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- What is Crop Monitoring?
- Crop Monitoring Capabilities for Developers
- White Label Solution
- Custom Solutions
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Satellite imagery is used in many areas of human activity. With their help, we get information about climate change and monitor the environment and natural disasters, but that’s not all. Technology is advancing, image quality constantly improves, and cost decreases. Today we can even get satellite imagery in cloudy weather. Analysts predict significant further growth in this sector in the coming years.
According to the analysis from Allied Market Research, satellite imagery is of great importance to fulfilling various commercial purposes and continues to gain momentum. Also, the state administration has entered the market, which uses solutions based on satellite technologies, acquiring them from private companies.
EOS Data Analytics is a global satellite analytics provider with years of experience and deep technical expertise. The company specializes in creating software products and developing custom solutions for over 20 different industries, in particular agriculture and forestry. EOSDA also offers ready-to-use solutions for IT companies. The developers can access raw, processed, and analysis-ready satellite data via API integration, get full Crop Monitoring functionality via White Label or request customized enterprise solutions tailored to specific agricultural needs. With EOSDA solutions, you can grow your business and meet the changing demands of the farming market.
Products and solutions developed by EOS Data Analytics enable the analysis of large data volumes extracted from satellite images. Thanks to APIs, White Label options, and custom solutions, IT companies can add value to their products while saving development time and costs.
What is Crop Monitoring?
Crop Monitoring is a precision farming software created by EOS Data Analytics. It utilizes advanced satellite imagery analytics to enable remote and reliable fields monitoring. Crop Monitoring is an all-in-one solution that combines several types of information in one place, including weather and soil moisture data.
Crop Monitoring Capabilities for Developers
API access to satellite data
Having access to the API, developers will be able to receive data from various satellites that are available on EOSDA platforms. Detailed API documentation will enable fast and easy integration of the lacking features to the already existing product to increase its functionality and effectiveness. Below are the types of data EOSDA API offers.
Field imagery allows for getting a satellite image of a field with various indexes applied, including custom ones. The indices can be created independently, depending on the availability of the necessary bands.
Scene Search enables field data analytics by “tying” the field’s location to the available satellite image.
Historical field trends make it possible to obtain the necessary analytics of the field and its historical data without images. It is essential so that users can see statistics and indices.
Weather API provides users with historical weather data since 2008 and an accurate 14-day forecast.
Soil Moisture provides soil moisture data since the year 2015 without imagery.
Crop classification enables crop type identification with the help of advanced AI algorithms for crop map creation. This feature is currently available only in Ukraine.
Point value provides current and historical vegetation indices analytics for a specific area that can be from 10 to 500 meters depending on the data source.
Elevation provides data on height above the sea level of a specific area, which can be from 3×3 meters to 2500×2500 meters.
Slope Map allows users to explore the terrain by offering data on elevation differences in the area.
Colorization API enables the customization of colors for the visualization of available indices values.
White Label Solution
White label is an opportunity for IT companies to use the Crop Monitoring platform on their own domain, under their logo and brand colors, along with other customizations. Advanced White label solutions also offer a field scouting mobile app and a separate admin panel for partners management. The letter is especially useful if the company aims to be a reseller. Fundamentally, White label allows IT companies to save time and money on development or integration by providing ready-to-use full-fledged software.
EOSDA can create unique solutions for clients upon request. Thanks to the team of RnD & Data scientists and many years of experience with advanced satellite data analytics, they offer special custom solutions, including field boundaries detection, crop classification maps, yield prediction, soil type classification, soil moisture, and harvest dynamics research. All they need for this is the task and input data.
In farming, how does technology play a role?
The most commonly used technologies on farms include harvest automation, autonomous tractors, seeding and weeding, and drones. Automation technology solves major problems like a growing global population, labor shortages in the agriculture industry, and changing consumer preferences.
What are the benefits of satellite imagery for agriculture?
As farmers strive to maintain more sustainable agricultural practices, satellite imagery can also help manage the natural environment within and around farms. Fertiliser applications can be better targeted with yield maps, reducing the risk of contamination.
As well as improving transparency of agricultural activity, satellite data can help assess crop conditions and environmental risks.
How do satellites provide information to farmers?
Satellite remote sensing provides key information on soil, snow cover, drought, and crop development. Satellite rainfall analysis, for example, helps farmers determine when and how much irrigation is needed for their crops.
Do satellite images of crops serve as a monitoring tool?
Monitoring crops and fields remotely with satellite imagery is a common practice. To see if there are any changes or differences in various fields or crops, farmers can use imagery to get an aerial view of them.
What are the uses of maps in agriculture?
With the use of medium and high-resolution satellites, yield and soil index maps can be produced using green vegetation indices, such as the Normalized Difference Vegetation Index (NDVI). Also, in order to enhance crop production, farmers and growers can use this data to monitor and manage their fields.
In agriculture, what are satellite photography and sensors?
In this case, satellite images are used to characterize soil field conditions for crops using remote sensing techniques. It is a powerful decision-making tool when combined with GIS. Using it helps predict drought conditions and crop yields.
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