CCM-200+ GPS
Chlorophyll Content Meter More than 900 publication citations Applications • Nondestructive Chlorophyll Content Measurement • Monitor Effects of Environmental Stress • Evaluate and Determine Plant Nutrient Performance and Requirements • Nitrogen Management • Teaching • Measure Algae blooms -New!
Features • Lightweight, allows operation with a single hand for rapid field work • Graphic Display of Chlorophyll Content Index with built-in optional Sample Averaging of from 2-30 measurements
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• Built-in Data-Logging - for more than 100,000 measurements and GPS
he proven CCM-200plus Chlorophyll Content Meter provides fast and reliable, chlorophyll content readings on the intact leaves of plants. The measurement is rapid, and easy to make with single hand operation, allowing researchers to gather and evaluate data faster than ever before. The instrument is especially useful for improving Nitrogen and Fertilizer management programs with corn, wheat, and various other types of crops. The CCM-200plus can be used on a wide variety of both C3 and C4 plants.
The CCM-200plus has the largest on-board memory of any chlorophyll meter, with the ability to store more than 100,000 measurements internally. No separate data logger is necessary. Researchers can record months of measurements without having to repeatedly return to the lab to download data or worry about limited memory.
The CCM-200plus is designed to be the most repeatable portable chlorophyll content meter available. It incorporates signal averaging over a larger measuring area of the sample. This approach takes into account small structure variations in leaves that can affect repeatability and reliability when compared to smaller area sampling. Reliability of measurement has been determined by correlation with chemical tests. More than 900 published citations, on a great variety of different plant samples, establish the credentials of the CCM-200 series meters.
Employing new MEDICAL grade strict tolerance LED sources increases accuracy and insures consistent meter to meter readings.
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• USB output -comma delineated files
Downloading of data is quick and easy through its USB port. The instrument becomes a hard drive for computers and comma delineated files open directly in standard spread sheet software.
Nitrogen management - The instrument also allows averaging capability for nitrogen management and fertilizer application. Researchers can select from 2 - 30 measurements for averaging. Web: www.optisci.com
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CCM-200+ GPS Nitrogen Status
Chlorophyll Content Meter Agriculture Crop Production
Accurate GPS module Main instrument measuring screen image In the upper left hand corner the GPS: + or indicates if GPS is working or not. GPS data information GPS: + means that the GPS is working GPS: - means that the GPS is not working.
GPS data screen Location, dilution, and satelite infomation report to the data file with measuring data. LOC: Location coordinates DOP: - Dilution of precisionSpecifies the multiplying effect of navigation satellite geometry on positional measurement precision. Sat: indicates the number of satellites that were used to determine GPS location. Satellite systems from countries around the world automatically respond.
Position accuracy: The location accuracy is excellent. It can be accurate up to about 0.3 meters or in the worst case, up to 2.5 meters. This is dependent on the satelite systems available at the time of use. The GPS acts automatically. The accuracy range quoted is known as CEP (circular error probable). A 2.5m CEP means that if you draw a 2.5m diameter circle around where the GPS says it is, the GPS is inside that circle.
Other characteristics Operating temperature is -40°C to +85°C. Anti jamming and spoofing systems included Works one minute after turning on Tel: (603) 883-4400
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How it works: For best location accuracy, the GPS system in the CCM-200plus chlorophyll content meter automatically works with several GPS satellite systems around the world. The 72-channel system includes: SBAS L1 C/A: WAAS (Wide Area Augmentation System) US satellite system, EGNOS (European Geostationary Overlay System), MSAS (Japanese MTSAT Satellite-based Augmentation System), GAGAN (Indian GPS Aided Geo Augmented Navigation), GPS/QZSS L1 C/A Japanese satellite system, BeiDou B11 Chinese satellite system, Galileo E1B/C European Union satellite system, and the GLONASS L10F Russian satellite system. Web: www.optisci.com
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CCM-200+ GPS Nitrogen Status
Chlorophyll Content Meter Agriculture Crop Production
New - algae bloom measurement application Journal Reference: Trent T., Hendrickson J., Harwell M.C. (2017) A rapid, cost-effective screening tool for measuring Chl-a in water samples. Lake and Reservoir Management, Pages 1-6, Published online: 11 Jul 2017, http://dx.doi.org/10.1080/10402381.2017.1335360
Researchers from the Florida US environmental protection agency and St. Johns River Water Management District used the CCM-200plus chlorophyll content meter to quantify algae blooms. “We believe this CCM provides a useful screening tool for rapid measurement of Chl-a concentrations in the lower St. Johns River and has the potential for being an algal bloom screening tool elsewhere. However, we emphasize that calibrations are required for applying our method in different water bodies.”
