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Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains.

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Title: Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains.
Authors: Ahmed, Zia Uddin1, z.ahmed@buffalo.eduzahmed2@buffalo.edu, Krupnik, Timothy J.2, t.krupnik@cgiar.org, Timsina, Jagadish2,3, Islam, Saiful2, m.s.islam@cgiar.org, Hossain, Khaled2, m.k.hossain@cgiar.org, Alanuzzaman Kurishi, A. S. M.4, a.kurishi@cgiar.org, Emran, Shah-Al4, emran2@illinois.edu, Harun-Ar-Rashid, M.5, director@sac.org.bd, McDonald, Andrew J.6, ajm9@cornell.edu, Gathala, Mahesh K.2, m.gathala@cgiar.org
Source: Artificial Intelligence in Agriculture; Sep2024, Vol. 13, p100-116, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180815137
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PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.1016/j.aiia.2024.08.001
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains.
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            NameFull: Ahmed, Zia Uddin
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            – D: 01
              M: 09
              Text: Sep2024
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              Y: 2024
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              Value: 13
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            – TitleFull: Artificial Intelligence in Agriculture
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