Relevant bibliographies by topics / Laser-Induced Chlorophyll Fluorescence

Academic literature on the topic 'Laser-Induced Chlorophyll Fluorescence'

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Published: 25 May 2024

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Journal articles on the topic "Laser-Induced Chlorophyll Fluorescence"

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Wan Wen-Bo, Hua Deng-Xin, Le Jing, Liu Mei-Xia, and Cao Ning. "Laser-induced chlorophyll fluorescence lifetime measurement and characteristic analysis." Acta Physica Sinica 62, no. 19 (2013): 190601. http://dx.doi.org/10.7498/aps.62.190601.

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Rosema, A., J. F. H. Snel, H. Zahn, W. F. Buurmeijer, and L. W. A. Van Hove. "The Relation between Laser-Induced Chlorophyll Fluorescence and Photosynthesis." Remote Sensing of Environment 65, no. 2 (August 1998): 143–54. http://dx.doi.org/10.1016/s0034-4257(98)00020-0.

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Bunkin, Alexey F., Sergey M. Pershin, Diana G. Artemova, Sergey V. Gudkov, Alexey V. Gomankov, Pavel A. Sdvizhenskii, Mikhail Ya Grishin, and Vasily N. Lednev. "Fossil Plant Remains Diagnostics by Laser-Induced Fluorescence and Raman Spectroscopies." Photonics 10, no. 1 (December 24, 2022): 15. http://dx.doi.org/10.3390/photonics10010015.

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Fossilized plant remains have been studied simultaneously by laser induced fluorescence and Raman spectroscopies, to reveal the prospective methods for onsite or/and laser remote sensing in future extraterrestrial missions. A multiwavelength instrument, capable of fluorescence and Raman measurements, has been utilized for the study of isolated plant fossils, as well as fossils associated with sedimentary rocks. Laser-induced fluorescence spectroscopy revealed that plant fossils and rocks’ luminosity differed significantly due to chlorophyll derivatives (chlorin, porphyrins, lignin components etc.); therefore, fossilized plants can be easily detected at rock surfaces onsite. Raman spectroscopy highly altered the fossilized graphitic material via the carbon D and G bands. Our results demonstrated that combined laser-induced fluorescence and Raman spectroscopy measurements can provide new insights into the detection of samples with biogenicity indicators such as chlorophyll and its derivatives, as well as kerogenous materials. The prospects of multiwavelength LIDAR instrument studies under fieldwork conditions are discussed for fossils diagnostics. The method of laser remote sensing can be useful in geological exploration in the search for oil, coal-bearing rocks, and rocks with a high content of organic matter.
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ZORO-DIAMA, Emma Georgina, Adama Penetjiligue SORO, Kedro Siriki DIOMANDE, Kouadio DIAN, Amara KAMATE, and Adjo Viviane ADOHI-KROU. "Water Deficiency Detection of Hevea brasiliensis Clones by Laser Induced Fluorescence." Applied Physics Research 9, no. 5 (August 22, 2017): 36. http://dx.doi.org/10.5539/apr.v9n5p36.

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Water is the key nutritional element for the optimal development of plants. A water deficiency leads to lower crop productivity. As the health status of a plant influences the photosynthesis process, a photosynthetic diagnosis of a plant can be carried by laser induced chlorophyll fluorescence, a reliable and fast method that is non-destructive to the sample. In this study, we show that it is possible to detect the water deficiency of rubber tree hevea brasiliensis from the chlorophyll fluorescence ratio. The fluorescence ratio used in this study is called the effective ratio and it corresponds to the both fluorescence peaks ratio. We noticed that the water deficient plants fluorescence ratios were higher than those of normally watered plants. Moreover, the stressed plants' ratios are greater than a threshold value which depends on the duration of water deprivation application.
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Saleem, M., Babar Manzoor Atta, Zulfiqar Ali, and M. Bilal. "Laser-induced fluorescence spectroscopy for early disease detection in grapefruit plants." Photochemical & Photobiological Sciences 19, no. 5 (2020): 713–21. http://dx.doi.org/10.1039/c9pp00368a.

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WAN Wen-bo, 万文博, and 苏俊宏 SU Jun-hong. "Laser-induced Plant Chlorophyll Fluorescence Lifetime and Spectral Properties Analysis." ACTA PHOTONICA SINICA 47, no. 6 (2018): 630001. http://dx.doi.org/10.3788/gzxb20184706.0630001.