New algae application Nitrogen Rice Saberioon M.M., Soom M.A.M. (2014) A Review of Optical Methods for Assessing Nitrogen Contents during Rice Growth. American Society of Agricultural and Biological Engineer. https://elibrary.asabe.org/abstract.asp?aid=45074 Nitrogen Potato Lazarević B., Poljak M., Ćosić T., Horvat T., Karažija T. (2014) Evaluation of Soil and Plant Nitrogen Tests in Potato (Solanum tuberosum L.) Production. Agriculturae Conspectus Scientificus, Vol.79 No.1 Ožujak 2014. https://hrcak.srce.hr/120759 Nitorgen vinyard D'Attilio D. (2014) Optimizing nitrogen fertilization practices under intensive vineyard cover cropping floor management systems. Virginia Tech,https://vtechworks.lib.vt.edu/handle/10919/5661 Nitrogen Maple tree Van den Berg A. K., Perkins D. (2004) Evaluation of a portable chlorophyll meter to estimate chlorophyll and nitrogen contents in sugar maple (Acer saccharum Marsh.) leaves, Forest Ecology and Management 200 (2004) 113–117 Nitrogen Asian Pear
More Journal Citations: Nitrogen Maize Mashego S, Petja B.M., Moshi M.E. Mailula A.N., Shaker P., Lekalakala R.G. , Mushadu W.G., and Dikgwatlhe W.G. (2012) MAIZE GRAIN YIELD COMPARISON UNDER CONVENTIONAL AND SITE-SPECIFIC NITROGEN MANAGEMENT IN A DRYLAND FARMING SYSTEM BSc. Agric; Current MSc. Agric Soil Science at the University of Limpopo Work at the Limpopo Dept. of Agriculture, Directorate: Research Services Nitrogen Maize
GHASEMI M., ARZANI K., YADOLLAHI A., GHASEMI S., KHORRAMI S.S. (2011) Estimate of Leaf Chlorophyll and Nitrogen Content in Asian Pear (Pyrus serotina Rehd.) by CCM200. Available online at www.notulaebiologicae.roNotulae Scientia Biologicae Print ISSN 2067-3205; Electronic 2067-3264 Not Sci Biol, 2011, 3(1):91-94 Iron , sulfur Christensen R. C., Hopkins B. G., Jolley V.D., Olson K. M., Haskell C. M., Chariton N. J. & Webb B. L. (2012) ELEMENTAL SULFUR IMPREGNATED WITH IRON AS A FERTILIZER SOURCE FOR KENTUCKY BLUEGRASS, Journal of Plant Nutrition DOI: 10.1080/01904167.2012.706684 pages 1878-1895 Molyibdenum
TORRES-DORANTE L., R. PAREDES-MELESIO R., A. LINK A., and J. LAMMEL J. (2015) A methodology to develop algorithms that predict nitrogen fertilizer needs in maize based on chlorophyll measurements: a case study in Central Mexico. The Journal of Agricultural Science, Cambridge University Press, DOI: https://doi.org/10.1017/S002185961500074X
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Biscaro G.A.; Goulart Junior S.A.R.; Soratto R.P.; Freitas Júnior N.A.F.; Motomiya A.V.A.; Filho G.C.C. (2009) Molybdenum applied to seeds and side dressing nitrogen on irrigated common bean in cerrado soil. Ciência e Agrotecnologia Print version ISSN 1413-7054 Ciênc. agrotec. vol.33 no.5 Lavras Sept./Oct. 2009 http://dx.doi.org/10.1590/S1413-70542009000500012 CIÊNCIAS AGRÁRIAS
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CCM-200+ GPS Nitrogen Status
Chlorophyll Content Meter Agriculture Crop Production
