As florestas plantadas contribuem para o desenvolvimento econômico, social e ambiental brasileiro, e o setor florestal busca plantios cada vez mais produtivos e melhor aproveitados. A tecnologia a laser aerotransportada (ALS - Airborne Laser Scanning), capaz de gerar informações tridimensionais precisas em extensas áreas e em pequeno intervalo de tempo, tem se destacado nas aplicações florestais, sendo utilizada na quantificação e caracterização de florestas. Neste estudo foram utilizados dados ALS obtidos em dois sobrevoos (2013 e 2014), cobrindo uma área de plantio do gênero Eucalyptus com diferentes clones e idades, localizada no estado de São Paulo. Esta dissertação é dividida em três partes. A primeira buscou avaliar a combinação de métricas ALS e de dupla amostragem nas estimativas de volume e na redução da intensidade amostral, comparando seus resultados aos de métodos amostrais tradicionais. Os resultados mostraram que a dupla amostragem obteve o menor erro de amostragem dentre os delineamentos, permitindo a redução do esforço amostral. A segunda parte visou caracterizar as diferenças estruturais existentes entre clones de eucalipto, com diferentes idades, a partir de métricas ALS e perfis de altura do dossel (CHP). O estudo mostrou que é possível distinguir a estrutura do dossel dos clones, o que pode contribuir com melhorias nas estimativas e no gerenciamento dos plantios comerciais. Na última parte, foram avaliados dois algoritmos de detecção de árvores individuais quanto à quantificação dos indivíduos e os efeitos da composição (tamanho de célula e filtragem) do modelo digital de alturas (CHM) no desempenho desses algoritmos. Verificou-se que as características do CHM influenciam na detecção. A estratégia com melhor desempenho resultou em um erro médio relativo de 11% no número de indivíduos. / Planted forests contribute to the economic, social and environmental development of Brazil, and the forest industry aims to increase productivity and the efficient use of these plantations. Airborne Laser Scanning (ALS) technology, capable of generating accurate three-dimensional information, covering large areas in a short time, has highlighted potential in forestry applications and has been applied in forests quantification and characterization. In this study, ALS data were obtained from two flights (2013 and 2014), covering a Eucalyptus plantation area with different clones and ages, in the state of São Paulo. This thesis comprises three parts. The first study aimed to evaluate the combination of ALS metrics and double sampling design for volume estimates and reducing sampling intensity, comparing the results to traditional sampling methods. Results showed that the double sampling had the lowest error from the designs, allowing the reduction of the sampling effort. The second part was proposed to characterize the structural differences between Eucalyptus clones with different ages, based on metrics ALS and canopy height profiles (CHP). The study showed that it is possible to distinguish the canopy structure of the clones, which can contribute to improvements in estimates and management of commercial plantations. In the last study, two individual tree detection algorithms were evaluated for quantification of individuals, and the effect of the canopy height model (CHM) composition at the performance of these algorithms was analyzed. It was found that the CHM characteristics influence the tree detection. The strategy with better performance resulted in an average relative error of 11% in number of trees.

Métodos de identificação de pessoas sempre foram muito importantes para toda a sociedade. Atualmente, as pesquisas em biometria vêm sendo amplamente incentivadas por diversos setores da indústria mundial com o objetivo de melhorar ou substituir os atuais sistemas de segurança e de identificação de pessoas. O campo da biometria abarca uma grande variedade de tecnologias usadas para identificar e verificar a identidade de uma pessoa por meio da mensuração e análise de diversas características físicas e/ou comportamentais do ser humano. Diversas modalidades biométricas têm sido propostas para reconhecimento de pessoas, como impressão digital, íris, face e fala. Estas modalidades biométricas possuem características distintas em termos de desempenho, mensurabilidade e aceitabilidade. Uma questão a ser considerada com a aplicação biométrica é sua robustez a ataques por circunvenção, repetição e ofuscação. Esses ataques estão se tornando cada vez mais frequentes e questionamentos estão sendo levantados a respeito dos níveis de segurança das formas de reconhecimento. Sinais biomédicos como eletrocardiograma (ECG), eletroencefalograma (EEG) e eletromiograma (EMG) têm sido cada vez mais estudados e aplicados ao reconhecimento biométrico. Em específico, os sinais de ECG têm sido largamente adotados para o reconhecimento biométrico em diversos trabalhos. Por outro lado, análise de séries temporais tem sido usada com sucesso em muitas diferentes aplicações