Índices de vegetação obtidos por sensor proximal e embarcado em aeronave remotamente pilotada e sua relação com a produtividade do milho

Different vegetation indices (IVs) have been used as a tool to evaluate plant biophysical parameters. Among these, we highlight the success of NDVI in the evaluation of nitrogen nutritional status (N) in maize, wheat, barley, among others. The objective of the study was to evaluate the relationship...

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Detalles Bibliográficos
Autor: Carvalho, Luiz Felipe Diaz de
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2019
País:Brasil
Institución:Universidade Federal de Santa Maria (UFSM)
Repositorio:Manancial - Repositório Digital da UFSM
Idioma:portugués
OAI Identifier:oai:repositorio.ufsm.br:1/18963
Acceso en línea:http://repositorio.ufsm.br/handle/1/18963
Access Level:acceso abierto
Palabra clave:Agricultura de precisão
Nitrogênio
Sensoriamento remoto
Sistema de aeronave remotamente pilotada
Precision agriculture
Nitrogen
Remote sensing
Remotely piloted aircraft system
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
Descripción
Sumario:Different vegetation indices (IVs) have been used as a tool to evaluate plant biophysical parameters. Among these, we highlight the success of NDVI in the evaluation of nitrogen nutritional status (N) in maize, wheat, barley, among others. The objective of the study was to evaluate the relationship between IVs determined by optical sensors, boarded on two different platforms, the proximal, and the Remotely Piloted Aircraft System (SARP). Quantifications were carried out at several corn phenological stages, under cultivation submitted to different N nutritional conditions. At the time of maize sowing, N doses of 20, 60, 120, 180 and 240 kg ha-1 were applied, arranged in a randomized block design, with 5 replicates each. The IVs investigated were NDRE and NDVI (proximal platform), and NDRE, NDVI, EVI2 and GNDVI (in SARP platform), evaluated in the phenological stages V5, V6, V7, V9, V11 and V12. For a population of 6400 plants evaluated by platforms, the spatial resolution obtained for the embedded platform was 3.7 cm / px-1 in the monochromatic and 0.8 cm / px-1 in the RGB mode. The nutritional status of the corn was monitored by evaluating the N content in the aerial part of the plant and N absorbed at harvest. In the first article a relation of the vegetation indices with the nutritional state of the plants was carried out and comparing the proximal sensors with embedded in SARP. In the second article, correlations of vegetation indices with corn yield were carried out.