Changes in chlorophyll content can occur as a result of nutrient deficiencies, exposure to environmental stress, exposure to certain herbicides, and differences in the light environment during growth (shading). Chlorophyll content can be used to manage nutrient optimization programs that both improve crop yield and help protect the environment. Testing for herbicide damage can indicate the need for a change in herbicide selection or application methods. in order to maintain good weed control while having minimum impact on crop health. Laboratory methods for determination of chlorophyll content are both time consuming and destructive to the sample. Typically, a sample must be detached, ground up in a solvent, then assayed with a spectrophotometer. A sample can be measured only once precluding the monitoring of trends in chlorophyll content over the growing cycle. The CCM-200plus provides non-destructive, rapid measurements with an option for auto averaging of measurements.. It reduces the need for time consuming and costly chemical testing.
Technical Specifications Measured Parameters: Optical absorptance in two different wavebands (653 nm and 931 nm). Designed to measure chlorophyll content and compensate for leaf thickness Measurement Area: 3/8� diameter circle, or 9.53 mm 2 2 area is 0.11in , or 71.22 mm Resolution +/- 1 CCI Unit Repeatability +/- 1% Source: (1) Medical grade LED (peak at 653nm) (1) Infrared LED ( peak at 931 nm) Detector: Silicon photodiode with integral amplifier for absorptance measurement and source power monitoring for temperature compensation Storage Capacity: 1 Gigabyte of non-volitile memory allows between 94,000 and 160,000 measurements. Modes: Single point measurement, or selectable averaging from 2 to 30 samples. Standard deviation is available for 10 samples or more. User Interface: 128 x 32 pixel display, 6 keys for control and data manipulation, beep signal for status and warnings
The CCM-200 plus accounts for both chlorophyll transmittance and leaf thickness.
Output: USB 1.1 interface for data transfer. Either entire measuring files, or single measurements can be output by selection. Temperature Range: 0-50 Deg C Temperature Drift: Temperature compensated source and detector circuitry for minimum drift over full range.
8 Winn Avenue Hudson, NH 03051, USA Tel: (603)883-4400 Fax: (603)883-4410 email: sales@optisci.com web site: www.optisci.com Opti-Sciences, Inc. is continuously updating its products and reserves the right to amend its specifications as necessary. Š 2005, Opti-Sciences, Inc.
Power Source: 9V Alkaline Battery Auto Off Interval: 4 minutes (no key press or download) Size: 152(L) x 82(W) x 25(D)mm Weight (with battery): 162g
CCM-300 GPS
The Chlorophyll Content Meter
proven for very small leaves & difficult to measure samples Applications Published References for: Scots Pine Seedlings Spruce Seedlings 2 week old Arabidopsis 17 day old Rice seedlings 7-42-day old Transgenic Barley Moss on Rocks in Antarctica
CAM plants - Prickly Pear Cactus Peat Moss Chlorolichens The CCM-300 Uses a proven fluorescence ratio technique for chlorophyll content measurement from Gittelson (1999).
Golf Green Grass & Silvery-Thread Moss
Unlike absorption chlorophyll content measuring systems, samples do not have to fill the measuring aperture for reliable measurement.
also for... Corn, Soybeans, Sugar Cane Maple trees, Potatoes, Wheat & Poison Ivy
Orchard Grass
Advantages • Direct
readout of chlorophyll content in mg m-2 .
• Much larger reliable measuring range
than absorption style meters. Get better results at higher chlorophyll content levels. • Provides reliable results regardless of leaf or sample size, thickness, and shape. Offers a high degree of correlation with chemical tests.
