Optimizing sunflower production through the use of GIS-based soil fertility management strategy

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dc.contributor.authorNungulaa, Emmanuely Z.
dc.contributor.authorMassaweb, Boniface J.
dc.contributor.authorChappac, Luciana R.
dc.contributor.authorNhundab, Daniel M.
dc.contributor.authorSeleimand, Mahmoud F.
dc.contributor.authorAlie , Nawab
dc.contributor.authorGitari, Harun I.
dc.date.accessioned2024-09-09T09:32:52Z
dc.date.available2024-09-09T09:32:52Z
dc.date.issued2024-07-31
dc.descriptionArticle
dc.description.abstractthis study aimed to use a GiS-based approach in producing soil fertility maps and utilize the spatial data on achieving site-specific management of major nutrients in Morogoro, Tanzania. Soil samples were collected in six mapping units and analyzed for chemical properties such as ph, cation exchange capacity and electrical conductivity. arcGiS 10.8 was used to produce nutrient variability maps of organic carbon, available p, total nitrogen and exchangeable K, ......
dc.description.sponsorshipThis work was supported by the researchers Supporting project of King Saud University, Riyadh, Saudi Arabia (rSpD2024r751).
dc.identifier.citationEmmanuely Z. Nungula, Boniface J. Massawe, Luciana R. Chappa, Daniel M. Nhunda, Mahmoud F. Seleiman, Nawab Ali & Harun I. Gitari (2024) Optimizing sunflower production through the use of GIS-based soil fertility management strategy, Cogent Food & Agriculture, 10:1, 2390685, DOI: 10.1080/23311932.2024.2390685
dc.identifier.otherhttps://doi.org/10.1080/23311932.2024.2390685
dc.identifier.urihttps://ir-library.ku.ac.ke/handle/123456789/28736
dc.language.isoen
dc.publishertaylor & Francis
dc.titleOptimizing sunflower production through the use of GIS-based soil fertility management strategy
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