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Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29) Bertolla, Alex Bisetto; Cruvinel, Paulo Estevão; https://lattes.cnpq.br/7924553462118511; https://lattes.cnpq.br/8131290455815693
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such control occurs mainly through the use of capture traps. This makes the diagnosis of infestations of this pest inefficient and can cause significant damage to production, as well as in general some additional use of pesticides. The objective of this research is to use image and signal processing techniques to establish a method for recognizing the Fall Armyworm (Spodoptera frugperda) pattern in maize culture, allowing its early, reliable and supervised recognition, which improves the state of art of controller procedments in order to obtain an automatized process. Image aquisition, image enhancement, segmentation, features extraction, the use of Principal Components Analisys (PCA) and superviosioned classification techniques were considered for the method development. For image aquisition, it has been used an online image data base. For image enhancement, Gaussiam and Non-Local Means filters were experimented for noise reduction. Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) were measured for filters avaliation. For semgmentation process, thresholding with seed pixels were experimented on HSV and CIE L*a*b* color spaces. In order to automatize, Otsu technique was applied in the process of image segmentation. For feature extraction, Histogram of Orientation Gradient (HOG) and invariants moments of Hu were experimentd, in order to obtain texture and geometric information, respectively, as well as, for feature vector dimensionality reduction Princial Components Analisys (PCA) were experimented. For pattern classification of Fall Armyworm (Spodoptera frugperda) a set of classifiers based on Support Verctor Machine (SVM) was established. The developed method has shown to be suitable for Fall Armyworm (Spodoptera frugperda) pattern classification, wich has contributed to the porpouse of decision making for pest identification and control on maize culture. The method has also contributed to the evolution of digital image processing techniques and analisys tools.
Esperança, espiritualidade e resiliência de familiares no contexto da dependência de substâncias psicoativas: estudo correlacional
(Universidade Federal de São Carlos, 2021-12-29) Lima, Nathalya Ferreira; Zerbetto, Sonia Regina; https://lattes.cnpq.br/1282433435871232; https://lattes.cnpq.br/8511690557145711
The family that experiences the context of chemical dependency suffers negative impacts on their functionality. In the process of facing this adverse situation, family members of drug users seek resources to maintain hope in the drug user relative's recovery process through spirituality. This study analyzed the relationship between hope, spirituality and resilience of family members of psychoactive substance users undergoing treatment or not. The research method consists of a correlational, cross-sectional study with a quantitative approach, with a sample of eighty-one family members of psychoactive substance users undergoing treatment or not in Primary and Specialized Care services in a city in the interior of the State of São Paulo. The data collection instruments consisted of the Herth Hope Scale, the Pinto and Pais-Ribeiro Spirituality Scale and the Wagnil and Young Resilience Scale. The analysis was performed using descriptive and inferential statistics. This study was approved by the Ethics Committee for Research with Human Beings at UFSCar, under opinion n.2,878,696, on 06/06/2018. Due to the COVID-19 pandemic, the project needed to be amended, and was sent to the Ethics Committee for Research with Human Beings at UFSCar, for continuation of the research by electronic/virtual means, according to Ordinance GR No. 4380, of 20/03/ 2020, which provides for the extension of suspension of classes, curricular activities and temporary measures, aiming to reduce personal exposure and face-to-face interactions between members of the UFSCar community. The results confirmed the hypotheses of the present study, that is, that there is a positive correlation between the strengths of hope and spirituality, and the higher these strengths, the greater the resilience of this family member. There were no significant differences regarding the correlation between hope, spirituality and resilience in the results of family members of different ages and sex, as well as whether the user of psychoactive substances would undergo any treatment or not, and regarding their consumption. Regarding these strengths in family members who participate or not in a family group, there was also no significant difference in the results. Conclusion: all forces had good results, that is, family members of psychoactive substance users have good hope, good spirituality and good resilience.