para identificar padrões temporais nos dados. Embora dinâmica simples possa ser observada com ferramentas analíticas tradicionais tais como transformada de fourier, transformada wavelet, a representação simbólica pode melhorar a análise de processos que são complexos e possivelmente caótico. Além disso, representação simbólica pode também reduzir a sensibilidade a ruído e melhorar bastante a eficiência computacional. No entanto, existem aspectos estruturais e paramétricos de projeto que podem conduzir a uma degradação de desempenho. Na ausência de uma metodologia sistemática e de baixo custo para a proposição de técnicas de representação simbólicas otimamente especificadas, os comitês de máquinas, mais especificamente ensemble, se apresentam como alternativas promissoras. Neste estudo, os componentes do ensemble, que correspondem as técnicas de representação simbólicas, e seus respectivos parâmetros foram selecionados via algoritmos evolutivos. O objetivo é explorar conjuntamente potencialidades advindas das técnicas de representação simbólicas e comitê de máquinas para reconhecimento biométrico baseado em sinais de ECG. Resultados experimentais conduzidos sobre dois conjuntos de dados disponíveis publicamente indicam que a abordagem proposta pode melhorar o desempenho do reconhecimento quando comparada com as técnicas tradicionais / Identification people methods have been very important for the whole society. Currently, research on biometrics have been widely encouraged by various sectors of the industry worldwide in order to improve or replace existing security systems and people identification. The field of biometrics includes a variety of technologies used to identify or verify the identity of a person by measuring and analyzing various physical and/or behavioral aspects of the human being. Several biometric methods have been proposed for recognition of people, such as fingerprint, iris, face and speech. These biometric modalities have different characteristics in terms of performance, measurability and acceptability. One issue to be considered with the biometric application in the real world is its robustness to attacks by circumvention, repetition and obfuscation. These attacks are becoming more frequent and more questions are being raised about the levels of security that this technology can offer. Biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG) and electromyogram (EMG) have been increasingly studied and applied to biometric recognition. Specifically, ECG signals have been widely adopted for biometric recognition in various works. On the other hand, time series analysis has been used successfully in many different applications to identify temporal patterns in the data. Although simple dynamics can be observed with traditional analytical tools such as fourier transform, wavelet transform, the symbolic representation can improve the analysis of processes that are complex and possibly chaotic. In addition, symbolic representation can also reduce noise sensitivity and greatly improve computational efficiency. However, there are structural and parametric design aspects that can lead to performance degradation. In the absence of a systematic and inexpensive methodology for proposing optimally specified symbolic representation techniques, machine committees, more specifically ensemble, present themselves as promising alternatives. In this study, the components of the committee, which correspond to techniques of symbolic representation, and their respective parameters were selected via evolutionary algorithms. The objective is to jointly explore the potentialities of both symbolic representation techniques and machine committee for biometric recognition based on ECG signals. Experimental results conducted on two publicly available datasets indicate that the proposed approach may improve recognition performance when compared to traditional techniques

O campo da Biometria abarca uma grande variedade de tecnologias usadas para identificar e verificar a identidade de uma pessoa por meio da mensuração e análise de vários aspectos físicos e/ou comportamentais do ser humano. Diversas modalidades biométricas têm sido propostas para reconhecimento de pessoas, como impressões digitais, íris, face e voz. Estas modalidades biométricas possuem características distintas em termos de desempenho, mensurabilidade e aceitabilidade. Uma questão a ser considerada com a aplicação de sistemas biométricos em mundo real é sua robustez a ataques por circunvenção, repetição e ofuscação. Esses ataques estão se tornando cada vez mais frequentes e questionamentos estão sendo levantados a respeito dos níveis de segurança que esta tecnologia pode oferecer. Recentemente, sinais biomédicos, como eletrocardiograma (ECG), eletroencefalograma (EEG) e eletromiograma (EMG) têm sido estudados para uso em problemas envolvendo reconhecimento biométrico. A formação do sinal do ECG é uma função da anatomia estrutural e funcional do coração e dos seus tecidos circundantes. Portanto, o