Variações espectrais em solos submetidos à aplicação de torta de filtro

Demattê, José Alexandre Melo; Silva, Maria Lígia de Souza; Rocha, Gabriel Cipriano; Carvalho, Laércio Alves de; Formaggio, Antônio Roberto; Firme, Lúcia Pittol

doi:10.1590/s0100-06832005000300001

Cited by 17 publications

(15 citation statements)

References 16 publications

(12 reference statements)

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“…Dentro do nível terrestre, por exemplo, 33% das publicações estiveram voltadas para estudos como a discriminação de deficiência de nitrogênio em feijoeiros (BAESSO et al, 2007), em trigo (SENA JÚNIOR et al, 2008), em algodoeiro (MOTOMYA et al, 2009) etc; enquanto que outros 33% procuraram discriminar as variações espaciais e temporais das propriedades físicas e químicas do solo. Outros trabalhos de importância na área que afirmam esses resultado foram desenvolvidos por Demattê et al (2005) e Fiorio et al (2010).…”

Section: Tabela 4 Resultado Do Cadastro Temático Indicando O Número unclassified

Use of Remote Sensing in Precision Agriculture: A Bibliometric Analysis

Ferreira

Luiz

2014

Nucleus

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RESUMO:Este estudo teve por objetivo analisar a produção científica sobre a utilização do sensoriamento remoto na agricultura de precisão, desenvolvida por autores vinculados a instituições brasileiras, com base numa ampla compilação de artigos científicos. Adotou-se como metodologia de pesquisa a análise bibliométrica e, a partir dela, relacionaram-se os resultados obtidos às dimensões espacial, temporal, institucional e temática da pesquisa brasileira nesta área. Os resultados evidenciam que, apesar de recente, o sensoriamento remoto vem contribuindo para o manejo da agricultura a sítio específico, estando à produção científica concentrada, principalmente, nas instituições das regiões Sudeste e Sul do Brasil. A maior freqüência de uso dessa geotecnologia tem ocorrido no nível terrestre, o que permite o aprimoramento e lançamento de novos sistemas sensores comerciais. Verificou-se que as diferenças nas abordagens variam em função das técnicas empregadas. Enquanto que no sensoriamento remoto terrestre o enfoque está na caracterização do comportamento espectral de solos e de plantas, no sensoriamento remoto orbital a contribuição está nas estimativas de variações espaciais e/ou temporais de áreas cultivadas e de produtividades, condições importantes para a previsão de safras agrícolas. Palavras-chave: Sensor. Manejo localizado. Análise documentária USE OF REMOTE SENSING IN PRECISION AGRICULTURE:A BIBLIOMETRIC ANALYSIS SUMMARY: This study aimed to examine the scientific literature on the use of remote sensing in precision agriculture that was developed by authors from institutions in Brazil, based on an extensive compilation of published scientific articles on the topic. It was adopted as a research methodology the bibliometric analysis, and from it, the results were related to the spatial, temporal, institutional and thematic dimensions of Brazilian research in this area. The survey results show that, although recent, remote sensing has been contributing to the management of the sitespecific farming, with the scientific production concentrated mainly in the institutions of the Southeast and South regions of Brazil. The highest frequency of geotechnology use occurs at the ground level of remote sensing, allowing the improvement and introduction of new sensor systems business. Moreover, it was found that the differences in approaches or research questions vary depending on the techniques used. While in the terrestrial remote sensing the approach is to characterize the spectral behavior of soils and plants, in orbital remote sensing, the contribution is focused on the estimation of cultivated areas and productivity, important conditions for the crops yields predicting.

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Section: Tabela 4 Resultado Do Cadastro Temático Indicando O Número unclassified

Use of Remote Sensing in Precision Agriculture: A Bibliometric Analysis

Ferreira

Luiz

2014

Nucleus

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“…In addition to the use of different equipments, the main divergence lies in the selection of the bands used to develop the models and the soils data analyzed [52]. Instead of using 22 bands, Demattê et al [57] used 11 bands to evaluate spectral curves of three different soils amended with organic residues derived from the cane sugar industry, with the use of FieldSpec sensor. The accuracy of the stepwise analysis was also measured by the root mean squared error of prediction (RMSE) ( Table 5).…”

Section: Sand Siltmentioning

confidence: 99%

Variation of Routine Soil Analysis When Compared with Hyperspectral Narrow Band Sensing Method

