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Author

Jemal Mohammed

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Open access Oct 2026

Phenology-driven multisensor unsupervised crop mapping in data-scarce irrigated agriculture: a case of Adea District in Ethiopia

Accurate irrigation planning, water allocation, and agricultural productivity assessment are frequently constrained in data-scare regions where reliable ground-based crop information and spatial coverage data are limited. This study addresses these gaps using a phenology-driven, multisensor unsupervised crop-mapping...

B. Kidanewold, Jemal Mohammed, Rahel Sintayehu et al. · 0 citations

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