Farmonov Nizom and Esmaeili M. and Abbasi-Moghadam Dariush and Sharifi Alireza and Amankulova Khilola and Mucsi László:
HypsLiDNet: 3-D-2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification with DESIS and LiDAR Data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 17.
pp. 11969-11996.
ISSN 1939-1404
(2024)
Amankulova Khilola and Farmonov Nizom and Omonov Khasan and Abdurakhimova Mokhigul and Mucsi László:
Integrating the Sentinel-1, Sentinel-2 and Topographic data into soybean yield modelling using Machine Learning.
ADVANCES IN SPACE RESEARCH, 73 (8).
pp. 4052-4066.
ISSN 0273-1177
(2024)
Amankulova Khilola and Farmonov Nizom and Abdelsamei Enas and Szatmári József and Khan Waleed and Zhran Mohamed and Rustamov Jamshid and Akhmedov Sharifboy and Sarimsakov Maksudxon and Mucsi László:
A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 17.
pp. 13694-13707.
ISSN 1939-1404
(2024)
Farmonov Nizom and Amankulova Khilola and Szatmári József and Urinov Jamol and Narmanov Zafar and Nosirov Jakhongir and Mucsi László:
Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation.
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 16 (1).
pp. 847-867.
ISSN 1753-8947
(2023)
Amankulova Khilola and Farmonov Nizom and Akramova Parvina and Tursunov Ikrom and Mucsi László:
Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression.
HELIYON, 9 (6).
ISSN 2405-8440
(2023)
Farmonov Nizom and Amankulova Khilola and Szatmári József and Sharifi Alireza and Abbasi-Moghadam Dariush and Mirhoseini Nejad Seyed Mahdi and Mucsi László:
Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 16.
pp. 1576-1588.
ISSN 1939-1404
(2023)
Farmonov Nizom and Amankulova Khilola and Khan Shahid Nawaz and Abdurakhimova Mokhigul and Szatmári József and Khabiba Tukhtaeva and Makhliyo Radjabova and Khodicha Meiliyeva and Mucsi László:
Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting.
HUNGARIAN GEOGRAPHICAL BULLETIN (2009-), 72 (4).
pp. 383-398.
ISSN 2064-5031
(2023)
Mirhoseini Nejad Seyed Mahdi and Abbasi-Moghadam Dariush and Sharifi Aireza and Farmonov Nizom and Amankulova Khilola and Mucsi László:
Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 16.
pp. 254-266.
ISSN 1939-1404
(2023)
Amankulova Khilola and Farmonov Nizom and Mukhtorov Uzbekkhon and Mucsi László:
Sunflower Crop Yield Prediction by advanced statistical modeling using Satellite-derived Vegetation Indices and Crop Phenology.
GEOCARTO INTERNATIONAL, 38 (1).
ISSN 1010-6049
(2023)
Amankulova Khilola and Farmonov Nizom and Mucsi László:
Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation.
Smart Agricultural Technology, 3.
Terjedelem: 10 p.-Azonosító: 100098.
ISSN 2772-3755
(2023)
Amankulova Khilola and Farmonov Nizom and Gudmann András Viktor and Bónus Krisztián and Mucsi László:
Investigation the reason of affected Hybrid Corn in Agricultural Fields by Using Multi-Temporal Sentinel-2 Images in Mezőhegyes, South-Eastern Hungary.
In:
Az elmélet és a gyakorlat találkozása a térinformatikában XII.: Theory meets practice in GIS.
Debreceni Egyetemi Kiadó, Debrecen, pp. 25-34.
(2021)
ISBN 9789633189771