Estimation of failures in soybean crops from aerial images obtained by RPA

Autores

  • Jadson Maximiano da Silva IFSULDEMINAS - Campus Inconfidentes
  • José Luiz de Andrade Rezende Pereira
  • João Edson Costa Ferreira da Silva
  • Ângelo Marcos Santos Oliveira
  • Taiane Aparecida Fernandes Carvalho

DOI:

https://doi.org/10.18406/2316-1817v13n420211640

Palavras-chave:

Falhas de plantio, Aerofotogrametria, Classificação Supervisionada

Resumo

The dissemination of Remotely Piloted Aircraft (RPA) in the agricultural sector made it possible to map crop failures and disease incidence. This work aims to estimate crop failures. For that purpose, we conducted three experiments with a soybean crop at the IFSULDEMINAS school farm - Inconfidentes Campus, by carrying out an aerial survey with an RPA, which generated an orthophoto of the area of interest. To quantify the failures existing in the experiments, we carried out a supervised classification to distinguish the soybean plants of the exposed soil. After the classification, the kappa index was calculated to verify whether the classification was satisfactory. With this, it was possible to calculate the percentage of failures obtained in each plot of the experiment. Finally, we analyzed the variance to verify if the percentage of failures of each plot had significant differences between them. We observed that in two experiments, there was a statistical difference in the number of failures, and in one experiment there was no difference.

Referências

CATANI, Renan. Monitoramento temporal da cultura da soja através do sensoriamento remoto com a utilização de um RPA. 2018. Trabalho de Conclusão de Curso. Universidade Tecnológica Federal do Paraná.

CHAVES, Arthur Avelar; LA SCALEA, Rodrigo Antonio. Uso de VANTs e processamento digital de imagens para a quantificação de áreas de solo e de vegetação. Anais XVII Simpósio Brasileiro de Sensoriamento Remoto-SBSR, João Pessoa-PB, Brasil, v. 25, 2015.

COELHO, Luiz; BRITO, Jorge Nunes (Ed.). Fotogrametria Digital. Rio de Janeiro: Editora da Universidade do Estado do Rio de Janeiro, 2007. 196 p.

FERREIRA, D.F. Sisvar: a computer statistical analysis system. Ciência e Agrotecnologia, 2011. v. 35, n. 6, p. 1039-1042.

MOREIRA, M. A. Fundamentos do sensoriamento remoto e metodologias de aplicação. São José dos Campos: Instituto Nacional de Pesquisas Espaciais – INPE, 2001.

SCOTT, A.; KNOTT, M. Cluster-analysis method for grouping means in analysis of variance. Biometrics, Washington D.C., v. 30, n.3, p.507-512, 1974.

Publicado

22-01-2022

Como Citar

Silva, J. M. da, Pereira, J. L. de A. R., Silva, J. E. C. F. da, Oliveira, Ângelo M. S., & Carvalho, T. A. F. (2022). Estimation of failures in soybean crops from aerial images obtained by RPA. Revista Agrogeoambiental, 13(4). https://doi.org/10.18406/2316-1817v13n420211640

Edição

Seção

Artigo Científico