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Kiewnick, Sebastian, Walter Kühbauch, Astrid Schmitz, Iryna Tartachnyk, and Richard Sikora. "Detection of Heterodera schachtii infestation in sugar beet by means of laser-induced and pulse amplitude modulated chlorophyll fluorescence." Nematology 8, no. 2 (2006): 273–86. http://dx.doi.org/10.1163/156854106777998755.

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AbstractTwo glasshouse experiments with sugar beet cvs Penta and Macarena inoculated, respectively, with 0 or 1500 and 0, 500, 1000 or 1500 juveniles of Heterodera schachtii, were conducted to estimate the capability of laser-induced chlorophyll fluorescence (LIF) and pulse amplitude modulated (PAM) chlorophyll fluorescence techniques to detect H. schachtii infestation and to differentiate between infestation levels. Fluorescence and gas exchange parameters, nitrogen and chlorophyll content of sugar beet leaves were measured weekly after nematode inoculation. Sugar beet plants responded to H. schachtii infestation initially with a decrease in photosynthesis rate and later with a reduction in nitrogen uptake and chlorophyll concentration. At the early stages of nematode infestation, before visual symptoms were evident, infested sugar beet plants displayed increased fluorescence (F680, F740). Later stages of infection were accompanied by an increase in the F686/F740 ratio, ground fluorescence (Fo) and a decrease in photochemical efficiency (Fv/Fm) induced by degradation of leaf chlorophyll. Sugar beet plants infested with 500, 1000 or 1500 juveniles per 100 cm3 of soil did not differ either in their nitrogen and chlorophyll content or in photosynthesis and transpiration rate. The linear discrimination analysis based on the combination of PAM and LIF parameters resulted in 100% correct classification of control plants and high classification rates (60-100%) of the infested treatments on all the sampling dates. Whether the fluorescence technique will differentiate nematode densities under field conditions needs further study.
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Pandey, Jitendra Kumar, and R. Gopal. "Laser-induced chlorophyll fluorescence and reflectance spectroscopy of cadmium treatedTriticum aestivumL. plants." Spectroscopy 26, no. 2 (2011): 129–39. http://dx.doi.org/10.1155/2011/640232.

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The present study deals with laser-induced chlorophyll fluorescence (LICF) spectra, reflectance spectra and fluorescence induction kinetics (FIK) curves ofTriticum aestivumL. plants treated with different concentrations of cadmium (0.01, 0.1 and 1.0 mM). LICF spectra were recorded in the region of 650–780 nm using violet diode laser (405 nm) and FIK curves were recorded at 685 and 730 nm using red diode laser (635 nm) for excitation. Reflectance spectra were recorded in the region of 400–800 nm using spectrophotometer with an integrating sphere. The fluorescence intensity ratios (FIR) were determined from LICF spectra, vitality index (Rfd) from FIK curves and narrow band vegetation index (NBVI) from reflectance spectra. These parameters along with plant growth parameters and photosynthetic pigment contents were used to analyze the effect of cadmium on wheat plants. The results clearly show that lower concentration of Cd (0.01 mM) shows stimulatory response; whereas higher concentrations (0.1 and 1.0 Mm) are hazardous for plant growth, photosynthetic pigments and photosynthetic activity of wheat plants.
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Pingree, R. D., and R. P. Harris. "An in vivo fluorescence response in the Bay of Biscay in June." Journal of the Marine Biological Association of the United Kingdom 68, no. 3 (August 1988): 519–29. http://dx.doi.org/10.1017/s002531540004337x.

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CONCLUSION AND SUMMARYSurface fluorescence measurements in June in the Bay of Biscay showed little correlation with chlorophyll a measurements due to the presence of a marked diurnal fluorescence rhythm although satisfactory correlations have been obtained at other times of year in the same region (see Fig. 10 of Pingree et al. 1982). By contrast, the beam attenuation coefficient values showed a good correlation with the chlorophyll a measurements and can be used to map the sea surface distribution of chlorophyll a when the diurnal rhythm is present, particularly when the phytoplankton is dominated by a single species. This conclusion may be of considerable practical significance when contemplating synoptic surveys in such situations. As Prezlin & Ley (1980) have observed there is growing awareness that fluorescence per unit chlorophyll a is not a constant that can be used reliably in mixed phytoplankton biomass estimates based on in vivo chlorophyll a fluorescence, and the problem is clearly compounded if some species exhibit a marked diurnal fluorescence rhythm. Furthermore, the present observations support the caveats of Falkowski & Kiefer (1985), that in situ moored fluorometers, the use of air-borne laser-induced fluorescence, or satellite-received passive, solar-induced fluorescence, only measure fluorescence, not chlorophyll per se.The fluorescence response near the shelf-break over a 24 h period following a drogued dahn buoy showed a variation of about a factor of 5 between the day and night fluorescence levels. Beam attenuation coefficient measurements and Coulter Counter analyses showed that these results could not be attributed to the migration of the phytoplankton.
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Sailaja, M. V., Y. Chandrasekhar, D. Narayana Rao, and V. S. Rama Das. "Laser-induced Chlorophyll Fluorescence Ratio in Certain Plants Exhibiting Leaf Heliotropism." Functional Plant Biology 24, no. 2 (1997): 159. http://dx.doi.org/10.1071/pp96027.

