Detalhes bibliográficos
| Ano de defesa: |
2018 |
| Autor(a) principal: |
Visentini, Gustavo César
 |
| Orientador(a): |
Pavan, Willingthon
|
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade de Passo Fundo
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Computação Aplicada
|
| Departamento: |
Instituto de Ciências Exatas e Geociências – ICEG
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://tede.upf.br/jspui/handle/tede/1667
|
Resumo: |
The amplification of the field of vision of something of interest can bring several benefits, among them,the obtaining and analysis of data from cultivars in the agricultural environment in a more agile way.This is a process in which multiple images captured in sequence must be aligned according to points incommon between them, thus forming a mosaic or a large map. In this context, this work presents them development of an aerial image acquisition and processing platform, which integrates two softwares: an iOS application of autonomous Drones control, used to capture the images; and mosaic software usingthe OpenCV framework. As a case study, data from an experiment of Embrapa Trigo’s responsibility were used in experimental area II in Coxilha - RS. Using the platform and a TETRACAM multispectral sensor coupled to a Drone, NDVI data of the cultivars were collected and later an analysis explains that the NDVI obtained by the sensors presented a direct relationship with the cultivar productivity. |
