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

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

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

Access to Document

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

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

year = "2023",

month = dec,

day = "30",

doi = "10.1109/icecce61019.2023.10442132",

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booktitle = "2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)",

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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

U2 - 10.1109/icecce61019.2023.10442132

DO - 10.1109/icecce61019.2023.10442132

M3 - Conference contribution

SP - 1

EP - 6

BT - 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)

ER -