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Laser-induced F685/F720 chlorophyll fluorescence of intact leaves in solar tracking plants from Euphorbiaceae (Ricinus communis L.), Amaranthaceae (Amaranthus gangeticus L., Amaranthus viridis L.), Malvaceae (Hibiscus cannabinus L., Althaea rosea L.), Fabaceae (Dolichos lablab L.) Capparadaceae (Cleome gynandra L.) exhibited remarkable diurnal constancy in contrast to those of compass plants from Poaceae (Oryza sativa L.) and Amaranthaceae (Telanthera ficoides Moq.) with fixed leaf orientation. The F685/F720 ratio remained constant in both the diaheliotropic and paraheliotropic plants, but it decreased during midday in compass plants. The acquired spectra were analysed in terms of Gaussian parameters to determine the relative intensity of contribution of various bands; the data suggested a decrease in both the F685 and the F720 bands at 1230 h in compass plants while they remained unaltered in reorienting leaves. The typical midday depression in F685/F720 ratio observed in compass plants may be due to down-regulation of both photosystems, I and II. This unique behaviour of diurnal constancy in laser-induced F685/F720 suggests that the leaves of diaheliotropic plants maximise light-use efficiency throughout the day and avoid the hazard of midday depression of photosynthesis.
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Dissertations / Theses on the topic "Laser-Induced Chlorophyll Fluorescence"

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Balde, Hamadou. "Remote sensing of laser- and sun-induced chlorophyll fluorescence for studying water and carbon functioning in terrestrial ecosystems." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS674.pdf.