• Measurement modes include discrete single measurement and sample averaging from 2-30 samples. Software allows either mean or median option selections. • Almost unlimited measurement storage up to 1 gigabyte of non volatile flash memory. • USB output: files are comma delineated & may be opened directly in Excel or other spread sheet software. • Graphic Color touch screen & data display.
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CCM-300 GPS Chlorophyll Content Meter CAM Plants, Conifers, Grasses, Moss, Chlorolichens
Measures chlorophyll content reliably from 41 mg m-2 to 675 mg m-2 Gitelson 1999 Leaf absorption based chlorophyll content technology has been shown to provide reliable measurements up to only about 400 mg m-2 , where the technology saturates. However, well fertilized healthy plants can have significantly higher chlorophyll content values.
Gitelson’s ratio fluorescence method has been shown to measure reliably up to 675 mg m-2, providing better measurements of well fertilized plants and earlier plant stress measurement sensitivity.
More examples of difficult samples
Measuring immature rice
Measuring Arabidopsis thalia the same day as germination. Accessories: Optional optical probes
Cactus CAM Plants
Cylindrical probes allow fiberoptic placement in a perpendicular position to the sample for more repeatable results on samples that are difficult for the standard leaf clip. They should be considered for measuring samples like moss on rocks, CAM plants or very short grasses. They are not part of the standard equipment.
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CCM-300 GPS Chlorophyll Content Meter CAM Plants, Conifers, Grasses, Moss, Chlorolichens
Measures chlorophyll content reliably from 41 mg m-2 to 675 mg m-2 Gitelson 1999 Main instrument measuring screen image In the upper left hand corner the GPS: G or G indicates if GPS is working. GPS data information GPS: G means that the GPS signal is good GPS: G means that the GPS signal is too weak
Position accuracy: The location accuracy is excellent. It can be accurate up to about 0.3 meters or in the worst case, up to 2.5 meters. This is dependent on the satellite systems available at the time of use. The image above indicated that 10 satellites were involved and Dilution Of Precision was 01.0 meters.
How it works: For best location accuracy, the GPS system in the CCM-300 chlorophyll content meter automatically works with several GPS satellite systems around the world. The 72-channel system includes: SBAS L1 C/A: WAAS (US satellite system), EGNOS (European Geostationary Overlay System), MSAS (Japanese MTSAT satellite system), GAGAN (Indian GPS satellite system), GPS/QZSS L1 C/A Japanese satellite system, BeiDou B11 (Chinese satellite system), Galileo E1B/C (European Union satellite system) and the GLONASS L10F (Russian satellite system). Tel: (603) 883-4400
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GPS data screen Location, dilution, and satellite information report to the data screen and the data file along with measuring data. Latitude & Longitude DOP: - Dilution of precisionSpecifies the multiplying effect of navigation satellite geometry on positional measurement precision. Sat: indicates the number of satellites that were used to determine GPS location.
