Remote Estimation of the Chlorophyll Concentration of Living Trees Using Laser-induced Fluorescence Imaging Lidar

Saito, Yasunori; Kurihara, Koh-jiro; Takahashi, Hiroaki; Kobayashi, Fumitoshi; Kawahara, Takuya; Nomura, Akio; Takeda, Satomi

doi:10.1007/s10043-002-0037-9

Cited by 19 publications

(11 citation statements)

References 11 publications

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“…Thus, the LIFS lidar has the potential to provide the physiological status of a plant non-destructively and remotely. For example, the relative intensities of the two chlorophyll LIF spectra had a strong relation to the chlorophyll concentration, which varied depending on the month and season [4].…”

Section: Database Of Lif Spectrummentioning

confidence: 99%

Performance Characteristics of Compact Mobile LIFS (Laser-Induced Fluorescence Spectrum) Lidar

Tomida

Nishizawa

Sakurai

et al. 2016

EPJ Web of Conferences

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We developed a compact but versatile laserinduced fluorescence spectrum (LIFS) lidar that has potential use for material or aerosol identification outside experimental rooms. The compactness and mobility of the LIFS lidar means observations can be more freely conducted at any place and any time. Its performance characteristics were validated by threedimensional fluorescence imaging of targets and remote detection of quasi bio/organic aerosols.

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Section: Database Of Lif Spectrummentioning

confidence: 99%

Performance Characteristics of Compact Mobile LIFS (Laser-Induced Fluorescence Spectrum) Lidar

Tomida

Nishizawa

Sakurai

et al. 2016

EPJ Web of Conferences

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“…In fact, large crop areas can be efficiently surveyed by scanning an instrument placed at a high viewpoint or by mounting it in an airplane or a drone [63]. LIF was applied for estimating the overall metabolic activity of plants during a defined period of time [64,65]; differentiating plant species [66][67][68]; assessing potassium deficiency [69]; estimating the maturity of lettuce [70]; detecting mildew and rust fungal [71] and bacterial [72] infections; and studying the influence of water stress [73,74], ambient light [68], UV radiation [75], atmospheric [76], and soil pollutants [76,77] and excess of ammonium nitrate [78] and nickel [79] on plant physiology. In addition, LIF has been used to assess the productive biomass of benthic diatoms [62,80] and to differentiate between groups of macroalgae [81].…”

Section: Laser-induced Fluorescencementioning

confidence: 99%

Monitoring Photosynthesis by In Vivo Chlorophyll Fluorescence: Application to High-Throughput Plant Phenotyping

Silva¹

2016

Applied Photosynthesis - New Progress

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In spite of the decrease in the rate of population growth, world population is expected to rise from the current figure (slightly above to 7.2 billion) to reach 9.6 billion in 2050. There is therefore a pressing need to increase food production. Since most of the best arable lands are already under production, expanding the agricultural areas would have negative impacts on important natural areas. Thereby, increasing the productivity of the current agricultural areas is the chief objective of agronomical planners, and planting more productive and better adapted plant varieties is crucial to achieve it. In fact, plant breeding is at the forefront of concern of both agronomists and plant biologists. Plant breeding is a millenary activity that deeply changed our world. However, the use of molecular biology techniques jointly with informatics capabilities-giving rise to the omics techniquesdeeply accelerated plant breeding, providing new and better plant varieties at an increased pace. The advances in genomics, though, far by-passed the advances in phenomics, and so there is a rising consensus among plant breeders that plant phenotyping is a bottleneck to advancing plant breeding. Therefore, a range of international initiatives in highthroughput plant phenotyping (HTPP) are at course, and new automated equipment is being developed. Phenotyping plants, however, is not a simple matter. To begin with, it has to be decided which parameters to measure in order to extrapolate to the desired goals, plant resistance and plant productivity. For this, as well as for plant breeding, an indepth knowledge of plant physiology is required. Photosynthesis has been considered as a good indicator of overall plant performance. It is the only energy input in plants and thereby impacts all aspects of plant metabolism and physiology. The cumulative rate of photosynthesis over the growing season is the primary determinant of crop biomass. It largely determines the redox state of plant cells, and therefore, it is at the core of regulatory networks. Therefore, assessing photosynthesis and the photosynthetic apparatus plays a core role on plant phenotyping. Nevertheless, high-throughput phenotyping demands very rapid measurements, and consequently the most common method of photosynthesis measurement-the infra-red gas analysis-is not well suited for this purpose. On the contrary, the techniques based on in vivo chlorophyll (Chl) a fluorescence measurements are perfectly fit. In this chapter, an historical perspective on the development of in vivo Chl a measurement is briefly addressed. Then, the state of the art of the fluorescence-based techniques of photosynthesis assessment is presented, and their potential use in HTPP is evaluated. Finally, the current use of these techniques in the main systems of phenotyping is surveyed.

