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Publication
Estimation of Productivity and Above-Ground Biomass for Corn (Zea mays) via Vegetation Indices in Madeira Island
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Advisor(s)
Abstract(s)
The advancement of technology associated with the field, especially the use of unmanned
aerial vehicles (UAV) coupled with multispectral cameras, allows us to monitor the condition of
crops in real time and contribute to the field of machine learning. The objective of this study was
to estimate both productivity and above-ground biomass (AGB) for the corn crop by applying
different vegetation indices (VIs) via high-resolution aerial imagery. Among the indices tested, strong
correlations were obtained between productivity and the normalized difference vegetation index
(NDVI) with a significance level of p < 0.05 (0.719), as well as for the normalized difference red edge
(NDRE), or green normalized difference vegetation index (GNDVI) with crop productivity (p < 0.01),
respectively 0.809 and 0.859. The AGB results align with those obtained previously; GNDVI and
NDRE showed high correlations, but now with a significance level of p < 0.05 (0.758 and 0.695).
Both GNDVI and NDRE indices showed coefficients of determination for productivity and AGB
estimation with 0.738 and 0.654, and 0.701 and 0.632, respectively. The use of the GNDVI and NDRE
indices shows excellent results for estimating productivity as well as AGB for the corn crop, both at
the spatial and numerical levels. The possibility of predicting crop productivity is an essential tool
for producers, since it allows them to make timely decisions to correct any deficit present in their
agricultural plots, and further contributes to AI integration for drone digital optimization.
Description
Keywords
Precision agriculture NDRE NDVI GNDVI Modeling training Machine learning Multispectral images Artificial intelligence . Escola Superior de Tecnologias e Gestão Faculdade de Ciências da Vida
Citation
Macedo, F.L.; Nóbrega, H.; de Freitas, J.G.R.; Ragonezi, C.; Pinto, L.; Rosa, J.; Pinheiro de Carvalho, M.A.A. Estimation of Productivity and Above-Ground Biomass for Corn (Zea mays) via Vegetation Indices in Madeira Island. Agriculture 2023, 13, 1115. https://doi.org/10.3390/ agriculture13061115
Publisher
MDPI