Image processing of artificial targets for automatic evaluation of spray quality

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

Marcal, ARS (Autor) FCUP; Cunha, M (Autor) FCUP

Revista

Título: Transactions - American Society of Agricultural Engineers: General Edition

Vol. 51 Nº 3

Páginas: 811-821

ISSN: 0001-2351

Editora: American Society of Agricultural Engineers

Indexação

ISI Web of Knowledge - 33 Citações

Scopus - 36 Citações

Classificação Científica

FOS: Ciências agrárias > Biotecnologia agrária e alimentar

Outras Informações

ID Authenticus: P-004-02B

Abstract (EN): A fully automatic methodology based on image processing is proposed to evaluate the quality of spray application sampled by water-sensitive papers (WSP). The methods proposed permit a computation of the fraction of spray coverage, an evaluation of the homogeneity of the spray spatial spread at various scales and directions, and extraction of stain and droplet size range and distribution. This allows the number of droplets per unit area and the standard droplet size spectra factors to be computed. The methods were tested with a number of test samples scanned at different resolutions, proving to be effective in situations where there is high spray coverage in the WSP, thus with considerable overlap between stains. The most suitable scanning resolution was found to be 600 dpi. The results obtained by the image processing methods were successfully compared with a manual (visual) counting of stains in a test sample.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11