Smartphone Contact Imaging and 1-D CNN for Leaf Chlorophyll Estimation in Agriculture
Smartphone Contact Imaging and 1-D CNN for Leaf Chlorophyll Estimation in Agriculture
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Traditional leaf chlorophyll estimation using Soil Plant Analysis Development (SPAD) devices and spectrophotometers is a high-cost mechanism in agriculture. Recently, research on chlorophyll estimation using leaf camera images and machine learning has been seen. However, these techniques use self-defined image color combinations where the system pe...
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Full title
Smartphone Contact Imaging and 1-D CNN for Leaf Chlorophyll Estimation in Agriculture
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TN_cdi_doaj_primary_oai_doaj_org_article_0b1dfd41c37045989671dd2c42898ed1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0b1dfd41c37045989671dd2c42898ed1
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ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture14081262
