Comparação entre índices de vegetação obtidos por imagens aéreas com veículo aéreo não tripulado (VANT) correlacionados com componentes de rendimento da cultura do feijão
The objective was to monitor a bean crop using UAV (Unmanned Aerial Vehicle) in order to correlate production aspects with spectral indices described in the literature. To this end, four flights were carried out using a DJI Phantom 4 PRO model drone, in a commercial plantation of carioca bean cultiv...
| Autor principal: | Vargas, Evelin Gutoski de |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/27797 |
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| Resumo: |
The objective was to monitor a bean crop using UAV (Unmanned Aerial Vehicle) in order to correlate production aspects with spectral indices described in the literature. To this end, four flights were carried out using a DJI Phantom 4 PRO model drone, in a commercial plantation of carioca bean cultivar ANFc 5, in the municipality of Coronel Vivida – PR. The experiment was carried out in a completely randomized design with 30 replications. The culture was conducted in accordance with the management adopted by the producer and when it was in the phenological stages of V2, R6, R8 and R9, flights were carried out that were planned through the Maply Mission Planner application, with the aid of a tablet. Then, the data obtained were processed using the software Agisoft Photoscan Professional and QGis Las Palmas, where each parcel was delimited as work zones, in order to create statistics regarding the visible R, G and B bands in the last application. The generated values were exported to LibreOffice Calc, where the vegetation indices were calculated: NGRDI, RI, EXG, EXR, EXGR, CIVE, COM, VEG. After crop desiccation, when it had approximately 15% grain moisture, 3 m2 of useful area of each plot was counted and collected to determine the variables: NP - number of plants per plot, PM - plants per meter, VP – pods per plant, GV – grains per pod, PMS – weight of a thousand seeds and PROD – productivity. Once these processes were completed, through the Genes software (CRUZ, 2013), the statistical analysis was generated through ANOVA (p<0.05) and the Pearson correlation test. It was concluded that in the phenological stage of R2, the flying with UAV is not able to result in indexes correlated with the components of productivity of the bean. The determination of the VP and GV of bean plants of the cultivar ANFc 5 can be carried out through flights with UAV, in the phenological stages of R6, R8 and R9. In the phenological stage of R6, PV is correlated with NGRDI, EXG, CIVE and COM and GV is correlated with NGRDI, EXG, CIVE, VEG and COM. In the phenological stage of R8, PV is correlated with EXG, EXGR, CIVE and COM and GV is correlated with VEG. In the phenological stage of R9, VP is correlated with EXGR and CIVE, while GV is correlated with all mathematical indices evaluated in this experiment. Furthermore, the variables NP, PM, PMS and PROD did not show correlation with any mathematical index evaluated in any of the studied phenological stages. |
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