Francis Muthoni, Christian Thierfelder, Bester Tawona Mudereri, Julius Manda, Mateete Bekunda, Irmgard Hoeschle-Zeledon. Machine learning model accurately predict maize grain yields in conservation agriculture systems in Southern Africa. In 9th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2021, Shenzhen, China, July 26-29, 2021. pages 1-5, IEEE, 2021. [doi]
@inproceedings{MuthoniTMMBH21,
title = {Machine learning model accurately predict maize grain yields in conservation agriculture systems in Southern Africa},
author = {Francis Muthoni and Christian Thierfelder and Bester Tawona Mudereri and Julius Manda and Mateete Bekunda and Irmgard Hoeschle-Zeledon},
year = {2021},
doi = {10.1109/Agro-Geoinformatics50104.2021.9530335},
url = {https://doi.org/10.1109/Agro-Geoinformatics50104.2021.9530335},
researchr = {https://researchr.org/publication/MuthoniTMMBH21},
cites = {0},
citedby = {0},
pages = {1-5},
booktitle = {9th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2021, Shenzhen, China, July 26-29, 2021},
publisher = {IEEE},
isbn = {978-1-7281-6561-5},
}