Other characteristics Operating temperature is -40°C to +85°C. GPS works one minute after turning the system on. Web: www.optisci.com
Email:sales@optisci.com
Published CCM-300 References Difficult to measure sample references -
Difficult to measure sample references -
17-day old rice seedling chlorophyll content measurement
Orchard grass
Chia-Cheng Kan, Tsui-Yun Chung, Yan-An Juo MingHsiun Hsieh (2015) Glutamine rapidly induces the expression of key transcription factor genes involved in nitrogen and stress responses in rice roots BMC Genomics201516:731 https://doi.org/10.1186/s12864-0151892-7 2 week-old Arabidopsis thaliana seedlings Jasmina Kurepa, Timothy E. Shull, Jan A. Smalle (2016) Quercetin feeding protects plants against oxidative stress. F1000Research 2016, 5:2430 Last updated: 25 DEC 2016) Latest published: 03 October 2016, 5:2430 (doi: 10.12688/f1000research.9659.1) Spruce saplings O Krišāns, Ā Jansons, G Ievinsh (2016) Effect of decreased precipitation events on primary growth and photosynthesisrelated characteristics of spruce (Picea abies) saplings grown in different substrates - THE 74th SCIENTIFIC CONFERENCE OF THE UNIVERSITY OF LATVIA 2016 - eeb.lu.lv Moss in Antarctica Erin E. Shortlidge, Sarah M. Eppley, Hans Kohler, Todd N. Rosenstiel, Gustavo E. Zúñiga, Angélica Casanova-Katny, (2017) Passive warming reduces stress and shifts reproductive effort in the Antarctic moss, Polytrichastrum alpinum Annals of Botany, Volume 119, Issue 1, 1 January 2017, Pages 27–38, https://doi.org/10.1093/aob/mcw201 Coral - wave motion & nutrient stress Dana Riddle (2015) Coral Nutrition Part 4: Can Nutrient Deficiency Related to Water Motion Induce Coral Bleaching? Advanced Aquarist Volume XVI › June 2015 https://www.advancedaquarist.com/2015/6/aafeature Chlorolichens Shuai Liu, Su Li, Xiao-Yang Fan, Guo-Di Yuan, Tao Hu, Xian-Meng Shi, Jun-Biao Huang, Xiao-Yan Pu, ChuanSheng Wu (2019) Comparison of two noninvasive methods for measuring the pigment content in foliose macrolichens. et al. Photosynth Res (2019). https://doi.org/10.1007/s11120-019-00624-x
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Gordon B. Jones, Jasper B. Alpuerto, Benjamin F. Tracy, and Takeshi Fukao (2017) Physiological Effect of Cutting Height and High Temperature on Regrowth Vigor in Orchard grass. Front Plant Sci. 2017; 8: 805. Published online 2017 May 19. doi: 10.3389/fpls.2017.00805 PMCID: PMC5437204 7-42-day old transgenic barley PetrVojta, FilipKokáš, Alexandra Husičková, JiříGrúz, VeroniqueBergougnoux, Cintia F. Marchetti, Eliška Ježilová, Václav Mik, Yoshihisa Ikeda, Petr Galuszka, (2016) Whole transcriptome analysis of transgenic barley with altered cytokinin homeostasis and increased tolerance to drought stress. New Biotechnology Volume 33, Issue 5, Part B, 25 September 2016, Pages 676-691 https://doi.org/10.1016/j.nbt.2016.01.010 Scots pine seedlings Tapani Repo, Samuli Launiainen, Tarja Lehto, Sirkka Sutinen, Hanna Ruhanen, Juha Heiskanen, Ari Laurén, Raimo Silvennoinen, Elina Vapaavuori, Leena Finér (2016) The responses of Scots pine seedlings to waterlogging during the growing season Canadian Journal of Forest Research 2016, 46(12): 1439-1450, https://doi.org/10.1139/cjfr-2015-0447 Norway spruce and Scots pine seedings Johanna Riikonen, Nelli Kettunen, Maria Gritsevich, Teemu Hakala, Liisa Särkkä, Risto Tahvonen, (2016) Growth and development of Norway spruce and Scots pine seedlings under different light spectra Environmental and Experimental Botany Volume 121, January 2016, Pages 112Peatland vegetation sphagnum moss and other Peatland plants Anshu Rastogi, Marcin Stróżeckia, Hazem M. Kalaji, Dominika Łuców de Mariusz, Lamentowicz, Radosław Juszczak (2019) Impact of warming and reduced precipitation on photosynthetic and remote sensing properties of peatland vegetation Environmental and Experimental Botany Volume 160, April 2019, Pages 71-80 https://doi.org/10.1016/j.envexpbot.2019.01.005
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Published CCM-300 References Difficult to measure sample references -
