most common use cases for Agricultural Data?

The top use cases for Agricultural Data are Agriculture Management and Crop Monitoring.