A machine learning-derived Climate Suitability Score combined with vegetation indices identifies thirteen priority self-sustaining regreening sites in Saudi Arabia with a projected average 2.5-fold vegetation increase.
Validation of cross-progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat.Theoretical and Applied Genetics, 137:226
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Climate-based Pre-screening of Self-sustaining Regreening Opportunities in Drylands: A Case Study for Saudi Arabia
A machine learning-derived Climate Suitability Score combined with vegetation indices identifies thirteen priority self-sustaining regreening sites in Saudi Arabia with a projected average 2.5-fold vegetation increase.