Image processing to identify damage to soybean seeds

Monteiro, Rita de Cassia Mota; Gadotti, Gizele Ingrid; Maldaner, Vanessa; Curi, Amanda Bento Jorge; Neto, Michaela Bárbara

doi:10.1590/0103-8478cr20200107

Cited by 8 publications

(8 citation statements)

References 5 publications

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“…These same genotypes had lower values for vigor and viability (Figures 2d and e) as well as germination (Figures 1a-c) than the other genotypes. The results for weathering damage in the present study are inconsistent with those of Monteiro et al (2021). Genotypes 108, 164, and 169 had the highest weathering damage values but were among the genotypes with higher vigor and viability (Figures 2d and e) and germination success (Figure 1).…”

Section: Resultscontrasting

confidence: 96%

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Physiological quality of soybean seeds and the influence of maturity group

et al. 2022

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Productive soybean genotypes is one of the main objectives of soybean breeding programs. However, there are few studies on the selection of characteristics associated with the quality and performance of soybean seeds. The objective in this study was to predict physiological and genetic parameters associated with seed quality in segregating soybean populations derived from parents of differing maturity groups. Eight genotypes of the F2:3 segregating soybean population (numbered 163, 24, 57, 108, 164, 169, 157, and 81) cultivated in the 2018/19 harvest were evaluated. To conduct the experiment, a completely randomized design was used. The physiological quality of the seeds was evaluated by germination test, tetrazolium test, and image analysis. Statistical analyses were performed by using a mixed model approach. Greater seed vigor was observed in the genotypes 108, 164, and 169, whose results were among the best for most of the analyzed parameters. The greater mechanical damage and damage due to stink bugs can explain the lower vigor of some seeds, as observed in genotypes 57 and 163, while weathering damage did not correspond to the results of the seed vigor tests. The analyses indicated a greater influence of genetic characteristics than of relative maturity group on the responses of the genotypes. No effect of relative maturity group on soybean seed vigor was evident.

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Section: Resultscontrasting

confidence: 96%

“…By using the image analysis technique on soybean seeds, Monteiro et al (2021) revealed reductions in germination and vigor with increasing damage. In the present study, the greatest mechanical damage was observed in genotype 57, and genotype 163 exhibited the greatest stink bug damage (Figures 2a and c).…”

Section: Resultsmentioning

confidence: 99%

Physiological quality of soybean seeds and the influence of maturity group

et al. 2022

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“…The green scale can be used to separate different defects in parboiled rice and the red scale is not suitable for separating different defects in white or parboiled rice. To identify damage to soybean seeds, MONTEIRO et al (2021) concluded that the red scale is more interesting for greenish seeds.…”

Section: Resultsmentioning

confidence: 99%

Separation of coriander seeds by Red, Green and Blue image processing

et al. 2022

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Coriander seeds have high socio-economic value in several regions of Brazil, especially in the North and Northeast. Seed maturation determined by color influences the seed quality. With this, digital image processing has become an important tool for separating seeds by color since this classification is usually performed by humans and is highly susceptible to error. The study established parameters for separating coriander seeds by red green and blue (RGB) image analysis, seeking a better selection of coriander seeds according to their color, and evaluating the physiological quality by the germination test. Separation was carried out from two coriander seed lots to obtain samples of 20 g each in three shades: yellowish, gray, and mixed. Images were acquired by the HP C4480 Scanner and processed in the MATLAB software; then, a histogram was constructed for each color analyzed in each sample by the RGB system. ANOVA tested the averages of the scales to ratify the difference in the components’ distributions. The germination test was performed to confirm the results of seed separation using image analysis. The best selection of coriander seeds was achieved by the blue scale, and the germination test indicated that yellow seeds have a higher physiological quality than brownish/greyish seeds.

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“…Mahajan et al (2018), avaliaram adequações de técnicas de imagem do tipo nãodestrutiva e sem contato, como imagem visível e por raio-X, em de testes de pureza física, viabilidade e vigor de sementes de soja. EMonteiro et al (2021), investigaram danos e tons de cores em sementes (esverdeadas) de soja via processamento de imagens.Um estudo com radiografia de sementes de espécies agrícolas foi invertigada porMedeiros et al, 2020b, através de uma ferramenta chamada IJCropSeed. Foi desenvolvida na linguagem macro do software ImageJ ® (SHNEIDER at al., 2012).…”

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