ECG de um indivíduo exibe padrão cardíaco único e não pode ser facilmente forjado ou duplicado, o que tem motivado a sua utilização em sistemas de identificação. Entretanto, a quantidade de características que podem ser extraídas destes sinais é muito grande. A seleção de característica tem se tornado o foco de muitas pesquisas em áreas em que bases de dados formadas por dezenas ou centenas de milhares de características estão disponíveis. Seleção de característica ajuda na compreensão dos dados, reduzindo o custo computacional, reduzindo o efeito da maldição da dimensionalidade e melhorando o desempenho do preditor. O foco da seleção de característica é selecionar um subconjunto de característica a partir dos dados de entrada, que pode descrever de forma eficiente os dados de entrada ao mesmo tempo reduzir os efeitos de ruídos ou características irrelevantes e ainda proporcionar bons resultados de predição. O objetivo desta dissertação é analisar o impacto de algumas técnicas de seleção de característica tais como, Busca Gulosa, Seleção \\textit, Algoritmo Genético, Algoritmo Memético, Otimização por Enxame de Partículas sobre o desempenho alcançado pelos sistemas biométricos baseado em ECG. Os classificadores utilizados foram $k$-Vizinhos mais Próximos, Máquinas de Vetores Suporte, Floresta de Caminhos Ótimos e classificador baseado em distância mínima. Os resultados demonstram que existe um subconjunto de características extraídas do sinal de ECG capaz de fornecer altas taxas de reconhecimento / The field of biometrics includes a variety of technologies used to identify and verify the identity of a person by measuring and analyzing various physical and/or behavioral aspects of the human being. Several biometric modalities have been proposed for recognition of people, such as fingerprints, iris, face and speech. These biometric modalities have distinct characteristics in terms of performance, measurability and acceptability. One issue to be considered with the application of biometric systems in real world is its robustness to attacks by circumvention, spoof and obfuscation. These attacks are becoming more frequent and more questions are being raised about the levels of security that this technology can offer. Recently, biomedical signals, as electrocardiogram (ECG), electroencephalogram (EEG) and electromyogram (EMG) have been studied for use in problems involving biometric recognition. The ECG signal formation is a function of structural and functional anatomy of the heart and its surrounding tissues. Therefore, the ECG of an individual exhibits unique cardiac pattern and cannot be easily forged or duplicated, that have motivated its use in various identification systems. However, the amount of features that can be extracted from this signal is very large. The feature selection has become the focus of much research in areas where databases formed by tens or hundreds of thousands of features are available. Feature Selection helps in understanding data, reducing computation requirement, reducing the effect of curse of dimensionality and improving the predictor performance. The focus of feature selection is to select a subset of features from the input which can efficiently describe the input data while reducing effects from noise or irrelevant features and still provide good prediction results. The aim of this dissertation is to analyze the impact of some feature selection techniques, such as, greedy search, Backward Selection, Genetic Algorithm, Memetic Algorithm, Particle Swarm Optimization on the performance achieved by biometric systems based on ECG. The classifiers used were $k$-Nearest Neighbors, Support Vector Machines, Optimum-Path Forest and minimum distance classifier. The results demonstrate that there is a subset of features extracted from the ECG signal capable of providing high recognition rates

Dans cette thèse, nous avons adapté trois versions d'une chaine d'algorithmes de reconnaissance biométrique par l’iris appelés OSIRIS V2, V3, V4 qui correspondent à différentes implémentations de l’approche de J. Daugman pour les besoins d’une implémentation logicielle / matérielle. Les résultats expérimentaux sur la base de données ICE2005 montrent que OSIRIS_V4 est le système le plus fiable alors qu’OSIRIS_V2 est le plus rapide. Nous avons proposé une mesure de qualité de l’image segmentée pour optimiser en terme de compromis coût / performance un système de référence basé sur OSIRIS V2 et V4. Nous nous sommes ensuite intéressés à l’implémentation de ces algorithmes sur des plateformes reconfigurables. Les résultats expérimentaux montrent que l’implémentation matériel / logiciel est plus rapide que l’implémentation purement logicielle. Nous proposons aussi une nouvelle méthode pour le partitionnement matériel / logiciel de l’application. Nous avons utilisé la programmation linéaire pour trouver la partition optimale pour les différentes tâches prenant en compte les trois contraintes : la surface occupée, le temps d’exécution et