Abstract

SOLIS-PINO, ANDRÉS-FELIPE,; REVELO-LUNA, DAVID-ARMANDO,; CAMPO-CEBALLOS, DIEGO-ANDRÉS,  and  GAVIRIA-LOPEZ, CARLOS-ALBERTO,. Correlation of foliar chlorophyll content of the specie Coffea arabica with spectral indices in images. Rev.Bio.Agro [online]. 2021, vol.19, n.2, pp.57-68.  Epub June 30, 2021. ISSN 1692-3561.  https://doi.org/10.18684/bsaa.v19.n2.2021.1536.

Chlorophyll is a fundamental pigment for the photosynthetic processes of plant species and constitutes a limitation in agricultural production. The estimation of the content of leaf chlorophyll (LCC) is generally carried out through invasive spectrophotometric techniques. The multispectral images and the Vegetation Indexes (IV) constitute an important alternative because they allow the estimation in situ of the pigment. This work, it is intended to find the variability and relationships between the localized content of chlorophyll, of the Coffea arabica species, and IV taken from multispectral images. A random sampling of leaves was carried out, and healthy and sick leaves were selected. The LCC of 60 samples was estimated by spectrophotometry and the correlation coefficient with IV was found. The best indicators of the pigment were the GARI, GNDVI, and NDVI indexes, among 14 indexes studied. It was found that the variability of IV data in different areas of diseased leaves, agrees with the distribution of non-homogeneous chlorophyll in those leaves since chlorophyll degradation in this variety does not behave in an isotropic way. This result encourages the possibility of using this technique to infer the health status of this plant.

Keywords : Leaf chlorophyll content; Vegetation index; Spectrophotometry; Multispectral images; Correlation; Field Crops; Precision agriculture; Multispectral cameras; NDVI; GARI; GRNDVI.

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