Data/hora: 02/06/2024 10:33:48

Provedor de dados: | 109
País: | Colombia
Título: | Gray scale of radiographic images in the assessment of degree moisture in soybean seeds
Autores: | Trujillo,Heiber Andrés; Guilhien Gomes-Junior,Francisco; Rondinel-Mendoza,Natalie Verónika; Trujillo,Carlos Humberto.
Data: | 2021-09-01
Ano: | 2021
Palavras-chave: | Glycine max (L.); Digital images; X-rays; Seed quality; Water content; Moisture.
Resumo: | Abstract The moisture degree is one of the most important factors in choosing procedures for obtaining high quality seeds. In most quality control programs, the degree of moisture is determined by laboratory tests, based on the maximum removal of water when the seed is subjected to the application of heat under controlled conditions. The radiographic image is characterized by the generation of images with different levels of gray after the interaction of X-rays with the seed tissues. The objective of this research was to determine the gray scale values of radiographic images of soybean (Glycine max (L.)) seeds with different levels of hydration, aiming to establish relationships with the conventional method of moisture determination. Radiographic images of seeds from two lots were analyzed, with differences in seed size in different periods of hydration. With the images, the gray scale values were determined in different areas of the seed and compared with the humidity test by the conventional method. The gray scale values varied between 120 and 187 and 134 to 215 / pixel for smaller seeds and larger seeds, respectively. The analysis of images according to gray values obtained in different periods of hydration allowed to verify the differences in the shades of the vital structures of soybean seeds of different sizes.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-28122021000300304
Editor: | Universidad Nacional de Colombia
Relação: | 10.15446/acag.v70n3.88319
Formato: | text/html
Fonte: | Acta Agronómica  v.70 n.3 2021
Fonte: | info:eu-repo/semantics/openAccess