la consommation d’énergie / In this thesis, we adapted three versions of a chain of algorithms for biometric iris recognition called OSIRIS V2, V3, V4, which correspond to different implementations of J. Daugman approach. The experimental results on the database ICE2005 show that OSIRIS_V4 is the most reliable when OSIRIS_V2 is the fastest. We proposed a measure of quality of the segmented image in order to optimize in terms of cost / performance compromise a reference system based on OSIRIS V2 and V4. We focused on the implementation of these algorithms on reconfigurable platforms. The experimental results show that the hardware / software implementation is faster than the software implementation. We propose a new method for partitioning hardware / software application. We used linear programming to find the optimal partition for different tasks taking into account the three constraints : the occupied area, execution time and energy consumption

Identity verification systems are an important part of our every day life. A typical example is the Automatic Teller Machine (ATM) which employs a simple identity verification scheme: the user is asked to enter their secret password after inserting their ATM card; if the password matches the one prescribed to the card, the user is allowed access to their bank account. This scheme suffers from a major drawback: only the validity of the combination of a certain possession (the ATM card) and certain knowledge (the password) is verified. The ATM card can be lost or stolen, and the password can be compromised. Thus new verification methods have emerged, where the password has either been replaced by, or used in addition to, biometrics such as the person’s speech, face image or fingerprints. Apart from the ATM example described above, biometrics can be applied to other areas, such as telephone & internet based banking, airline reservations & check-in, as well as forensic work and law enforcement applications. Biometric systems based on face images and/or speech signals have been shown to be quite effective. However, their performance easily degrades in the presence of a mismatch between training and testing conditions. For speech based systems this is usually in the form of channel distortion and/or ambient noise; for face based systems it can be in the form of a change in the illumination direction. A system which uses more than one biometric at the same time is known as a multi-modal verification system; it is often comprised of several modality experts and a decision stage. Since a multi-modal system uses complimentary discriminative information, lower error rates can be achieved; moreover, such a system can also be more robust, since the contribution of the modality affected by environmental conditions can be decreased. This thesis makes several contributions aimed at increasing the robustness of single- and multi-modal verification systems. Some of the major contributions are listed below. The robustness of a speech based system to ambient noise is increased by using Maximum Auto-Correlation Value (MACV) features, which utilize information from the source part of the speech signal. A new facial feature extraction technique is proposed (termed DCT-mod2), which utilizes polynomial coefficients derived from 2D Discrete Cosine Transform (DCT) coefficients of spatially neighbouring blocks. The DCT-mod2 features are shown to be robust to an illumination direction change as well as being over 80 times quicker to compute than 2D Gabor wavelet derived features. The fragility of Principal Component Analysis (PCA) derived features to an illumination direction change is solved by introducing a pre-processing step utilizing the DCT-mod2 feature extraction. We show that the enhanced PCA technique retains all the positive aspects of traditional PCA (that is, robustness to compression artefacts and white Gaussian noise) while also being robust to the illumination direction change. Several new methods, for use in fusion of speech and face information under noisy conditions, are proposed; these include a weight adjustment procedure, which explicitly measures the quality of the speech signal, and a decision stage comprised of a structurally noise resistant piece-wise linear classifier, which attempts to minimize the effects of noisy conditions via structural constraints on the decision boundary.

