Agricultural Data: Best Agricultural Datasets & Databases
What is Agricultural Data?
Agricultural data refers to information collected and analyzed from various sources within the agricultural sector. It includes data related to crop yields, weather patterns, soil conditions, market prices, and other relevant factors. This data is used to make informed decisions, improve farming practices, optimize resource allocation, and enhance overall agricultural productivity. Agricultural data is used for various purposes such as improving crop productivity, optimizing resource allocation, predicting and managing risks, and making informed decisions in the agricultural sector. In this page, you’ll find the best data sources for agricultural data.
Best Agricultural Data Databases & Datasets
Here is Datarade's curated selection of top Agricultural Data. These trusted databases and datasets offer high-quality, up-to-date information.
CustomWeather | 6-Month Agricultural Data Outlooks | Temperature Data | Rainfall Data|Precipitation Data | Global Weather Data | Weather Forecast Data
Corn Agriculture (Raw & Annotated) data
Agriculture stocks Price data 10yr history
CustomWeather | Oil And Gas Data | Population-Weighted Heating And Cooling Degree Data | Historical And Ongoing | Global Coverage
CropProphet Modeler: Historical Corn, Soybean, Winter Wheat Yield & Production Forecasts for USA
meteoblue weather API - Highest precision weather forecast and history data
FarmersEdge | Machine Telematics Data (Vehicle Location Data) focused on Farming | Fleet Management/ Yield Data/ Machine Health Diagnostics and more
Popular Use Cases
Agricultural Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
Agricultural Data Explained
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 maxmize crop planting or animal rearing to ensure the most fruitful produce. Information on weather features, such as air temperature or humidity, 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 success. 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.
Frequently Asked Questions
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 Data Outlooks | Temperature Data | Rainfall Data|Precipitation Data | Global Weather Data | Weather Forecast Data by CustomWeather, Corn Agriculture (Raw & Annotated) data by Automaton AI, and Agriculture stocks Price data 10yr history by AXOVISION.
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 AI & ML Training Data, Marketing Data, Education Industry Data, Insurance Data, and Food Data. These data categories are commonly used for Crop Monitoring.
What are the most common use cases for Agricultural Data?
The top use cases for Agricultural Data are Crop Monitoring.