Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0815002(2024)

Research and Development of Chlorophyll Fluorescence Meter with Broadband Excitation Function

Qian Xia1, Hao Tang1, Wei Ge1, Lijiang Fu1, Dezhi Tong2, and Ya Guo1、*
Author Affiliations
  • 1Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China
  • 2Chloview Science and Technology (Wuxi) Co., Ltd., Wuxi 214000, Jiangsu, China
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    References(21)

    [1] Tyystjärvi E, Vass I, Papageorgiou G C, Govindjee . Light emission as a probe of charge separation and recombination in the photosynthetic apparatus: relation of prompt fluorescence to delayed light emission and thermoluminescence[M]. Chlorophyll a fluorescence: a signature of photosynthesis. Advances in photosynthesis and respiration, 19, 363-388(2004).

    [2] Guo Y, Tan J L. Recent advances in the application of chlorophyll a fluorescence from photosystem II[J]. Photochemistry and Photobiology, 91, 1-14(2015).

    [3] Xia Q, Fu L J, Tang H et al. Sensing and classification of rice (Oryza sativa L.) drought stress levels based on chlorophyll fluorescence[J]. Photosynthetica, 60, 102-109(2022).

    [4] Suárez J C, Vanegas J I, Contreras A T et al. Chlorophyll fluorescence imaging as a tool for evaluating disease resistance of common bean lines in the western Amazon region of Colombia[J]. Plants, 11, 1371(2022).

    [5] Doğru A, Çakirlar H. Effects of leaf age on chlorophyll fluorescence and antioxidant enzymes activity in winter rapeseed leaves under cold acclimation conditions[J]. Brazilian Journal of Botany, 43, 11-20(2020).

    [6] Cheng W C, Li G N, Qiang S et al. Effects of GA·IAA·BR 0.136% wettable powder mixed with penoxsulam on the growth of Echinochloa crus-galli var. mitis and Oryza sativa[J]. Plant Protection, 48, 94-100, 105(2022).

    [7] Latifinia E, Eisvand H R. Soybean physiological properties and grain quality responses to nutrients, and predicting nutrient deficiency using chlorophyll fluorescence[J]. Journal of Soil Science and Plant Nutrition, 22, 1942-1954(2022).

    [8] Stefanov M A, Rashkov G D, Apostolova E L. Assessment of the photosynthetic apparatus functions by chlorophyll fluorescence and P700 absorbance in C3 and C4 plants under physiological conditions and under salt stress[J]. International Journal of Molecular Sciences, 23, 3768(2022).

    [9] Xia Q, Tan J L, Cheng S Y et al. Sensing plant physiology and environmental stress by automatically tracking Fj and Fi features in PSII chlorophyll fluorescence induction[J]. Photochemistry and Photobiology, 95, 1495-1503(2019).

    [10] Singh H, Kumar D, Soni V. Performance of chlorophyll a fluorescence parameters in Lemna minor under heavy metal stress induced by various concentration of copper[J]. Scientific Reports, 12, 1-14(2022).

    [11] Yu H X, Tian C Y, Jing Y F et al. Chlorophyll fluorescence characteristics on leaves of germplasm of Saccharum robustum 57NG208 F1 generation[J]. Journal of Southwest Agriculture, 36, 515-521(2023).

    [12] Burns J K, Sagaram M. Leaf chlorophyll fluorescence parameters and huanglongbing[J]. Journal of the American Society for Horticultural Science, 134, 194-201(2009).

    [13] Ranjbarfordoei A, Samson R, van Damme P. Chlorophyll fluorescence performance of sweet almond[Prunus dulcis (Miller) D. Webb]in response to salinity stress induced by NaCl[J]. Photosynthetica, 44, 513-522(2006).

    [14] Jafarinia M, Shariati M. Effects of salt stress on photosystem ii of canola plant (Barassicanapus, L.) probing by chlorophyll a fluorescence measurements[J]. Iranian Journal of Science and Technology Transaction A-Science, 1, 71-76(2012).

    [15] Streeter M J V, Colgan C, Cobo C C et al. Laser wakefield accelerator modelling with variational neural networks[J]. High Power Laser Science and Engineering, 11, e9(2023).

    [16] Goodman J, King M, Dolier E J et al. Optimisation and control of synchrotron emission in ultraintense laser-solid interactions using machine learning[J]. High Power Laser Science and Engineering, 12, 01000e(2024).

    [17] Wang Z D, Zhang Y G, Zhang L J et al. Research on three-dimensional fluorescence spectrum recognition technology of petroleum pollutants based on deep learning[J]. Laser & Optoelectronics Progress, 60, 1530001(2023).

    [18] Belkoura L. Identifiabilty of systems described by convolution equations[J]. Automatica, 41, 505-512(2005).

    [19] He Q F, Daqaq M F. Electric load optimization of a nonlinear mono-stable duffing harvester excited by white noise[J]. Meccanica, 51, 1027-1039(2016).

    [20] Ge S C, Deng M, Chen K et al. Broadband signal generator for the approximation of a magnetotelluric source for indoor testing[J]. Journal of Geophysics and Engineering, 13, 612-621(2016).

    [21] Noël J P, Renson L, Grappasonni C et al. Identification of nonlinear normal modes of engineering structures under broadband forcing[J]. Mechanical Systems and Signal Processing, 74, 95-110(2016).

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    Qian Xia, Hao Tang, Wei Ge, Lijiang Fu, Dezhi Tong, Ya Guo. Research and Development of Chlorophyll Fluorescence Meter with Broadband Excitation Function[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0815002

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    Paper Information

    Category: Machine Vision

    Received: Feb. 27, 2023

    Accepted: Apr. 4, 2023

    Published Online: Apr. 16, 2024

    The Author Email: Guo Ya (guoya68@163.com)

    DOI:10.3788/LOP230719

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