<p>Verification of users’ identities are normally carried out via PIN-codes or ID- cards. Biometric identification, identification of unique body features, offers an alternative solution to these methods. </p><p>Fingerprint scanning is the most common biometric identification method used today. It uses a simple and quick method of identification and has therefore been favored instead of other biometric identification methods such as retina scan or signature verification. </p><p>In this report biometric security systems have been evaluated based on fingerprint scanners. The evaluation method focuses on copies of real fingers, artificial fingers, as intrusion method but it also mentions currently used algorithms for identification and strengths and weaknesses in hardware solutions used. </p><p>The artificial fingers used in the evaluation were made of gelatin, as it resembles the surface of human skin in ways of moisture, electric resistance and texture. Artificial fingers were based on ten subjects whose real fingers and artificial counterpart were tested on three different fingerprint scanners. All scanners tested accepted artificial fingers as substitutes for real fingers. Results varied between users and scanners but the artificial fingers were accepted between about one forth and half of the times. </p><p>Techniques used in image enhancement, minutiae analysis and pattern matching are analyzed. Normalization, binarization, quality markup and low pass filtering are described within image enhancement. In minutiae analysis connectivity numbers, point identification and skeletonization (thinning algorithms) are analyzed. Within pattern matching, direction field analysis and principal component analysis are described. Finally combinations of both minutiae analysis and pattern matching, hybrid models, are mentioned. </p><p>Based on experiments made and analysis of used techniques a recommendation for future use and development of fingerprint scanners is made.</p>

2012 – 2013 metais Aleksandro Stulginskio Universiteto Pomologiniame sode, esančiame Kauno rajone, Ringaudų kaime, buvo vykdomi dviejų krypčių lauko bandymai: 1. Obelų vegetatyvinių poskiepių augimo dinamikos ir produktyvumo tyrimai; 2. Obelų vegetatyvinių poskiepių įtakos pirmamečių skiepų augimo dinamikai tyrimai. Obelų vegetatyvinių poskiepių augimo dinamikos ir produktyvumo tyrimai buvo atliekami poskiepių motininėje plantacijoje, siekiant įvertinti keleto M, MM ir B tipų poskiepių augimo dėsningumus vegetacijos metu, produktyvumą ir kokybinius rodiklius. Bandymas vykdytas 6 variantais, 3 pakartojimais. Pakartojimai išdėstyti sisteminiu būdu. Bandymas buvo išdėstytas tokia tvarka: 1 poskiepis – M.9 – 3 pakartojimai; 2 poskiepis – B.140 – 3 pakartojimai; 3 poskiepis – M.4 – 3 pakartojimai; 4 poskiepis – B.9 – 3 pakartojimai; 5 poskiepis – B.134 – 3 pakartojimai; 6 poskiepis – MM.106 – 3 pakartojimai. Obelų vegetatyvinių poskiepių įtakos pirmamečių skiepų augimo dinamikai tyrimai buvo atliekami ASU Pomologinio sodo medelyne. Šio bandymo tikslas buvo įvertinti, kaip skirtingų tipų poskiepiai įtakoja 'Auksio' ir 'Florina' obelaičių skiepų augimą bei kokybinius rodiklius. Bandymas vykdytas 6 variantais, 3 pakartojimais. Pakartojimai išdėstyti sisteminiu būdu. Bandymas išdėstytas tokia tvarka: 1 variantas 'Auksis'/B.396 – 3 pakartojimai; 'Florina'/B.396 – 3 pakartojimai. 2 variantas 'Auksis'/M.4 – 3 pakartojimai; 'Florina'/M.4 – 3... [toliau žr. visą tekstą] / The reaserch were carried out in periodo of 2012 – 2013 at the University of Aleksandras Stulginskis Pomology orchard in Ringaudai village, Kaunas destrict. The research were prosecuted in two directions: 1. Growth dynamics and productivity of apple trees vegetative rootstocks. 2. The influence of apple trees vegetative rootstocks to the firs year growth 'Auksis' and 'Florina' shoots. The aim of the first experiment was to investigate several M, MM and B groups rootstocks biometric parameters (height of shoots and diameter of stems), their productivity, quality index (leafs assimilation surface, leafs weight, count of leafs, count of roots, roots length). Treatment of the experiment: 1. Rootstock – M.9; 2. Rootstock – B.140; 3. Rootstock – M.4; 4. Rootstock – B.9; 5. Rootstock – B.134; 6. Rootstock – MM.106. The aim of the second experiment was to investigate biometric parameters (height of shoots, diameter of stems), quality index (leafs assimilation surface, weight of leafs) and quality of first year growth 'Auksis' and 'Florina' apple trees on different rootstocks. Treatmen of the experiment: 1. 'Auksis' – rootstock B.396; 'Florina' – rootstock B.396; 2. 'Auksis' – rootstock M.4;'Florina' – rootstock M.4; 3. 'Auksis' – rootstock MM.106;'Florina' – rootstock MM.106; 4. 'Auksis' – rootstock M.26;'Florina' – rootstock MM.106; 5. 'Auksis' – rootstock B.118;'Florina' – rootstock MM.106; 6. 'Auksis' – rootstock B.9;'Florina' – rootstock MM.106. It was determined that... [to full text]

Thesis (M.A. in Security Studies (Homeland Security and Defense))--Naval Postgraduate School, March 2010. / Thesis Advisor(s): Bergin, Richard ; Josefek, Robert. "March 2010." Description based on title screen as viewed on April 28, 2010. Author(s) subject terms: Arizona Criminal Justice Commission, biometrics technology, biometrics identification, facial recognition, fingerprint identification, law enforcement, information sharing, criminal information sharing, Arizona, Mexico, New Mexico, Texas, California, RISC, AFIS, IAFIS, NGI, governors border conferences, Central America, south west border initiative. Includes bibliographical references (p. 87-92). Also available in print.

