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Kang, Yun‐Gu, Lee, Jun‐Yeong, Kim, Jun‐Ho, Oh, Taek‐Keun (2024) Quantifying soil organic matter for sustainable agricultural land management with soil color and machine learning technique. Agronomy Journal, 116 (3) 982-989 doi:10.1002/agj2.21525

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Reference TypeJournal (article/letter/editorial)
TitleQuantifying soil organic matter for sustainable agricultural land management with soil color and machine learning technique
JournalAgronomy Journal
AuthorsKang, Yun‐GuAuthor
Lee, Jun‐YeongAuthor
Kim, Jun‐HoAuthor
Oh, Taek‐KeunAuthor
Year2024 (May)Volume116
Issue3
PublisherWiley
DOIdoi:10.1002/agj2.21525Search in ResearchGate
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Mindat Ref. ID17382708Long-form Identifiermindat:1:5:17382708:8
GUID0
Full ReferenceKang, Yun‐Gu, Lee, Jun‐Yeong, Kim, Jun‐Ho, Oh, Taek‐Keun (2024) Quantifying soil organic matter for sustainable agricultural land management with soil color and machine learning technique. Agronomy Journal, 116 (3) 982-989 doi:10.1002/agj2.21525
Plain TextKang, Yun‐Gu, Lee, Jun‐Yeong, Kim, Jun‐Ho, Oh, Taek‐Keun (2024) Quantifying soil organic matter for sustainable agricultural land management with soil color and machine learning technique. Agronomy Journal, 116 (3) 982-989 doi:10.1002/agj2.21525
In(2024, May) Agronomy Journal Vol. 116 (3) Wiley

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