Thanks to organizations like NASA, remote sensing and satellite data analysis are now widely available. Although initially developed for military use, the technology’s potential for providing helpful information has been realized and utilized by many different industries. Companies and individual users can use these technologies to gather valuable information. Some companies even have access to satellite technologies through white-label products.
Remote sensing technologies enable the monitoring of inaccessible areas of our planet. Satellites also facilitate observing vast regions, which has numerous advantages for various industries, including agriculture. This technology makes crop classification easier and helps to save lots of time and money.
Satellite sensors, AI technology, and computing have made remote sensing a fast and precise way to classify crop types. However, boots-on-the-ground scouting is still needed for accuracy and efficient differentiation between crop classes. Improved satellite imagery provides more accurate identification of plant species’ spectral signatures.
EOS Data Analytics is an experienced provider of reliable satellite imagery analytics for more than 20 industries all over the world. The company uses AI and other innovative technologies to provide software and individual solutions for agriculture.
Satellite Monitoring for Agribusiness
Many factors can affect the efficiency of agriculture, the productivity of fields, and the feasibility of investments. Landowners, investors, agronomists, and other market participants require information on soil quality, previously grown crop type, past operations that may have harmed the land, terrain, past productivity of the fields, and existing infrastructure.
To effectively manage their daily operations and predict their yields and profitability, farmers require detailed information about the condition of the plants, soil, and any possible issues. Although scouts can assess the health of crops and identify pests, diseases, and weeds, this process is time-consuming and resource-intensive, particularly for larger farms.
Satellite monitoring helps assess agricultural land and track crop issues. EOS Data Analytics provides efficient solutions for obtaining current and historical data.
EOSDA Crop Monitoring is a versatile tool for precision farming. It enables users to improve farm management and monitor plant health throughout the growing season. The platform helps growers to make effective data-based decisions.
Thanks to the access to historical weather data dating back to 1979, it’s possible to find crucial climate patterns impacting the crops. An accurate 14-day weather forecast is also available for growers. This information is essential to plan field operations properly.
Applicable Ag-business Solutions
A team of data scientists and engineers from EOSDA has created reliable methods for estimating crop yields through remote sensing and machine learning models. The company uses satellite data to gather information about everything from individual farms to regions.
EOS Data Analytics knows how missing or incomplete harvest statistics can impact field activities and sales strategies. The team of GIS experts and data scientists has developed a remote harvest monitoring system that tracks the harvest status of individual fields on specific dates across large areas. This technology enables tracking the progress of the harvest on selected dates.
The company also created powerful boundary detection algorithms. The company applies high-resolution satellite imagery to provide a high level of detail. EOSDA can customize models for various regions by gathering client data on-site. The method helps to detect arable land, mapping out the boundaries of the farm, and calculate the cultivated land area. The information gathered provides a more precise crop classification.
Classification of field crops is essential in agriculture, but it can be difficult using traditional methods. EOS Data Analytics has extensive knowledge and experience in precision agriculture, the application of AI-powered algorithms and remote sensing to provide a faster and easier-to-use solution for the crops classification. The company uses SAR data and optical imagery to create a crop-type map for any area. The neural network identifies each crop type, and the accuracy can be up to 90%.
Advantages of the EOSDA Approach to Satellite Analytics
Despite limitations, remote sensing technology for crop classification is constantly evolving. The EOSDA team has years of experience and knowledge of AI algorithms and remote sensing applications to overcome related challenges.
Weather can obstruct Earth observations, resulting in gaps in input data for crop classification. EOS Data Analytics uses SAR data from satellite sensors that can “see” through clouds and even at night to address this.
When it comes to mapping crop types using satellite imagery, many solutions require a lot of time and data processing, especially for larger agricultural areas. EOSDA provides customized solutions that simplify the process. Their pre-trained machine learning models make adjusting to new regions or plant species quickly, resulting in fast and accurate outcomes.
Conclusion
EOSDA is a leading provider of remote sensing-driven solutions that stands out in the industry for its commitment to tailoring its services to meet each customer’s unique needs. The company provides valuable insights that help to enhance decision-making and deliver tangible results. EOSDA empowers diverse industries through remote sensing, focusing on customization, innovation, and customer satisfaction.
