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Spectral analysis for phenological studies of leaves and fruits development in coffee plantation in Gunung Puntang: A preliminary result

Ghazali M.F.a,b,c, Wikantika K.a,b, Tridawati A.a, Harto A.B.a

a Center for Remote Sensing, Bandung Institute of Technology (CRS-ITB), Bandung, Indonesia
b ForMIND Institute, Indonesia
c Department of Geodesy and Geomatics Engineering, University of Lampung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IOP Publishing Ltd. All rights reserved.This is important to know plant health that affects fruits production. Especially in a coffee plantation, even though it will be dried before harvesting, the farmers depend on their fruits and only the mature will be taken. The biochemical parameters in leaves and coffee fruits will be defined as the major factors in determining plant health. Both leaf and fruit coffee’s reflectance used to determine biochemical content during its development stages. Some of modification vegetation indices that used to evaluate the greenness level, chlorophyll and water content, and colorization named MNDVI, MCARIs, MNDWI and MYI and the associated indices with all parameters name REPD was used to understand the leaves development. The result shows that all leaves biochemical factors are decreased during its development. All factors also shown a moderate to strong relationship each other. The highest correlation is given by the water content based on the estimated values of MYI. It has R2 -0.96 to the values of REPD. Since the REPD capable to control the values of MNDVI, MCARIs, and MNDWI with R2 -0.91, -0.66 and -0.71 respectively.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Biochemical parameters,Coffee fruits,Coffee plantation,Development stages,Major factors,Plant healths,Vegetation index[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/500/1/012024[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]