Feasibility of using smart phones to estimate chlorophyll content in corn plants

dc.contributor.author Vesali, F.
dc.contributor.author Omid, M.
dc.contributor.author Kaleita, Amy
dc.contributor.author Mobli, H.
dc.contributor.author Kaleita, Amy
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2021-07-01T22:44:47.000
dc.date.accessioned 2021-08-14T00:16:54Z
dc.date.available 2021-08-14T00:16:54Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.issued 2017-01-01
dc.description.abstract <p>New spectral absorption photometry methods are introduced to estimate chlorophyll (Chl) content of corn leaves by smart phones. The first method acquires light passing through a leaf by smartphone camera, compensating for differences in illumination conditions. In order to improve performance of the method, spectral absorption photometry (SAP) with background illumination has been considered as well. Data were acquired by smartphone camera in Iowa State University maize fields. Various indices were extracted and their correlation with Chl content were examined by Minolta SPAD-502. Hue index in SAP reached R ² value of 0.59. However, with light-aided SAP (LASAP), R ² of 0.97 was obtained. Among traits, the vegetation index gave the most accurate indication. We can conclude that the high performance of LASAP method for estimating Chl content, leads to new opportunities offered by smart phones at much lower cost. This is a highly accurate alternative to SPAD meters for estimating Chl content nondestructively.</p>
dc.description.comments <p>This article is published as Vesali, F., M. Omid, H. Mobli, and A. Kaleita. "Feasibility of using smart phones to estimate chlorophyll content in corn plants." <em>Photosynthetica</em> 55, no. 4 (2017): 603-610. DOI: <a href="https://doi.org/10.1007/s11099-016-0677-9" target="_blank">10.1007/s11099-016-0677-9</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/1224/
dc.identifier.articleid 2511
dc.identifier.contextkey 23623240
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/1224
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1wgeXGjr
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/1224/0-2017_KaleitaAmy_FeasibilityUsing_PermGrant.pdf|||Fri Jan 14 19:16:24 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/1224/2017_KaleitaAmy_FeasibilityUsing.pdf|||Fri Jan 14 19:16:26 UTC 2022
dc.source.uri 10.1007/s11099-016-0677-9
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Android phone
dc.subject.keywords color index
dc.subject.keywords SPAD meter
dc.subject.keywords spectral absorption photometry
dc.title Feasibility of using smart phones to estimate chlorophyll content in corn plants
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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