Szerző: " Amankulova Khilola"

Farmonov Nizom; Esmaeili M.; Abbasi-Moghadam Dariush; Sharifi Alireza; Amankulova Khilola; 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; Farmonov Nizom; Omonov Khasan; Abdurakhimova Mokhigul; 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; Farmonov Nizom; Abdelsamei Enas; Szatmári József; Khan Waleed; Zhran Mohamed; Rustamov Jamshid; Akhmedov Sharifboy; Sarimsakov Maksudxon; 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; Amankulova Khilola; Szatmári József; Urinov Jamol; Narmanov Zafar; Nosirov Jakhongir; 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; Farmonov Nizom; Akramova Parvina; Tursunov Ikrom; 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; Amankulova Khilola; Szatmári József; Sharifi Alireza; Abbasi-Moghadam Dariush; Mirhoseini Nejad Seyed Mahdi; 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; Amankulova Khilola; Khan Shahid Nawaz; Abdurakhimova Mokhigul; Szatmári József; Khabiba Tukhtaeva; Makhliyo Radjabova; Khodicha Meiliyeva; 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; Abbasi-Moghadam Dariush; Sharifi Aireza; Farmonov Nizom; Amankulova Khilola; 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; Farmonov Nizom; Mukhtorov Uzbekkhon; 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; Farmonov Nizom; 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; Farmonov Nizom; Gudmann András Viktor; Bónus Krisztián; 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