Scientist at EOS Data Analytics
Natalia Ivanchuk holds a Master’s degree in Applied Mathematics (2013) from the National University of Water and Environmental Engineering. She is an author of 60+ scientific publications, monographs, and other scientific works.
In 2019, she successfully defended a thesis, “Mathematical modeling of filtration processes in soil environments taking into account the influence of elements of engineering structures” and earned the Candidate of Technical Sciences degree.
Currently, Natalia is an Associate Professor at the Department of Computer Sciences and Applied Mathematics at the National University of Water and Environmental Engineering in Rivne, Ukraine. She teaches different programming languages (C++, C#, JS, among others) at the said university.
Natalia is actively engaged in scientific research related to the practical application of new programming algorithms. Programming is also something she likes to do in her spare time.
Her expertise and constant desire to learn and perfect her programming skills, especially in working with Python, has been most beneficial for EOS Data Analytics.
Crop Classification And Field Boundaries In Kyrgyzstan
In a custom project, EOS Data Analytics trained a neural network model to perform crop classification of arable and non-arable land in Kyrgyzstan with active agriculture production.
Weather In Agriculture: Accuracy Promotes Success
Despite the availability of meteorological data, the weather vs. agriculture issue persists. This is because public data is imprecise for farming. Rather, accurate hyperlocal data assures growers that the weather supports agriculture efforts.
EOS SAT Agro-focused Constellation: Tech Overview
The first of seven satellites within the EOS SAT constellation is planned for launch in 2023. The article overviews EOS SAT-1 and the constellation’s capabilities: band combinations, land coverage, temporal and optical resolution of images, etc.
Sugarcane Harvest Monitoring In Brazil: Dates And Areas
EOSDA defined harvest status and dates and calculated areas of sugarcane fields within the custom agritech project for a company from Brazil. The science team used satellite data, agro calendar, and weather data.
Drones And Satellites: Should They Coexist In AgriTech?
While serving the same goal of helping farmers, satellites and drones are different in what they offer to agribusinesses. However, if used wisely, they do not compete but rather supplement each other, and here is how.
How EOSDA Helps Input Suppliers In Ukraine Boost Sales
In this interview, Vitalii Vyshniak, Account Executive at EOSDA, explains how satellite technologies help input suppliers sell seeds and fertilizers in Ukraine despite the war.
More Data Formats And Modes: New In EOSDA Solutions
EOSDA Crop Monitoring and EOSDA Forest Monitoring keep evolving with the following new features appearing lately: ISO-XML and SHP file format support, full-screen mode, variable detail level, and greenhouse gas tracking.
Wildfire Prevention: How To Prevent Forest Fires
Forest fires cause whopping losses globally every year and often start due to human-related ignition. Therefore, caution and wildfire prevention measures are important. Satellite monitoring helps notice and address the problem on time.