A Low-cost Image Processing Based Technique to Estimate Chlorophyll in Winter Wheat

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dc.contributor.authorTushar, Sree Nirmillo Biswash
dc.contributor.authorPal, Tapos
dc.contributor.authorDas, Sree Sourav
dc.contributor.authorImam, Md Mehedi
dc.contributor.authorReja, Mohammad Istiaque
dc.date.accessioned2026-07-06T21:27:30Z
dc.date.available2026-07-06T21:27:30Z
dc.date.issued7-Feb-2019
dc.description.abstractThis paper presents a fast low-cost image
dc.description.abstractprocessing method for the prediction of chlorophyll content in
dc.description.abstractBARI gom, a winter wheat variety in Bangladesh. SPAD-502
dc.description.abstractwas used as chlorophyll meter in this work and pictures of
dc.description.abstractwheat leaf were taken by Smart Phone Camera with small
dc.description.abstractadjustments. It is found that in the late vegetative stage, the
dc.description.abstract“(a*-b*)” index from L*a*b* color model has the most
dc.description.abstractsignificant correlation with SPAD-502 chlorophyll data
dc.description.abstractcompared to other indexes from L*a*b* and HSV color model.
dc.description.abstractMoreover, an equation is developed to calculate the chlorophyll
dc.description.abstractcontent from “(a*-b*)” color index using linear regression
dc.description.abstractmethod. Thereafter, the equation is tested against 36 samples in
dc.description.abstracta random manner and an average accuracy of almost 90% is
dc.description.abstractfound over the range from 30 to 50.
dc.identifier.otherhttp://103.99.128.19:8080/jspui/handle/123456789/282
dc.identifier.urihttp://103.99.128.19:8080/xmlui/handle/123456789/282
dc.publisherFaculty of Electrical and Computer Engineering, CUET
dc.sourceCUET Digital Repository
dc.subjectSPAD-50
dc.subjectCorrelation
dc.subjectLinear Regression
dc.titleA Low-cost Image Processing Based Technique to Estimate Chlorophyll in Winter Wheat
dc.title.alternativeInternational Conference on Electrical, Computer and Communication Engineering (ECCE-2019)

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