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La fluorescence chlorophyllienne induite par le soleil (SIF) est désormais utilisée comme outil pour suivre la production primaire brute (GPP) du couvert végétal de différents écosystèmes. La SIF est importante pour comprendre le cycle global du carbone dans un contexte de changements climatiques. Cependant, l’usage de la SIF pour suivre les variations de la GPP est entravée par des facteurs confondants (propriétés biochimiques des feuilles, facteurs abiotiques, etc.). Dans cette thèse, on propose d’utiliser des observations à plusieurs échelles [satellitaires (TROPOMI et MODIS) et au sol] de la SIF, de réflectance, de la GPP et du rendement de la fluorescence chlorophyllienne par mesure active (FyieldLIF), utile pour observer les variations physiologiques de la végétation, afin d’abord 1) d’évaluer la force des liens GPP-SIF et de prédire la GPP à l’aide de mesures spatiales ; ensuite, 2) d’examiner les liens FyieldLIF-SIFy (SIF normalisé par le rayonnement photosynthétiquement actif, PAR) et les effets de structure du couvert végétal sur la SIF; et enfin 3) d’explorer l’influence de la structure de la canopée et des facteurs abiotiques sur les variations de la SIF et de la GPP et sur leurs liens. On constate que la force et la nature des liens GPP-TROPOMI SIF sur 40 sites de tours à flux dépendent du site et du type de végétation, reflétant l’hétérogénéité spatiale et temporelle de la couverture végétale du pixel TROPOMI. En outre, les mesures satellitaires de la SIF et de la réflectance prédisent plus de 80 % des variations de la GPP. Toutefois, on remarque que les réflectances à différentes bandes prises ensemble prédisent mieux la GPP que TROPOMI SIF, mais l’importance relative montre que la SIF est la variable la plus importante pour prédire la GPP (SIF plus les indices de végétation (VIs) comme variables explicatives). Ce résultat soutient qu’à des échelles spatiales larges la réflectance pourrait être utilisée pour estimer la GPP et que l’usage de la SIF comme proxy de la GPP soulève la question de savoir si l’information physiologique liée à la photosynthèse issue de la SIF pourrait être détectée à cette échelle. Par ailleurs, à partir de mesures au sol effectuées à Fontainebleau-Barbeau, on montre que FyieldLIF n’est pas corrélé avec SIFy à l’échelle diurne à cause des effets de géométrie d’éclairement. On constate aussi que les dynamiques diurnes de la SIF et du PAR décorrèlent lors des jours de ciel clair, montrant les effets de l’ombre sur la SIF. On montre aussi que la SIF et la réflectance peuvent être utilisées pour prédire FyieldLIF, tandis Φk (SIFy/FyieldLIF) (indicateur de l’interaction structure-éclairement) est corrélé à la réflectance et à la géométrie de la canopée. On souligne que les liens GPP-SIF et leurs variations dépendent de l’échelle temporelle considérée. Particulièrement, à l’échelle saisonnière, on observe que les variations de GPP, SIF, SIFy et FyieldLIF répondent au développement structurel et biochimique des canopées, ainsi qu’aux facteurs abiotiques. Lors des vaques de chaleurs, on constate que la SIF et les VIs (NDVI, NIRv et mNDI) d’une part et la SIF et le PAR d’autre part ne sont pas corrélés, tandis que GPP, SIF et FyieldLIF diminuent fortement. Ceci indique que SIF et FyieldLIF peuvent être utilisés pour suivre la photosynthèse du couvert en conditions de stress alors que les VIs ne peuvent pas. Cette réponse spécifique de la SIF et FyieldLIF comparée aux VIs souligne l’intérêt croissant de l’usage de la SIF comme proxy de la GPP dans des conditions climatiques changeantes. Toutefois, à l’échelle diurne, les interactions entre structure de la canopée et géometrie d’éclairement contrôlent les variations de la SIF, de la GPP et de la relation GPP-SIF. On recommande l’usage de la synergie réflectance-SIF et des mesures actives pour mieux comprendre les variations de la SIF et son lien avec la GPP sur d’autres types de couverts végétaux
Sun-Induced chlorophyll Fluorescence (SIF) is used as a tool to monitor Gross Primary Production (GPP) across different ecosystems. SIF is important to understand the global carbon cycle under changing climate conditions. However, the use of SIF to probe variations in GPP is challenged by confounding factors (canopy biochemical properties, abiotic factors, etc.). In this thesis, we proposed to use multiple scale measurements (spaceborne with the TROPOMI and MODIS sensors, and ground-based) of SIF, reflectance, GPP, and active chlorophyll fluorescence yield (FyieldLIF), useful to observe the physiological variations of the vegetation. In order, first, to evaluate the strength and the nature of the relationship between GP-SIF and to predict GPP using remote sensing metrics; second, to examine the relationship between FyieldLIF and SIFy (SIF normalized by the photosynthetically active radiation, PAR) and the effects of canopy structure and sun-canopy geometry on SIF signal, and third, to explore the influence of canopy structure, light intensity and abiotic factors on SIF and GPP variations and on their links. We found that the strength and the nature of the links between GPP and TROPOMI SIF, across forty flux sites, depend on sites and vegetation types. Further, combined use of SIF and reflectance from satellite observations predicted over 80% of GPP variations. However, we observed that daily surface reflectance at different bands when taken as a whole outperformed daily TROPOMI SIF in predicting GPP, but the relative importance of variables in the random forest model using SIF and VIs (NDVI, PRI and NIRv) as inputs to predict GPP shows that SIF is the most important variable for predicting GPP. This result indicates that at a broad spatial scale, reflectances could be used to predict GPP and the use of SIF as a proxy of GPP raises the question of whether the physiological information related to photosynthesis contained in SIF could be detected at this scale. Based on top-of-canopy measurements in Fontainebleau-Barbeau, we show that active FyieldLIF was not correlated with passive SIFy at the diurnal timescale due to sun-canopy geometry effects. We also observed that the diurnal patterns in SIF and PAR did not match under clear sky conditions, underlining the effects of shadows on the measured canopy SIF. We also showed that the SIF and the reflectance can be used to predict FyieldLIF, while Φk =SIFy/FyieldLIF (an indicator of the interaction between canopy structure and irradiance geometry) is strongly correlated with reflectance and sun-canopy geometry. The analyses show that the links between GPP and SIF and their variations, resulting from ground-based measurements, depend on the temporal scale considered. More specifically, at the seasonal scale, we observed that variations in GPP, SIF, SIFy and FyieldLIF respond to the structural and biochemical development of canopies and to variations in abiotic factors, especially during the heatwaves in 2022. During these extreme weather conditions, we observed that, on one hand, SIF and VIs (NDVI, NIRv and mNDI), and on the other hand, SIF and PAR are not correlated, while GPP, SIF and FyieldLIF strongly decreased. This indicates that SIF and FyieldLIF can be used to monitor impact on photosynthetic activity under stress conditions, while VIs cannot. This specific response of SIF and FyieldLIF compared to VIs highlights the growing interest in the use of SIF as a proxy of GPP under changing climate conditions. However, at the diurnal scale, the interactions between canopy structure and sun geometry, as well as the light intensity control the variations in SIF and GPP and their links. We strongly recommend the use of the synergy between reflectance, SIF and active fluorescence measurements to better understand the dynamics of SIF and its link to GPP in other vegetation types at the canopy scale
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Bredemeier, Christian [Verfasser]. "Laser-induced chlorophyll fluorescence sensing as a tool for site-specific nitrogen fertilization – evaluation under controlled environmental and field conditions in wheat and maize / Christian Bredemeier." Aachen : Shaker, 2005. http://d-nb.info/1181614112/34.

