Design of a hyperspectral nitrogen sensing system for orange leaves

Min, Min; Lee, Won Suk; Burks, Thomas F.; Jordan, Jonathan D.; Schumann, Arnold W.; Schueller, John K.; Xie, Huikai

doi:10.1016/j.compag.2008.03.004

Cited by 34 publications

(19 citation statements)

References 12 publications

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“…Beyond predicting water and chlorophyll contents, it is also possible to identify composition of single seeds [10], differences and similarities between plants of same species [11], nutritional levels of plants [12], senescence stages in flowers [13], soil properties related to mineral deficiency in plants [14], and bruises caused by impact or mechanical damage in fruits [15] based on spectral measurements.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Photosynthetic Pigment and Water Contents in Intact Sunflower Plants from Spectral Indices

2017

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Under water-limited conditions, monitoring water and chlorophyll status is essential to avoid restrictions in crop growth and yield. This study was carried out to assess water and chlorophyll contents from spectral indices in sunflower plants. The hybrid Sunbright Supreme was cultivated inside a non-acclimatized greenhouse until the start of the flowering stage, and later was maintained in a growth chamber with the purpose of submitting the plants to a slow and progressive dehydration rate for 12 consecutive days. Spectral (reflectance and transmittance), leaf masses (fresh and dry), and total chlorophyll measurements were accomplished in sunflower plants. The water stress caused a reduction in the water and chlorophyll contents, resulting in linear and nonlinear decreases for the spectral indicators Water Index (WI) and Chlorophyll Content Index (CCI), respectively. The low scattering of the average values around the fitted models indicates that WI and CCI were effective in representing changes in water and chlorophyll status for sunflowers (R 2 = 0.912 and R 2 = 0.905). The benefits of using hand-held optical meters for reflectance and transmittance are that they enable rapid, accurate, and nondestructive assessments of water and chlorophyll contents in sunflower plants from radiometric indicators.

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Section: Introductionmentioning

confidence: 99%

Assessment of Photosynthetic Pigment and Water Contents in Intact Sunflower Plants from Spectral Indices

2017

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“…Min and Lee (2005) investigated reflectance characteristics of citrus leaves of varying nitrogen (N) concentrations, and identified important wavelengths (448,669,719,1,377,1,773, and 2,231 nm) for N detection using stepwise multiple linear regression (SMLR) and partial least squares (PLS) regression. Further Min et al (2008) developed a portable hyperspectral sensing system in 620-950 nm and 1,400-2,500 nm to measure citrus nitrogen concentration using detector arrays, linear variable filters, a halogen light, and data acquisition cards. The sensor system had good linearity and stability, and was able to estimate citrus N content with a root mean square difference (RMSD) of 1.69 g/kg.…”

Section: Nutrient Status Monitoringmentioning

confidence: 99%

Plant Health Detection and Monitoring

Lee

2015

Food Engineering Series

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“…Filters pass selected wavelengths of re fl ect light from the leaf surface to the actual sensor. The wavelengths are often chosen for those that are sensitive to known leaf and nutrient properties, in this case, leaf chlorophyll and proteins, which relates well to N (Min et al 2008 ) . The sensor was measuring re fl ected light from 620 to 950 nm and 1,400-2,500 nm with a resolution of less than 30 nm.…”

Section: Sensorsmentioning

confidence: 99%

Leaf Analysis in Citrus: Developments in Analytical Techniques

Hanlon

Morgan

Obreza

et al. 2012

Advances in Citrus Nutrition

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The complexity and sophistication of instruments for plant tissue analysis continues to advance, both in research laboratory grade instruments as well as for fi eld use. These advances are seen in direct measurement of nutrients and trace elements, as well as indirect measurement, especially as statistical approaches improve through modeling of relationships between direct and indirect methods. This chapter has given an overview of recent advances, often using review articles followed by selected applications to citrus leaf analysis, but also offering other venues for using these analytical tools to aid both research and precision citrus management.

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Design of a hyperspectral nitrogen sensing system for orange leaves

Cited by 34 publications

References 12 publications

Assessment of Photosynthetic Pigment and Water Contents in Intact Sunflower Plants from Spectral Indices

Assessment of Photosynthetic Pigment and Water Contents in Intact Sunflower Plants from Spectral Indices

Plant Health Detection and Monitoring

Leaf Analysis in Citrus: Developments in Analytical Techniques

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