Easier plants -
CAM plants – Prickly Pear Cactus -Opuntia humifusa & Opuntia stricta
Potato
Kudakwashe Musengi (2018) THE BIOLOGICAL CONTROL OF CACTI (CACTACEAE: OPUNTIOIDEAE) IN SOUTH AFRICA: BASIS OF HOST SELECTION IN THE 'STRICTA' BIOTYPE OF DACTYLOPIUS OPUNTIAE (COCKERELL) (HEMIPTERA: DACTYLOPIIDAE). University of the Witwatersrand, South Africa. May 2018. file:///C:/Users/Sales/Desktop/CCM300%20on%20cactus.pdf Golf green grass & Silvery-Thread Moss ZRaudenbush Z.T, Greenwood J.L., McLetchie D.N., Eppley D.N. (2018) Divergence in Life-History and Developmental Traits in Silvery-Thread Moss (Bryum argenteum Hedw.) Genotypes between Golf Course Putting Greens and Native Habitats. Cambridge University Press: 11 September 2018, Volume 66, Issue 5 , September 2018 , pp. 642-650 , DOI: https://doi.org/10.1017/wsc.2018.37
Easier plants Corn Thomas R. Butts, Joshua J. Miller, J. Derek Pruitt, Bruno C. Vieira, Maxwel C. Oliveira, Salvador Ramirez II, John L. Lindquist (2017) Light Quality Effect on Corn Growth as Influenced by Weed Species and Nitrogen Rate. Journal of Agricultural Science Vol 9, No 1 (2017) DOI: http://dx.doi.org/10.5539/jas.v9n1p15 Nursery nitrogen status MJ Clark, Y Zheng (2017) Effect of Top-dressed Controlled-release Fertilizer Rates on Nursery Crop Quality and Growth and Growing Substrate Nutrient Status in the Niagara Region, Ontario, Canada. doi: 10.21273/HORTSCI11309-16 HortScience January 2017 vol. 52 no. 1 167-173 Soybean Pradeep Wagle, Prasanna H. Gowda, Saseendran S. Anapalli, Krishna N. Reddy, Brian K. Northup, (2017) Growing season variability in carbon dioxide exchange of irrigated and rainfed soybean in the southern United States. Science of The Total Environment,–Volumes 593594, 1 September 2017, Pages 263-273
Maropeng Vellry Nemutanzhela, David Mxolisi Modise, Kotose Joseph Siyoko, Sheku Alfred Kanu (2017) Assessment of Growth, Tuber Elemental Composition, Stomatal Conductance and Chlorophyll Content of Two Potato Cultivars Under Irrigation with Fly Ash-Treated Acid Mine Drainage. American Journal of Potato Researc August 2017, Volume 94, Issue4, pp 367–378 Noccaea Brassicaceae - flowering plant Soledad Martos, Berta Gallego, Llorenç Sáez, Javier López-Alvarado, Catalina Cabot, and Charlotte Poschenrieder (2016) Characterization of Zinc and Cadmium Hyperaccumulation in Three Noccaea (Brassicaceae) Populations from Non-metalliferous Sites in the Eastern Pyrenees Front Plant Sci. 2016; 7: 128. Published online 2016 Feb 9. doi: 10.3389/fpls.2016.00128 Poison Ivy John G. Jelesko, Elise B. Benhase, Jacob N. Barney (2017) Differential Responses to Light and Nutrient Availability by Geographically Isolated Poison Ivy Accessions. Northeastern Naturalist 24(2):191-200. 2017 https://doi.org/10.1656/045.024.0210 Sugar Maple Amritpal S. Singh, A. Maxwell P. Jones, Mukund R. Shukla, Praveen K. Saxena (2017) High light intensity stress as the limiting factor in micropropagation of sugar maple (Acer saccharum Marsh.) Plant Cell, Tissue and Organ Culture (PCTOC), May 2017, Volume 129, Issue2, pp 209–221, doi:10.1007/s11240-017-1170-2 Cd and Cu stress in road side plants Margita Kuklová, Helena Hniličková, František Hnilička, Ivica Pivková, Ján Kukla (2019) Impact of expressway on physiology of plants and accumulation of risk elements in forest ecosystems Plant Soil Environ., 65: 46 53. https://doi.org/10.17221/585/2018-PSE
https://doi.org/10.1016/j.scitotenv.2017.03.163
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CCM-300 GPS Chlorophyll Content Meter CAM Plants, Conifers, Grasses, Moss, Chlorolichens The science for measuring chlorophyll content using ratio chlorophyll fluorescence has been well established. The cost for such systems, however, has been much higher than for the more popular light absorption instruments available. As a result, the ability to measure very small samples, curved samples and very thick samples has been out of reach for most budgets. With the CCM 300, Opti-Sciences has engineered a ratio fluorescence solution that is much closer to the cost of absorption techniques.