Submitted by EDUARDO MACHADO SILVA (eduardodz@outlook.com) on 2018-06-02T22:50:24Z No. of bitstreams: 1 Eduardo_Final.pdf: 7020230 bytes, checksum: 17f5f419806417111d44cacbf46f3f0d (MD5) / Approved for entry into archive by Elza Mitiko Sato null (elzasato@ibilce.unesp.br) on 2018-06-04T16:05:04Z (GMT) No. of bitstreams: 1 silva_em_me_sjrp.pdf: 7020230 bytes, checksum: 17f5f419806417111d44cacbf46f3f0d (MD5) / Made available in DSpace on 2018-06-04T16:05:04Z (GMT). No. of bitstreams: 1 silva_em_me_sjrp.pdf: 7020230 bytes, checksum: 17f5f419806417111d44cacbf46f3f0d (MD5) Previous issue date: 2018-04-06 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / O Reconhecimento facial é uma das tecnologias biométricas mais utilizadas em sistemas automatizados que necessitam garantir a identidade de uma pessoa para acesso autorizado e monitoramento. A grande aceitação do uso da face tem várias vantagens sobre outras tecnologias biométricas: ela é natural, não exige equipamentos sofisticados, a aquisição de dados é baseada em abordagens não invasivas, e pode ser feito a distância, de maneira cooperativa ou não. Embora muitos estudos em reconhecimento facial tenham sido feitos, problemas com variação de iluminação, poses com oclusão facial, expressão facial e envelhecimento ainda são desafios, pois influenciam a performance dos sistemas de reconhecimento facial e motivam o desenvolvimento de novos sistemas de reconhecimento que lidam com esses problemas e sejam mais confiáveis. Este trabalho tem como objetivo avaliar a técnica de Padrões Localmente Mapeados em Multiescala (MSLMP) para o reconhecimento facial. Técnicas baseadas em algoritmos genéticos e processamento de imagens foram usadas para obter melhores resultados. Os resultados obtidos chegam a 100% de acurácia para alguns banco de dados. A base de dados MUCT ´e, em particular, bastante complexa, ela foi criada em 2010 com o objetivo de aumentar a quantidade de bancos de dados disponíveis com alta variação de iluminação, idade, posições e etnias, e por isso, ´e um banco de dados difícil quanto ao reconhecimento automático de faces. Uma nova técnica de processamento baseada na média dos níveis de cinza da base foi desenvolvida. / Facial recognition is one of the most used biometric technologies in automated systems which ensure a person’s identity for authorized access and monitoring. The acceptance of face use has several advantages over other biometric technologies: it is natural, it does not require sophisticated equipment, data acquisition is based on non-invasive approaches, and can it be done remotely, cooperatively or not. Although many facial recognition studies have been done, problems with light variation, facial occlusion, position, expression, and aging are still challenges, because they influence the performance of facial recognition systems and motivate the development of more reliable recognition systems that deal with these problems. This work aim to evaluate the Multi-scale Local Mapped Pattern (MSLMP) technique for the facial recognition. Techniques based on genetic algorithms and image processing were applied to increase the performance of the method. The obtained results reach up to 100% of accuracy for some databases. A very difficult database to deal is the MUCT database which was created in 2010 with aim of providing images with high variation of lighting, age, positions and ethnicities in the facial biometry literature, which makes it a highly difficult base in relation to automated recognition. A new processing technique was developed based on the average gray levels of the images of the database.