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Books on the topic "Laser-Induced Chlorophyll Fluorescence"

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Cottone, Mary C. Coral pigments: Quantification using HPLC and detection by romote sensing. 1995.

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Coral pigments: Quantification using HPLC and detection by remote sensing : a thesis ... [Washington, DC: National Aeronautics and Space Administration, 1995.

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Book chapters on the topic "Laser-Induced Chlorophyll Fluorescence"

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Pieruschka, Roland, Denis Klimov, Joseph A. Berry, C. Barry Osmond, Uwe Rascher, and Zbigniew S. Kolber. "Remote Chlorophyll Fluorescence Measurements with the Laser-Induced Fluorescence Transient Approach." In Methods in Molecular Biology, 51–59. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-995-2_5.

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Bredemeier, C., and U. Schmidhalter. "Laser-induced chlorophyll fluorescence to determine the nitrogen status of plants." In Plant Nutrition, 726–27. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/0-306-47624-x_352.

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Takahash, Kunio, and Yasufumi Emori. "Measurement of Chlorophyll Distribution in a Leaf by Laser Induced Fluorescence." In Optics and Lasers in Biomedicine and Culture, 344–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-56965-4_68.

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Kocsanyi, László, Michael Haitz, and Hartmut K. Lichtenthaler. "Measurement of the Laser-Induced Chlorophyll Fluorescence Kinetics Using a Fast Acoustooptic Device." In Applications of Chlorophyll Fluorescence in Photosynthesis Research, Stress Physiology, Hydrobiology and Remote Sensing, 99–107. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2823-7_12.

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Ruth, B. "Laser Induced Chlorophyll Fluorescence Induction Kinetics as a Tool for the Determination of Herbicide Action in Algae." In Laser in der Umweltmeßtechnik / Laser in Remote Sensing, 95–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-08252-2_17.

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Morales, F., R. Belkhodja, Y. Goulas, J. Abadía, and I. Moya. "Photosynthetic Induction In Iron-Deficient Sugar Beet Leaves: A Time-Resolved, Laser-Induced Chlorophyll Fluorescence Study." In Photosynthesis: Mechanisms and Effects, 4309–12. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-3953-3_996.

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HOGE, F. E., and R. N. SWIFT. "Airborne Mapping of Laser-Induced Fluorescence of Chlorophyll a and Phycoerythrin in a Gulf Stream Warm Core Ring." In Mapping Strategies in Chemical Oceanography, 353–72. Washington, D.C.: American Chemical Society, 1985. http://dx.doi.org/10.1021/ba-1985-0209.ch018.

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Schächtl, J., F. X. Maidl, G. Huber, and E. Sticksel. "The potential for LASER-induced chlorophyll fluorescence measurements in wheat." In Precision agriculture, 609–14. Brill | Wageningen Academic, 2003. http://dx.doi.org/10.3920/9789086865147_093.

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S., Artur, Elias Arcanjo da Silva-Jr, Patricia C., Ronaldo A., Luciana M. H. Silva, Ernande B. da Costa, Terezinha J. R. Camara, and Lilia G. "Abiotic Stress Diagnosis via Laser Induced Chlorophyll Fluorescence Analysis in Plants for Biofuel." In Biofuel Production-Recent Developments and Prospects. InTech, 2011. http://dx.doi.org/10.5772/16595.