Technical Specifications -2
Measured Parameters: Chlorophyll content in mg m and CFR or Chlorophyll Fluorescence Ratio - fluorescence emission ratio of intensity at 735nm / 700nm. Measurement Area: 3 mm diameter circle, external diameter of 4 mm. However, the instrument will reliably measure samples that are much smaller than 3 mm. -2
Resolution: Ratio 0.01 or 1 mg m . Repeatability: is dependent on signal strength. For samples with low signal strength, averaging of multiple measurements is recommended. for samples with good signal strength, ratio values of +- 0.03 or better, are common.
While it is still more cost effective to use the CCM-200plus for medium size and larger leaves on most wheat or corn plants, the CCM-300 is in an affordable price range to allow cost effective measurement of chlorophyll content in very small leaves, and other difficult to measure samples.
Noise: <+/- 2% Source: (1) LED 460 nm blue diode half band width 15 nm.
Unlike absorption techniques that require full coverage of the measuring aperture, and a relatively flat surface for reliable measurement, this fluorescence technique does not. Instead, the sample absorbs light at one wavelength, and it is re-emitted as fluorescence at longer wavelengths.
Detector: Two solid state, high sensitivity detectors. Band limiting filter sets provided. Dual wavelength detection at the same time. 700nn to 710nm, and 730 nm to 740 nm. Detection: Modulated light digitally controlled to minimize background detection. Temperature compensation included for light source and detector
This allows measurement of curved samples like individual conifer needles, leaves that are too thick for absorption techniques found in CAM plants, and samples that are too small for reliable absorption technique measurements such as moss, turf grasses, Arabidopsis, and immature rice.
Storage Capacity: Up to 1 gigabyte of non-volatile flash memory
Furthermore, the correlation with chemical measuring techniques is excellent, even at higher chlorophyll content levels.
Output: USB 1.1
The design of this instrument was based on the science from Gitelson A. A., Buschmann C., Lichtenthaler H. K. (1999) The fluorescence emission and excitation wavelengths used in this test were designed to provide the maximum chlorophyl measuring range, and minimize possible measuring errors.
Modes: Single point measurement, & measurement averaging for 2- 30 samples, averaging with 2 sigma outlier removal, or median determination. User Interface: 240 x 320 pixel Color touch screen
Temperature Range: 0-50 Deg C Power Source: 2 Rechargeable AA batteries. Charger supplied with instrument. Auto Off Interval: (no key press or download) programable from 0 to 20 minutes. Size: 12cm x 9cm x 3 cm Weigh: 0.6 lbs 275g Measuring time: 5 seconds GPS: The location accuracy is excellent. It can be accurate up to about 0.3 meters or in the worst case, up to 2.5 meters. It records longitude, latitude, number of satellites and DOP.
Measurement method reference: Gitelson A. A., Buschmann C., Lichtenthaler H. K. (1999) â&#x20AC;&#x153;The Chlorophyll Fluorescence Ratio F735/F700 as an Accurate Measure of Chlorophyll Content in Plantsâ&#x20AC;? Remote Sens. Enviro. 69:296-302 (1999)
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Components included: CCM 300 Chlorophyll content meter, fiberoptic, sample clip, battery charger, 4 AA NiMH rechargeable batteries, USB cable, carrying case and manual. Optional probe tips: for CAM plants, moss on rocks, & samples that do not work with a leaf clip. - not included.
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