Author

Danila Eremenko

Observed names: D. Y. Eremenko, Danila Y. Eremenko, Danila Yu. Eremenko

Institutions: Peter the Great St. Petersburg Polytechnic University, All-Russian Institute of Plant Protection

Observed institutions: Peter the Great St. Petersburg Polytechnic University, Agrophysical Research Institute, All-Russian Institute of Plant Protection

ORCID: 0000-0002-1115-7543

Observed ORCID: 0000-0002-1115-7543

OpenAlex ID: A5021577758

Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review

2022 · Anton Terentev, Viktor Dolzhenko, et al. · Sensors · 299

Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina

2023 · Anton Terentev, Vladimir Badenko, et al. · Agriculture · 36

A benchmark study on ship speed prediction models in Arctic conditions: machine learning, process-based and hybrid approaches

2024 · Oleg Tarovik, Danila Eremenko, et al. · Ocean Engineering · 18

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust

2025 · Alexander Fedotov, Danila Eremenko, et al. · Frontiers in Plant Science · 14

Cross-Crop Transferability of Machine Learning Models for Early Stem Rust Detection in Wheat and Barley Using Hyperspectral Imaging

2025 · Anton Terentev, Daria Kuznetsova, et al. · Plants · 11

SurvBeX: an explanation method of the machine learning survival models based on the Beran estimator

2024 · Lev V. Utkin, Danila Y. Eremenko, et al. · International Journal of Data Science and Analytics · 5

SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models

2025 · Lev V. Utkin, Danila Y. Eremenko, et al. · IEEE Access · 2

A Method for Application of Remote Sensing Data in Crop Simulation Models

2023 · Vladimir Badenko, Danila Eremenko, et al. · Lecture notes in networks and systems · 2

Estimation of Spectral Components Parameters of the Time Series of Raw FMCW Radar Data to Determine the Range and Speed of Location Objects

2022 · Alexander A. Fedotov, Vladimir L. Badenko, et al. · International Conference on Electrical Engineering and Photonics (EExPolytech) · 2

Early Differentiation of Barley Diseases (Net Blotch, Spot Blotch, and Stem Rust) Using Hyperspectral Imaging and Machine Learning

2026 · Anton Terentev, Danila Eremenko, et al. · Journal of Fungi

Evaluation of a hyperspectral imaging data processing pipeline for early rust disease diagnosis in grain crops applied to wheat, rye, and barley phenotyping

2026 · D. V. Kuznetsova, O. A. Baranova, et al. · Plant Protection News

Возможности обработки данных лазерного сканирования современными программными продуктами

2016 · Anna Gorb, М. Буряченко, et al.

Works count: 12

Citation count: 389

H-index: 5

I10-index: 5