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      Capacidade de um sensor ótico em quantificar a resposta da cana-de-açúcar a doses de nitrogênio Translated title: Capability of an optical sensor in verifying the sugarcane response to nitrogen rates

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          Abstract

          Técnicas de agricultura de precisão são alternativas para otimizar a utilização de insumos, dentre eles o nitrogênio. O presente trabalho teve como objetivo verificar a possibilidade de uso de um sensor ótico ativo comercial na cultura da cana-de-açúcar, verificando sua capacidade em identificar a resposta da cultura a diferentes doses de nitrogênio (N). Para tanto um experimento em blocos ao acaso foi instalado em área experimental de cana-de-açúcar de terceiro corte, colhida mecanicamente, com diferentes doses de N (0, 50, 100, 150 e 200 kg ha-1) e quatro repetições. Aos 30, 60 e 90 dias após o corte (DAC) realizou-se a mensuração do NDVI (índice de vegetação por diferença normalizada) a partir do sensor ótico. Não se obteve resposta do NDVI mensurado aos 30 e 60 DAC, porém aos 90 DAC se verificou que o sensor foi capaz de diferenciar as doses de N aplicadas, correlacionando-se positivamente com a produtividade final de colmos obtida. Este trabalho dá subsídios a trabalhos de mesma natureza que visem a gestão da adubação nitrogenada em cana-de-açúcar a partir de sensores óticos.

          Translated abstract

          Techniques of precision agriculture are alternatives to optimize the use of inputs, among them nitrogen. The present work had as its objective to verify the possibility of use of a commercial optical sensor in sugarcane, verifying its capability in identification of the crop response to different nitrogen (N) rates. An experiment was installed in randomized blocks in an experimental area with third sugarcane ratoon, harvested mechanically, with different N rates (0, 50, 100, 150 and 200 kg ha-1) and four repetitions. At 30, 60 and 90 days after the harvest (DAH) the measuring of NDVI (normalized difference vegetation index) was accomplished starting from the optical sensor. No response was verified of NDVI on measurements at the 30 and 60 DAH, however at 90 DAH the sensor was capable to differentiate the doses of applied N, positively correlated with the sugarcane final production. This work gives subsidies to studies of same nature that seek the management of the nitrogen fertilization in sugarcane using optical sensor.

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          Most cited references21

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            Reflectance and transmittance of light by leaves.

            J Woolley (1971)
            Spectrophotometric transmittance and reflectance curves were recorded for wavelengths from 0.45 (in some cases 0.34) to 2.7 micrometers for faces and backs of leaves and for stacked leaves of several plant species. Measurements were made at different angles of illumination. Leaf spectrophotometric curves were compared with curves for leaf extracts, potato tuber tissue, glass beads in water, and frozen leaves to demonstrate the physical bases for the leaf curves. Leaves were infiltrated with liquids of different refractive indices for further comparison of spectrophotometric curves. Goniophotometric reflectance curves were recorded, giving visible reflectance and degree of polarization as functions of viewing angle for two different angles of illumination.No retroreflection was observed, and no phenomena were observed which could be attributed to interference because of similarity between leaf structural sizes and wavelengths used.
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              Nitrogen Deficiency Detection Using Reflected Shortwave Radiation from Irrigated Corn Canopies

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                Author and article information

                Journal
                rbeaa
                Revista Brasileira de Engenharia Agrícola e Ambiental
                Rev. bras. eng. agríc. ambient.
                Departamento de Engenharia Agrícola - UFCG (Campina Grande, PB, Brazil )
                1415-4366
                1807-1929
                December 2010
                : 14
                : 12
                : 1345-1349
                Affiliations
                [02] orgnameUSP orgdiv1ESALQ
                [01] Piracicaba SP orgnameUSP orgdiv1ESALQ jpmolin@ 123456usp.br
                Article
                S1415-43662010001200014 S1415-4366(10)01401214
                10.1590/S1415-43662010001200014
                ad5383b1-1c34-4027-8aa5-ea0c3991eb71

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 11 May 2009
                : 17 September 2010
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 19, Pages: 5
                Product

                SciELO Brazil

                Categories
                Automação e Instrumentação

                sensoriamento remoto,NDVI,agricultura de precisão,remote sensing,precision agriculture

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