Satellite-driven EOSDA Crop Monitoring: EOSDA Expertise
On December 14, 2023, EOS Data Analytics, a global provider of AI-powered satellite imagery analytics, held a free webinar revealing how it leverages space and machine learning technologies to help revolutionize agricultural practices.
The webinar was focused on its key platform, EOSDA Crop Monitoring, and the ways it becomes instrumental in improving vegetation health and crop yield by constant field monitoring via satellites.
To access the presentation, follow the link.
Current and potential EOS Data Analytics clients and partners, agricultural professionals, GIS specialists, researchers, agribusiness representatives, educational communities, environmental organizations, and government entity representatives attended this online event.
The following speakers had been presenting during the webinar:
- Yevhenii Marchenko, Senior Account Executive at EOSDA
- Oleksandr Kryvoshein, Senior researcher at EOSDA
- Lidiia Lelechenko, Sales Executive at EOSDA
- Maksym Bohomolov, Product Manager, EOSDA Crop Monitoring
The webinar commenced with an introduction of the speakers and their expertise.
Lidia Lilichenko, Senior Account Executive at EOS Data Analytics, proceeded to present EOS Data Analytics, the hosting company, detailing its inception in 2015 and the range of products and services offered to clients and partners.
Subsequently, Yevhenii Marchenko, Senior Account Executive at EOSDA, presented on EOSDA Crop Monitoring, the company’s premier platform for crop surveillance, field activity planning, and task management.
The EOSDA Crop Monitoring platform provides multiple data points, including advanced weather analytics, seamless synchronization with various data sources, multilayer maps tailored for variable rate applications, comprehensive disease risk assessment, and other capabilities for data-based decision making. Each of these features is designed to provide our clients with an unparalleled level of insight and control over their agricultural operations.
He demonstrated the platform’s capability to visualize and compare field performance, including vegetation and water stress, in a single view, also highlighting the crop rotation history feature available since 2019.
The presentation of Oleksandr Kryvoshein, Senior researcher at EOSDA, began with an exploration of vegetation Indices as vital tools for crop performance analysis.
A vegetation index is a remarkably effective tool for remote crop monitoring. It offers crucial data on field conditions without the necessity of physical presence. This kind of insight is invaluable, as it allows for timely and informed decision-making based on real-time analysis of crop development.
The researcher emphasized the significance of Vegetation Index applications in crop health assessment, explaining the NDVI, MSAVI, RECl, and NDRE indices, their purposes, underlying science, and practical uses.
To demonstrate the practical application of indices, Maksym Bohomolov, Product Manager of EOSDA Crop Monitoring, illustrated how NDVI data is accessed and visualized in EOSDA Crop Monitoring.
Here’s a 75-hectare canola field; with our NDVI map and its accompanying index legend, it takes just a glance to gauge the density of vegetation at any specific point on the field. This level of detail and accessibility transforms the way our clients manage and understand their crops.
Additionally, EOSDA offers bespoke indices through its platform and API.
To underscore the practical value of these indices, Yevhenii Marchenko, Senior Account Executive at EOSDA, took the mic again and shared a few real-life examples. One case study highlighted how NDVI was instrumental in the early detection of mice nests, preventing potential crop damage. Several weeks later, the updated NDVI map revealed the perfect state of that same crop.
In additional applications, MSAVI proved effective for assessing weed growth areas before sowing and monitoring early-stage winter crops in temperate regions where germination risks are high. It was also key in detecting damage to young shoots from abnormal weather conditions like droughts or flooding.
NDRE was highlighted for its ability to detect stress in lower crop layers during late-season monitoring, particularly useful when plants appear healthy and green, and NDVI fails to reflect their true vegetation state.
Yevhenii Marchenko also demonstrated the use of NDMI values in identifying crop stress caused by extended periods of low precipitation.
However, EOS Data Analytics extends beyond existing platforms to offer custom solutions, supported by a Science team of 25 Ph.D. professors and 60 scientists. This expertise enables the creation of tailored solutions that align with long-term client goals.
Our science team at EOS Data Analytics is deeply committed to comprehending the unique challenges and requirements of our clients. We empathize with their struggles and dedicate ourselves to crafting solutions that are as unique as the challenges they face. This tailored approach ensures that we’re providing not just data but actionable insights that make a real difference in our clients’ operations.
So the latter part of the webinar was dedicated to four of the company’s custom solutions, Yield Prediction, Crop Type Classification, Field Boundaries Detection, and Harvest Monitoring:
- Yield Prediction, applicable to any scale from individual fields to entire countries, was exemplified through a case study of winter wheat yield forecasting in Ukraine’s Vinnytsia region, emphasizing the accuracy of the predictions.
- Crop Type Classification is vital for strategic planning of crop distribution, aligning with industry trends and forecasts, and is applicable to both current and past growing seasons.
- Field Boundaries Detection not only outlines fields within a region but also calculates their acreages and exports this data in user-friendly formats.
- Remote Harvest Dynamics Monitoring equips agribusinesses with comprehensive technical reports, enabling them to track harvest progress across all fields.
Towards the end, the focus shifted to EOS SAT-1, an agriculture-focused satellite launched in January 2023, designed to enhance crop monitoring analytics for EOSDA clients. Its advanced spectral bands are expected to yield more precise data, translating into actionable insights for agribusinesses.
The webinar concluded with a Q&A session, offering attendees the opportunity to engage directly with the topics discussed by the speakers.