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Limbrunner, B., and F. X. Maidl. "Non-contact measurement of the actual nitrogen status of winter wheat canopies by laser-induced chlorophyll fluorescence." In Precision agriculture '07, 173–79. Brill | Wageningen Academic, 2007. http://dx.doi.org/10.3920/9789086866038_020.

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Conference papers on the topic "Laser-Induced Chlorophyll Fluorescence"

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Li, Zhengzhi, Jianzhong Wu, Yongan Tang, and Zhiwei Tian. "Laser-induced fluorescence spectra of tea and bamboo leaves." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/oam.1993.mr.6.

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Liu, Qing-kui, Xiao-long S. Li, Fei Yu, Yong-hua Chen, Jing-bo Jiang, Yan He, and Wei-biao Chen. "Nonlinear changes of chlorophyll-a fluorescence with laser induced saturation." In Optical Sensing and Imaging Technology and Applications, edited by Yadong Jiang, Haimei Gong, Weibiao Chen, and Jin Li. SPIE, 2017. http://dx.doi.org/10.1117/12.2283458.

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Pascu, Mihail-Lucian, N. Moise, and S. Hogiu. "Laser-induced fluorescence studies on collagen, cholesterol, and chlorophyll a." In BiOS Europe '95, edited by Rinaldo Cubeddu, Serge R. Mordon, and Katarina Svanberg. SPIE, 1995. http://dx.doi.org/10.1117/12.228895.

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Kharchenko, Olga V., Anatolii I. Grishin, Gennadii G. Matvienko, Oleg A. Romanovskii, Albina P. Zotikova, and Nina A. Vorobyeva. "Chlorophyll content research using spectroscopic and laser-induced fluorescence techniques." In Eighth Joint International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, edited by Gelii A. Zherebtsov, Gennadii G. Matvienko, Viktor A. Banakh, and Vladimir V. Koshelev. SPIE, 2002. http://dx.doi.org/10.1117/12.458478.

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Pascu, Mihail-Lucian, N. Moise, and S. Hogiu. "Laser-induced fluorescence studies on collagen, cholesterol, and chlorophyll a." In BiOS Europe '97, edited by Tiina I. Karu and Anthony R. Young. SPIE, 1996. http://dx.doi.org/10.1117/12.230035.

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Wenbo, Wan, Hua Dengxin, Le Jing, and Liu Meixia. "Laser induced chlorophyll fluorescence lifetime measurement and characteristic analysis for plant drought-stress." In 2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2013. http://dx.doi.org/10.1109/icemi.2013.6743149.

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Salyuk, Pavel A., and Egor L. Podoprigora. "Comparative analysis of the chlorophyll A concentrations obtained by the laser-induced fluorescence method (LIF) and SeaWiFS." In International Conference on Lasers, Applications, and Technologies 2002 Laser Applications in Medicine, Biology, and Environmental Science, edited by Gerhard Mueller, Valery V. Tuchin, Gennadii G. Matvienko, Christian Werner, and Vladislav Y. Panchenko. SPIE, 2003. http://dx.doi.org/10.1117/12.518685.

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Banninger, Cliff, and Guido Schmuck. "Laser-induced chlorophyll fluorescence induction kinetics of metal-stressed and nonstressed Norway spruce needles for forest damage assessment." In Environmental Sensing '92, edited by Richard J. Becherer and Christian Werner. SPIE, 1992. http://dx.doi.org/10.1117/12.138547.

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Gouveia-Neto, Artur S., Elias A. Silva, Jr., Ernande B. Costa, Luciano A. Bueno, Luciana M. H. Silva, Manuela M. C. Granja, Maria J. L. Medeiros, Terezinha J. R. Câmara, and Lilia G. Willadino. "Plant abiotic stress diagnostic by laser induced chlorophyll fluorescence spectral analysis of in vivo leaf tissue of biofuel species." In BiOS, edited by Daniel L. Farkas, Dan V. Nicolau, and Robert C. Leif. SPIE, 2010. http://dx.doi.org/10.1117/12.839462.

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Finney, Lauren A., Nicholas Peskosky, Patrick J. Skrodzki, Milos Burger, John Nees, Karl Krushelnick, and Igor Jovanovic. "Filament-Induced Fluorescence of Algae for Remote Contamination Monitoring." In CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_at.2022.am5m.5.

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Abstract:
We demonstrate that ultrafast laser filaments can excite chlorophyll fluorescence in green algae and show that it is a promising technique for remote detection of uranium exposure from the shape of the fluorescence time profile.
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