Quantifying rangeland aboveground biomass dynamics using data fusion and machine learning framework in the Borana rangelands of Ethiopia
Berhan Gessesse(Kotebe University of Education), Abdissa Yilma(GeoSAS (Ethiopia)), Talema Moged(GeoSAS (Ethiopia)), Samuel Tuffa(Ethiopian Institute of Agricultural Research), Gizachew Kabite(GeoSAS (Ethiopia)), Yoseph Mekasha(Ethiopian Institute of Agricultural Research), Mohammed Abdulatife(Ethiopian Institute of Agricultural Research), Dagnachew Lule(Ethiopian Institute of Agricultural Research), Temesgen Gebeyehu(Ethiopian Institute of Agricultural Research), Bekele Bedada(GeoSAS (Ethiopia)), Belachew Tsehay(GeoSAS (Ethiopia)), Gelana Daba(GeoSAS (Ethiopia)), Wondimu Haimanote(GeoSAS (Ethiopia)), Kaleab Walelign(Ethiopian Institute of Agricultural Research), Ezedin Abdela(Ethiopian Institute of Agricultural Research), Zerihun Chere(GeoSAS (Ethiopia)), Girum Ketema(Ethiopian Institute of Agricultural Research), Bireda Alemayehu(GeoSAS (Ethiopia))
Cited by 0
Related Papers
A Large-Scale Genome-Wide Association Analyses of Ethiopian Sorghum Landrace Collection Reveal Loci Associated With Important Traits
|Frontiers in Plant Science|2019|115
Crop residue allocation to livestock feed, soil improvement and other uses along a productivity gradient in Eastern Africa
|Agriculture Ecosystems & Environment|2016|87
Genome analyses reveal population structure and a purple stigma color gene candidate in finger millet
|Nature Communications|2023|59
A comprehensive phenotypic and genomic characterization of Ethiopian sorghum germplasm defines core collection and reveals rich genetic potential in adaptive traits
|The Plant Genome|2020|49
Assessment of farmers’ perceptions of production constraints, and their trait preferences of sorghum in western Ethiopia: implications for anthracnose resistance breeding
|Acta Agriculturae Scandinavica Section B - Soil & Plant Science|2018|35