Ivan David Briceño-Pinzón, Raquel Maria de Oliveira Pires, Geraldo Andrade Carvalho, Flávia Barbosa Silva Botelho, Júlia Lima Baute, Marcela Carlota Nery
{"title":"利用放射影像分析确定水稻种子虫害的可能性","authors":"Ivan David Briceño-Pinzón, Raquel Maria de Oliveira Pires, Geraldo Andrade Carvalho, Flávia Barbosa Silva Botelho, Júlia Lima Baute, Marcela Carlota Nery","doi":"10.1007/s00521-024-10379-9","DOIUrl":null,"url":null,"abstract":"<p>The X-ray method, together with image analysis tools, has been used to evaluate the internal structures of seeds and correlate them with the physical, physiological and sanitary quality, providing significant and accurate results. The objective of this study was to analyze radiographic images of rice seeds infested by the rice weevil <i>Sitophilus oryzae</i> (Linnaeus, 1763) (Coleoptera: Curculionidae). Rice seed samples from three different cultivars were infested with <i>S. oryzae</i> for 90 days. Next, seed samples collected at random were analyzed by X-ray testing. The radiographic images were analyzed by ImageJ® software to extract color and shape features. Scanning electron microscopy analyses were also performed. The results showed that X-ray testing was effective in detecting infestation. The gray distribution histograms revealed differences between healthy seeds and those infested by adult insects or empty seeds, confirmed by the significant differences obtained for the area and relative and integrated density variables. The study demonstrated that the analysis of radiographic images can provide quantitative information on insect infestation of rice seeds, which is useful in the evaluation of seed quality and for detecting the presence of pests in rice seeds.</p>","PeriodicalId":18925,"journal":{"name":"Neural Computing and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potential analysis of radiographic images to determine infestation of rice seeds\",\"authors\":\"Ivan David Briceño-Pinzón, Raquel Maria de Oliveira Pires, Geraldo Andrade Carvalho, Flávia Barbosa Silva Botelho, Júlia Lima Baute, Marcela Carlota Nery\",\"doi\":\"10.1007/s00521-024-10379-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The X-ray method, together with image analysis tools, has been used to evaluate the internal structures of seeds and correlate them with the physical, physiological and sanitary quality, providing significant and accurate results. The objective of this study was to analyze radiographic images of rice seeds infested by the rice weevil <i>Sitophilus oryzae</i> (Linnaeus, 1763) (Coleoptera: Curculionidae). Rice seed samples from three different cultivars were infested with <i>S. oryzae</i> for 90 days. Next, seed samples collected at random were analyzed by X-ray testing. The radiographic images were analyzed by ImageJ® software to extract color and shape features. Scanning electron microscopy analyses were also performed. The results showed that X-ray testing was effective in detecting infestation. The gray distribution histograms revealed differences between healthy seeds and those infested by adult insects or empty seeds, confirmed by the significant differences obtained for the area and relative and integrated density variables. The study demonstrated that the analysis of radiographic images can provide quantitative information on insect infestation of rice seeds, which is useful in the evaluation of seed quality and for detecting the presence of pests in rice seeds.</p>\",\"PeriodicalId\":18925,\"journal\":{\"name\":\"Neural Computing and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neural Computing and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00521-024-10379-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00521-024-10379-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
X 射线方法和图像分析工具已被用于评估种子的内部结构,并将其与物理、生理和卫生质量联系起来,从而提供重要而准确的结果。本研究的目的是分析受稻象虫(Sitophilus oryzae,Linnaeus,1763)(鞘翅目:卷须科)侵染的水稻种子的射线图像。来自三个不同栽培品种的水稻种子样本被 S. oryzae 侵染了 90 天。然后,对随机采集的种子样本进行 X 射线检测分析。利用 ImageJ® 软件对射线图像进行分析,提取颜色和形状特征。同时还进行了扫描电子显微镜分析。结果表明,X 射线检测能有效发现虫害。灰色分布直方图显示了健康种子与受成虫侵染种子或空种子之间的差异,面积、相对密度和综合密度变量的显著差异也证实了这一点。该研究表明,射线图像分析可提供有关水稻种子虫害的定量信息,有助于评估种子质量和检测水稻种子中是否存在害虫。
Potential analysis of radiographic images to determine infestation of rice seeds
The X-ray method, together with image analysis tools, has been used to evaluate the internal structures of seeds and correlate them with the physical, physiological and sanitary quality, providing significant and accurate results. The objective of this study was to analyze radiographic images of rice seeds infested by the rice weevil Sitophilus oryzae (Linnaeus, 1763) (Coleoptera: Curculionidae). Rice seed samples from three different cultivars were infested with S. oryzae for 90 days. Next, seed samples collected at random were analyzed by X-ray testing. The radiographic images were analyzed by ImageJ® software to extract color and shape features. Scanning electron microscopy analyses were also performed. The results showed that X-ray testing was effective in detecting infestation. The gray distribution histograms revealed differences between healthy seeds and those infested by adult insects or empty seeds, confirmed by the significant differences obtained for the area and relative and integrated density variables. The study demonstrated that the analysis of radiographic images can provide quantitative information on insect infestation of rice seeds, which is useful in the evaluation of seed quality and for detecting the presence of pests in rice seeds.