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“…First, the system should possess an ability of multispectral image monitoring. Several distinctive wavelengths in the plant LIF such as 430, 440, 450, 460, 475, 525, 530, 550, 600, 680,3 685, and 740nm were reported. The wavelength and the intensity varied in accordance with PH, 4 temperature, 5 stress, 6 plant species, 7 seasons 8 , and excitation source.…”

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confidence: 99%

“…6,11 That at around 740 nm is called a far-red fluorescence, and the ratio between 740 nm intensity and 645 nm intensity is related to chlorophyll concentration 3,13 which is high with the high value of the ratio. The differences can be considered with these suggestions.…”

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Laser-induced fluorescence imaging of plants using a liquid crystal tunable filter and charge coupled device imaging camera

Saito

Matsubara

Koga

et al. 2005

Review of Scientific Instruments

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We developed a laser-induced fluorescence imaging system for plant monitoring use, with which it was possible to make an image at any wavelength between 430nm and 750 nm. The excitation source for the fluorescence was a cw ultraviolet laser diode with 398nm, and the detector was an image-intensified charge coupled device. A liquid crystal tunable filter was used as the fluorescence wavelength selection device. All of the system performance including the wavelength tuning was electrically controlled, so that it could be operated with no mechanical vibration noise.The fluorescence images of a coffee tree leaf obtained at 440 nm, 530 nm, 685 nm, and 740 nm clearly showed a distribution pattern of the fluorescence intensity over the leaf. The pattern reflected different 1 physiological statuses of the plant. Advantages of the imaging system were experimentally discussed on a point of detection of inhomogeneous physiological activities over a plant leaf. 2In agriculture and ecological science, there are strong demands to monitor plant growth process based on physiological activities, such as photosynthesis, light use efficiency, response to growth environmental stress, retrieval process from disease and so on. Plant fluorescence can be available for these requirements. As the fluorescence is released to outside after light use occurred inside of every part of plant, it can inherently contain physiological information. Using a laser as an excitation source for laser-induced fluorescence (LIF) has some advantage, in particular, an ultraviolet laser diode (LD) is an ideal excitation source because of compactness, solid-state construction, and a low power consumption. Combination of a laser with an imaging device offers another possibility to the measurement, which is LIF imaging. This is especially effective to understand the spatial heterogeneity of plant activities.Expansion to a LIF imaging lidar (light detection and ranging) makes possible of in vivo remote monitoring of vegetation. [1][2][3] In this short technical report we describe the LIF imaging system that was developed for monitoring of plant's physiological activities.There were three basic concepts we required the system. First, the system should possess an ability of multispectral image monitoring. Several distinctive wavelengths in the plant LIF such as 430, 440, 450, 460, 475, 525, 530, 550, 600, 680,3 685, and 740nm were reported. The wavelength and the intensity varied in accordance with PH, 4 temperature, 5 stress, 6 plant species, 7 seasons 8 , and excitation source. 9If reflectance information (wavelength) on a plant such as physiological reflectance index 10 can be also monitored together with the fluorescence information, the system will be more practical. Thus multi spectral monitoring is anticipated, but it is unfavorable to prepare many filters. Second, the system does not involve as few mechanically driven devices as possible, so that precise positioning in the detection is achievable. Positioning directly influences results of image a...

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Remote Estimation of the Chlorophyll Concentration of Living Trees Using Laser-induced Fluorescence Imaging Lidar

Cited by 19 publications

References 11 publications

Performance Characteristics of Compact Mobile LIFS (Laser-Induced Fluorescence Spectrum) Lidar

Performance Characteristics of Compact Mobile LIFS (Laser-Induced Fluorescence Spectrum) Lidar

Monitoring Photosynthesis by In Vivo Chlorophyll Fluorescence: Application to High-Throughput Plant Phenotyping

Laser-induced fluorescence imaging of plants using a liquid crystal tunable filter and charge coupled device imaging camera

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