Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria

Safwan Mohammed; Ali Jouhra; Glory O. Enaruvbe; Bashar Bashir; Mona Barakat; Firas Alsilibe; Luc Cimusa Kulimushi; Abdullah Alsalman; Szilárd Szabó

doi:10.1002/ldr.4655

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Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria

Journal article

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Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria

Safwan Mohammed, Ali Jouhra, Glory O. Enaruvbe, Bashar Bashir, Mona Barakat, Firas Alsilibe, Luc Cimusa Kulimushi, Abdullah Alsalman and Szilárd Szabó

Land degradation & development, Vol.34(10), pp.2896-2911

06/2023

DOI: https://doi.org/10.1002/ldr.4655

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Title: Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria
Creators - without role: Safwan Mohammed - University of Debrecen
Ali Jouhra - Tishreen University
Glory O. Enaruvbe - Obafemi Awolowo University
Bashar Bashir - King Saud University
Mona Barakat - Tishreen University
Firas Alsilibe - Széchenyi István University
Luc Cimusa Kulimushi - Université Catholique de Bukavu
Abdullah Alsalman - King Saud University
Szilárd Szabó - University of Debrecen
Publication Details: Land degradation & development, Vol.34(10), pp.2896-2911
Identifiers: 9946865808331
Academic Unit: King Saud University
Language: English
Resource Type: Journal article