Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan

Elaf Alnayer; Kasba Elsheikh; Amna Alawad; Omayma Husain; Isam Basheir; Abubakr Siddig

doi:10.1109/icecce61019.2023.10442132

Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan

Elaf Alnayer
, Kasba Elsheikh
, Amna Alawad
, Omayma Husain
, Isam Basheir
, Abubakr Siddig

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
Pages	1-6
Number of pages	6
ISBN (Electronic)	9798350369694
DOIs	https://doi.org/10.1109/icecce61019.2023.10442132
Publication status	Published - 30 Dec 2023

Publication series

Name	4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

MLP
XGBoost regressor
crop yield prediction
forecasting
machine learning

Access to Document

10.1109/icecce61019.2023.10442132

Cite this

Alnayer, E., Elsheikh, K., Alawad, A., Husain, O., Basheir, I., & Siddig, A. (2023). Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan. In 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023 (pp. 1-6). (4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023). https://doi.org/10.1109/icecce61019.2023.10442132

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title = "Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan",

keywords = "MLP, XGBoost regressor, crop yield prediction, forecasting, machine learning",

author = "Elaf Alnayer and Kasba Elsheikh and Amna Alawad and Omayma Husain and Isam Basheir and Abubakr Siddig",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.",

year = "2023",

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doi = "10.1109/icecce61019.2023.10442132",

language = "English",

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Alnayer, E, Elsheikh, K, Alawad, A, Husain, O, Basheir, I & Siddig, A 2023, Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan. in 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023. 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023, pp. 1-6. https://doi.org/10.1109/icecce61019.2023.10442132

Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan. / Alnayer, Elaf; Elsheikh, Kasba; Alawad, Amna et al.
4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023. 2023. p. 1-6 (4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan

AU - Alnayer, Elaf

AU - Elsheikh, Kasba

AU - Alawad, Amna

AU - Husain, Omayma

AU - Basheir, Isam

AU - Siddig, Abubakr

PY - 2023/12/30

Y1 - 2023/12/30

KW - MLP

KW - XGBoost regressor

KW - crop yield prediction

KW - forecasting

KW - machine learning

UR - https://www.scopus.com/pages/publications/85187224130

U2 - 10.1109/icecce61019.2023.10442132

DO - 10.1109/icecce61019.2023.10442132

M3 - Conference contribution

T3 - 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

SP - 1

EP - 6

BT - 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023

ER -

Alnayer E, Elsheikh K, Alawad A, Husain O, Basheir I, Siddig A. Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan. In 4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023. 2023. p. 1-6. (4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023). doi: 10.1109/icecce61019.2023.10442132