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Citizen science and remote sensing for crop yield gap analysis
Author(s) -
E.A. Beza
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.18174/420049
Subject(s) - yield (engineering) , crop , yield gap , citizen science , data science , geography , remote sensing , environmental science , agronomy , computer science , biology , physics , botany , thermodynamics

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