2010

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Abstract:The objectives of this research were to: (i) develop hyperspectral narrow-band models to determine soil variables such as organic matter content (OM), sum of cations (SC = Ca + Mg + K), aluminum saturation (m%), cations saturation (V%), cations exchangeable capacity (CEC), silt, sand and clay content using visible-near infrared (Vis-NIR) diffuse reflectance spectra; (ii) compare the variations of the chemical and the spectroradiometric soil analysis (Vis-NIR). The study area is located in Sã o Paulo State, Brazil. The soils were sampled over an area of 473 ha divided into grids (100 × 100 m) with a total of 948 soil samples georeferenced. The laboratory RS data were obtained using an IRIS (Infrared Intelligent Spectroradiometer) sensor (400-2,500 nm) with a 2-nm spectral resolution between 450 and 1,000 nm and 4-nm between 1,000 and 2,500 nm. Satellite reflectance values were sampled from corrected Landsat Thematic Mapper (TM) images. Each pixel in the image was evaluated as its vegetation index, color compositions and soil line concepts regarding certain locations of the field in the image. Chemical and physical analysis (organic matter content, sand, silt, clay, sum of cations, cations saturation, aluminum saturation and cations exchange capacity) were performed in the laboratory. Statistical analysis and multiple regression equations for soil attribute predictions using radiometric data were developed. Laboratory data used 22 bands and 13 -Reflectance Inflexion Differences, RID‖ from different wavelength intervals of the optical spectrum. However, for TM-Landsat six bands were used in analysis (1, 2, 3, 4, 5, and 7). OPEN ACCESSRemote Sensing 2010, 2 1999Estimations of some tropical soil attributes were possible using laboratory spectral analysis. Laboratory spectral reflectance (SR) presented high correlations with traditional laboratory analyses for the soil attributes such as clay (R 2 = 0.84, RMSE = 3.75) and sand (R 2 = 0.85, RMSE = 3.74). The most sensitive narrow-bands in modeling (using 474 observations) these attributes were B8 (1,350-1,417 nm), B10 (1,417-1,449 nm), B11 (1,449-1,793 nm), B15 (1,927-2,102 nm), B16 (2,101-2,139 nm), and B17 (2,139-2,206 nm); B7 (975-1,350 nm), B10, B11, B16, B19 (2,206-2,258 nm) and B21 (2,258-2,389 nm) for clay and sand, respectively. The bands selected to model sand and clay, by orbital data, were 3, 5 and 7 of TM-Landsat-5 and 2, 5 and 7 sand and clay, respectively. The use of soil analysis methodology by ground remote sensing constitutes an alternative to traditional routine laboratory analysis.

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“…Besides sugar and alcohol, these units also produce an important amount of residues. Among the residues, the filter cake has an important role due to its nutrient composition (Demattê et al, 2005) and high organic matter content, around 48% (Meunchang et al, 2005). These characteristics place the filter cake as a possible source of plant growth promoting substances.…”

Section: Introductionmentioning

confidence: 99%

Humic substances isolated from residues of sugar cane industry as root growth promoter

Busato¹,

Zandonadi²,

Dobbss³

et al. 2010

Sci. agric. (Piracicaba, Braz.)

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Plant growth promoting substances are widely used in modern agriculture. Several products in the market are humic substances isolated from different sources. The filter cake, a residue of sugar production, is a rich and renewable source of organic matter and these characteristics place the filter cake as a possible source of plant growth promoting substances. Humic acids (HA) from filter cake were characterized, and their effects as root growth promoters were evaluated. Chemical features of the HA were evaluated through elemental composition, acidic functional groups, E 4 /E 6 ratio and infrared spectroscopy analyzes. The biological activity of the HA was assessed using root architecture parameters and the P-type H + -ATPase activity. The lateral root development was directly related to the stimulation of plasma membrane ATPase activity. The ability of HA to promote root development indicate that HA from filter cake can be used as environmental plant growth stimulators. Key words: H + -ATPase, Brazil, industrial residues, physiological effects, bioactivity Substâncias húmicas isoladas de resíduos da indústria da cana-de-açúcar como promotoras de crescimento radicularRESUMO: Substâncias promotoras do crescimento vegetal são amplamente utilizadas na agricultura moderna. Existem vários produtos no mercado, muitos dos quais são substâncias húmicas isoladas de diferentes fontes. A torta de filtro, um resíduo da produção do açúcar, é uma fonte rica e renovável de matéria orgânica e essas características a tornam uma possível fonte de substâncias promotoras do crescimento vegetal. Ácidos húmicos (AH) da torta de filtro foram caracterizados, e foi avaliado seu efeito como promotor de crescimento radicular. As características químicas dos AH foram avaliadas por meio da composição elementar, grupos funcionais ácidos, relação E 4 /E 6 e espectroscopia de infravermelho. A atividade biológica dos AH foi acessada avaliando-se a arquitetura radicular e a atividade da H + -ATPase de membrana plasmática. O desenvolvimento de raízes laterais foi diretamente relacionado ao estímulo da atividade da H + -ATPase. A habilidade dos AH em promover o desenvolvimento radicular indica que AH extraídos da torta de filtro podem ser utilizados como estimuladores do crescimento de plantas.

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Variações espectrais em solos submetidos à aplicação de torta de filtro

Cited by 17 publications

References 16 publications

Use of Remote Sensing in Precision Agriculture: A Bibliometric Analysis

Use of Remote Sensing in Precision Agriculture: A Bibliometric Analysis

Variation of Routine Soil Analysis When Compared with Hyperspectral Narrow Band Sensing Method

Humic substances isolated from residues of sugar cane industry as root growth promoter

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