Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

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)

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Multispectral_Crop_Yield_Prediction_Using_3D-Convolutional_Neural_Networks_and_Attention_Convolutional_LSTM_Approaches.pdf - Published Version

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Creators:
Mirhoseini Nejad Seyed Mahdi
Abbasi-Moghadam Dariush
Sharifi Aireza
Farmonov Nizom MTMT
Amankulova Khilola MTMT
Mucsi László MTMT
Item Type: Journal Article
Journal or Publication Title: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Date: 2023
Volume: 16
Page Range: pp. 254-266
ISSN: 1939-1404
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 33291883
DOI azonosító: https://doi.org/10.1109/JSTARS.2022.3223423
Date Deposited: 2022. Dec. 14. 14:29
Last Modified: 2024. Mar. 14. 15:17
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/25775
Web of Science® Times Cited: 60 View citing articles in Web of Science®

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