Submitted by Socorro Pontes (socorrop@ufersa.edu.br) on 2017-10-27T13:00:16Z No. of bitstreams: 1 SamuelMMM_TESE.pdf: 595119 bytes, checksum: bab3072258fc4909ad7b6a964f7989a5 (MD5) / Approved for entry into archive by Vanessa Christiane (referencia@ufersa.edu.br) on 2017-10-27T13:05:56Z (GMT) No. of bitstreams: 1 SamuelMMM_TESE.pdf: 595119 bytes, checksum: bab3072258fc4909ad7b6a964f7989a5 (MD5) / Approved for entry into archive by Vanessa Christiane (referencia@ufersa.edu.br) on 2017-10-27T13:09:36Z (GMT) No. of bitstreams: 1 SamuelMMM_TESE.pdf: 595119 bytes, checksum: bab3072258fc4909ad7b6a964f7989a5 (MD5) / Made available in DSpace on 2017-10-27T13:09:49Z (GMT). No. of bitstreams: 1 SamuelMMM_TESE.pdf: 595119 bytes, checksum: bab3072258fc4909ad7b6a964f7989a5 (MD5) Previous issue date: 2016-07-25 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The quality of agricultural soil is constantly influenced by natural causes and anthropic activity. Thereby, two studies were performed, the first with the objective of evaluating soil pH reaction with the use of sulfuric acid in irrigation water and the biological oxidation of sulfur. The second study aimed to evaluate dosages of phosphorus combined with use of acidifying products in the soil with cultivation of melon in a greenhouse to evaluate the growth and production variables. The study in the incubation condition occurred with three types of soils: Argissolo Vermelho "woods", Argissolo Vermelho "cultivated" and Cambissolo Háplico, five doses of sulfur (0, 25, 50, 100 and 200 kg ha-1) and three volumes of bacteria (1, 2 and 3 ml). Another soil incubation experiment, was carried out using five doses of sulfuric acid in the irrigation water (0, 30, 50, 70 and 90%) in the same soils of the sulfur incubation. Two soils were used in the greenhouse: Argissolo Vermelho "woods" and Cambissolo Háplico, four doses of phosphorus (0, 49.4, 77.9 and 106 kg ha-1 of P2O5) and three treatments for soil pH (no correction, sulfuric acid and sulfur plus A. thiooxidans). The incubation experiment showed that sulfur inoculated with the bacteria and the use of sulfuric acid were efficient in soil pH control. Among the evaluated soils, the Cambissolo Háplico presented lower variation in relation to Argissolo Vermelho. In both treatments there was increase in pH regarding to its initial value. The sulfur inoculated with the bacteria and the use of sulfuric acid are efficient in the control of the soil pH. The soil pH correction methods not affect the commercial production of the melon. In order to meet the commercial production of fruits it is recommended apply no control methods to correct soil pH, and the dose of 44.9 kg ha-1 of P2O5. Soils no recently cultivated and under the fertility conditions meet in this research, can be cultivated with melon irrigated without loss for growth and production, by a cycle. The soil pH control methods had no influence the biometric characteristics and production characteristics of both soils. The ideal phosphorus dose to meet growth and production conditions in the melon cultivation was 49.4 kg ha-1 of P2O5 jointly with no soil pH correction / A qualidade do solo agrícola é constantemente influenciada por causas naturais e pela atividade antrópica. Desse modo, foram realizados dois estudos, o primeiro com o objetivo de avaliar a reação de solos quanto ao pH com o uso de ácido sulfúrico na água de irrigação e a oxidação biológica do enxofre. O segundo estudo objetivou avaliar doses de fósforo combinado com o uso de produtos acidificantes no solo com o cultivo de meloeiro em casa de vegetação visando avaliar as variáveis de crescimento e de produção. O estudo na condição de incubação ocorreu com três tipos de solos: Argissolo Vermelho “mata”, Argissolo Vermelho “cultivado” e Cambissolo Háplico, cinco doses de enxofre (0, 25, 50, 100 e 200 kg ha-1) e três volumes de bactéria (1, 2 e 3 ml). Um outro experimento, também com incubação de solos, testou o uso de cinco doses de ácido sulfúrico na água de irrigação (0, 30, 50, 70 e 90%) nos mesmos solos da incubação com enxofre. Em casa de vegetação foram utilizados dois solos: Argissolo Vermelho “mata” e Cambissolo Háplico, quatro doses de fósforo (0, 49,4; 77,9 e 106 kg ha-1 de P2O5) e três manejos para o pH do solo (sem correção, ácido sulfúrico e enxofre mais A. thiooxidans). O enxofre inoculado com a bactéria e o uso de ácido sulfúrico foram eficientes para o controle do pH no solo incubado e ao final do cultivo. Os métodos de correção do pH do solo não afetam a produção comercial do meloeiro. Para atender a produção comercial dos frutos é recomendado o método sem correção do pH do solo e a dose de 44,9 kg ha-1de P2O5. Os solos não cultivados recentemente, e com as condições de fertilidade existentes nesta pesquisa, podem ser cultivados com meloeiro irrigado por um ciclo sem perdas para o crescimento e a produção dos frutos. Os métodos de controle do pH dos solos, com enxofre e com ácido, não diferem nos parâmetros de crescimento e produção, para ambos os solos. A combinação ideal para atender às condições de crescimento e produção no cultivo do meloeiro são 49,4 kg ha-1 de P2O5 juntamente com a não correção do pH do solo / 2017-10-19