Best Agricultural Datasets, Databases & APIs

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

32 Results
Start icon4.8(1)

Agricultural Data - Reach Decision Makers From Agricultural services Sector like Crop Production - Global Coverage - 100M+ Business Records.

by Blue Mail Media
Our Agricultural Data are opt-in, pre-verified and regularly updated. ... Our Agricultural Data Contains Following Data Fields: Contact Name Job Titles Company Name Company Website
Available for 183 countries
100 Million Verified Records
3 years of historical data
95% Deliverability Rate
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
5% Datarade discount
Free sample available

Corn Agriculture (Raw & Annotated) data

by Automaton AI
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
Start icon4.9(6)

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

by CustomWeather
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

CropProphet Daily Weather Data: Weather & Agricultural Data for USA (county-level)

by CropProphet
US County-level weather data for every day since 1981 US County-level weather data for every day since ... The data set includes all USDA and weather data necessary to build your own crop yield forecast model
Available for 1 countries
38 years of historical data
Available Pricing:
Yearly License

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

by Automaton AI
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

CropProphet Enterprise: Agricultural Yield & Production Data for USA, Brazil & Argentina

by CropProphet
Web-based SaaS interface to the CropProphet yield/production forecasts and weather analytics.
Available for 3 countries
Available Pricing:
Yearly License

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

Meteomatics global soil moisture index

by Meteomatics
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
Start icon5.0(1)

Ambee: Soil Data API - Covers North America, South America, Europe, Africa, Oceania

by Ambee
soil data. ... The data models are built to prioritize data validation and provide accurate data with actionable insights
Available for 198 countries
Pricing available upon request
Free sample available
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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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CropProphet
Based in USA
CropProphet
Weather driven, machine learning based crop yield/production forecast system
Accuracy
Lead Time
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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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Blue Mail Media
Based in USA
Blue Mail Media
Blue Mail Media's customized data marketing solutions will help businesses to thrive good results and achieve better ROI of marketing campaigns.
10 Yrs
Experience
4K
Clients Served
100M+
Business Records
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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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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...

The Ultimate Guide to Agricultural Data 2022

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 Agricultural Data - Reach Decision Makers From Agricultural services Sector like Crop Production - Global Coverage - 100M+ Business Records. by Blue Mail Media, Corn Agriculture (Raw & Annotated) data by Automaton AI, and CustomWeather 6-Month Agricultural Outlooks - Global - with Comprehensive Web Portal by CustomWeather.

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.