USE OF REMOTELY PILOTED AIRCRAFT (RPA) IN ESTIMATING HEIGHT, COVERAGE AND FORAGING MASS OF Urochloa ruziziensis

There is a growing interest in the use of Remotely Piloted Aircraft (RPA) to monitorplant growth and development. In this context, the present study aimed to use the ARP platformand geoprocessing techniques to estimate height, vigor and forage mass production of Urochloaruziziensis cvs. Kennedy and...

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Bibliographic Details
Authors: Guimarães Andrade, Ricardo, Cicarini Hott, Marcos, Pereira de Magalhães Junior, Walter Coelho, Campos Paciullo, Domingos Sávio, de Miranda Gomide, Carlos Augusto, Duarte da Rocha, Wadson Sebastião
Format: article
Status:Published version
Publication Date:2024
Country:Brasil
Institution:Universidade Federal de Alagoas (UFAL)
Repository:Ciência Agrícola (Online)
Language:Portuguese
OAI Identifier:oai:www.seer.ufal.br:article/16236
Online Access:https://www.seer.ufal.br/index.php/revistacienciaagricola/article/view/16236
Access Level:Open access
Keyword:Geotechnologies
Remote Sensing
Precision Pasture
Biophysical Parameters
Agronomic Characteristics
Geotecnologias
Sensoriamento Remoto
Pastagem de precisão
parâmetros biofísicos
características agronômicas
Produção Vegetal
Agricultura de Precisão
Monitoramento de Pastagens
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Summary:There is a growing interest in the use of Remotely Piloted Aircraft (RPA) to monitorplant growth and development. In this context, the present study aimed to use the ARP platformand geoprocessing techniques to estimate height, vigor and forage mass production of Urochloaruziziensis cvs. Kennedy and BRS Integra. The height of the plants was estimated from geoprocessingtechniques applied to the images captured by the RGB sensor and the vegetation indices (NDVI andNDRE) were generated from the images captured by the multispectral sensor. The indices made itpossible to evaluate the vigor and mass production of the cultivars. The indices performed well andwere sensitive in discriminating classes in intervals that indicate from soil exposure and stress dueto pest infestation (low vigor) to conditions in which the vegetation presents good development, inintervals of classes with high indices of vegetation. Furthermore, by relating the NDVI with the sampledata collected in the field, it was possible to generate a linear regression model (R2 = 0.95) capableof estimating the forage mass of Urochloa ruziziensis. In general, the techniques applied proved to bepromising to evaluate the agronomic characteristics of plants.

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