Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration

Tarpley, Lee; Reddy, K. R.; Sassenrath-Cole, Gretchen F.

doi:10.2135/cropsci2000.4061814x

Cited by 174 publications

(95 citation statements)

References 23 publications

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“…성을 분석하여 그에 따른 변량시비가 가능한 장점이 있다 (Redelfs et al, 1987;Wiegand et al, 1990Wiegand et al, , 1991Wiegand et al, , 1992Daughtry et al, 1992;Yoder et al, 1995;Cater et al, 2001Cater et al, , 2002Lihong et al, 2004 (Pinter et al, 1985;Tarpley et al, 2000;Rundquist et al, 2004 평가하였다 (Varvel et al, 1997;Hussain et al, 2000). …”

Section: 지상원격탐사에 의한 식물체 검정은 조사 개체수를 전 포장으로 확대할 수 있기 때문에 실시간으로 공간적인 변이unclassified

Estimation of Nitrogen Uptake and Yield of Tobacco (Nicotiana tobacum L.) by Reflectance Indices of Ground-based Remote Sensors

Kang¹,

Kim²,

Hong³

2014

Korean Journal of Soil Science and Fertilizer

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Ground-based remote sensing can be used as one of the non-destructive, fast, and real-time diagnostic tools for predicting yield, biomass, and nitrogen stress during growing season. The objectives of this study were: 1) to assess biomass and nitrogen (N) status of tobacco (Nicotiana tabacum L.) plants under N stress using ground-based remote sensors; and 2) to evaluate the feasibility of spectral reflectance indices for estimating an application rate of N and predicting yield of tobacco. Dry weight (DW), N content, and N uptake at the 40th and 50th day after transplanting ( Relationship between N application rate and sufficiency index by GNDVI at 40th DAT.

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Section: 지상원격탐사에 의한 식물체 검정은 조사 개체수를 전 포장으로 확대할 수 있기 때문에 실시간으로 공간적인 변이unclassified

Estimation of Nitrogen Uptake and Yield of Tobacco (Nicotiana tobacum L.) by Reflectance Indices of Ground-based Remote Sensors

Kang¹,

Kim²,

Hong³

2014

Korean Journal of Soil Science and Fertilizer

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“…Sabe-se que a deficiência de N causa mudanças no comportamento espectral da radiação refletida pelas folhas das plantas, em virtude das alterações sofridas na falta do nutriente (Tarpley et al, 2000), sendo possível, através da mensuração dessas alterações, realizar a recomendação e aplicação da adubação nitrogenada de acordo com a real demanda das culturas, fato que já vem ocorrendo em milho (Blackmer et al, 1996;Teal et al, 2006), trigo (Stone et al, 1996;Raun et al, 2002;Wright et al, 2004;Povh et al, 2008;Grohs et al, 2009), algodão (Sui et al, 2005;Motomiya et al, 2009), cevada (Kim et al, 2005;Povh et al, 2008;Grohs et al, 2009) e citros (Min & Lee, 2005), entre outras.…”

Section: Introductionunclassified

Capacidade de um sensor ótico em quantificar a resposta da cana-de-açúcar a doses de nitrogênio

Molin

Frasson²,

Amaral

et al. 2010

Rev. bras. eng. agríc. ambient.

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RESUMOTécnicas 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.Palavras-chave: agricultura de precisão, sensoriamento remoto, NDVI Capability of an optical sensor in verifying the sugarcane response to nitrogen rates 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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“…However, for large-scale estimates of crop performance, simulation models serve as an efficient tool, the use of which is primarily limited because of the lack of spatial input data pertaining to plant/crop nutrition. Diagnostic methods like remote sensing techniques that take advantage of the optical properties of leaves are another possibility to assess the nitrogen status of plants especially at larger spatial scales (Tarpley et al 2000, Osborne et al 2002, Wright et al 2004, Xue et al 2004. Remote sensing could provide inexpensive large area estimates of crop growth condition and can be used to monitor nutrient and other stresses, utilizing the information contained in the spectral reflectance data they measure.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of different indices derived from spectral reflectance of wheat for nitrogen stress detection

Govind

Bhavanarayana

Kumari

et al. 2005

Journal of Plant Interactions

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The productivity of cereal crops is mainly related to their nitrogen status. It is hypothesized that the spectral reflectance data could be used to predict wheat nitrogen status with spectral indices and that their performance depends on the nature of the interaction of the solar radiation with the crop canopy. A wheat crop was raised with 12 levels of nitrogen treatments: 0, 15, 30, 40, 50, 60, 70, 80, 90, 100, 110, and 120 kg ha(1 , with uniform phosphorous and potassium nutrition and uniform water and management practice. The spectral reflectance measurements of the crop canopy were taken at 5 nm intervals, throughout the crop growth period. Different spectral indices, both broadband (ratio as well as orthogonal) and hyperspectral indices were computed throughout the growing season. Canopy Colour Difference ( D E), an index developed from the entire visible region and hence broader than the spectral indices developed hitherto, was also estimated from the reflectance data. Simple linear relationships developed between spectral indices versus applied nitrogen levels as well as the plant nitrogen content revealed that the hyperspectral indices are less sensitive in comparison to broadband indices. The result was reinforced by a higher correlation between the colour difference, NDVI and Greenness Index with plant nitrogen level/content, as opposed to hyperspectral indices.

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Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration

Cited by 174 publications

References 23 publications

Estimation of Nitrogen Uptake and Yield of Tobacco (Nicotiana tobacum L.) by Reflectance Indices of Ground-based Remote Sensors

Estimation of Nitrogen Uptake and Yield of Tobacco (Nicotiana tobacum L.) by Reflectance Indices of Ground-based Remote Sensors

Capacidade de um sensor ótico em quantificar a resposta da cana-de-açúcar a doses de nitrogênio

Efficacy of different indices derived from spectral reflectance of wheat for nitrogen stress detection

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