PTM-50 Plant Bio-Ecological Monitoring System

Preface

PTM-50 plant physiological ecological monitoring system acï bɛ̈n ya juak në PTM-48A, bï fotosynthesis rate, vaporization rate, plant physiological growth status, environmental factors ya tïŋ në kaam juëc yiic, ku bï kek ya tïŋ në wɛ̈t juëc yiic.

Karakteristik baara

·Sistɛm de 4 ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye

·Sisitɛm ye tɔ̈u në digital channel 1 ye RTH-50 multi-function sensor (ye radiation total, photosynthetic effective radiation, air temperature & humidity, dew point temperature, etc.) ya tɔ̈u në standard.

·Analyzer unit upgraded to dual channel measurement, new model PTM-50 measured by a previous 1 analyzer divided time, upgraded to 2 independent analyzers, real time measurement of difference in concentration of reference gas and sample gas, enhancing the tolerance to environmental CO2, H2O fluctuations, data is more stable and reliable.

·Sensor ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈ɛ̈r ye kɛ̈

·A lëu bï ya tɔ̈ɔ̈u në thɛɛr dɛ̈t peei në module de monitoring automatique de fluorescence de chlorophyll bï ya tɔ̈ɔ̈u në thɛɛr dɛ̈t peei në fluorescence de chlorophyll.

·Sisitɛm ye kɔc kony në 2.4GHz RF ku 3G.

Takayiɛr de PTM-50

Lappol Application

·A tɔ̈u në puɔ̈ɔ̈c de plant physiology, ecology, agronomy, gardening, crop science, facility agriculture, water saving agriculture ku kɔ̈k peei

·Dɛ̈ɛ̈r dɛ̈ɛ̈r dɛ̈ɛ̈r, dɛ̈ɛ̈r dɛ̈ɛ̈r dɛ̈ɛ̈r

·Ka tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ

·Kulic kä ye kɔc cɔl photosynthesis, steaming, ku growth limits

·Ka tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ

Foto dɔ̈u ye nyuɔɔth kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ kɔnɔ

Basic Configuration Composition

·1× PTM-50 System Console

·1× Power Adapter

·1 × Battery Connector

·1× RTH-50 Multi-function Sensor

·4×LC-10R leaf chamber, 10 cm2

·4×4m Gas Connection Tube

·2 × 1.5 m Stainless Steel Bracket

·Sensor wireless ye kuany

·English Software

·Wël ë English

Teknik Indikator

·Kuen luɔɔi: Automatic continuous measurement

·Waktu Sample Chamber: 20s

·CO2 measurement principle: dual channel non-dispersive infrared gas analyzer

·CO2: 0-1000 ppm

·Kä ye kek them në CO2 yic: -70-70 μmolCO2 m-2 s-1

·H2O measurement principle: Integrated air temperature and humidity sensor

·Lɔ̈ɔ̈i ë ɣään: 0.25L/min

·RTH-50 multi-function sensor: tɛmɛ -10 ka tɛmɛ 60°C; Humidity: 3-100% RH; photosynthetic effective radiation: 0-2500μmolm-2s-1

·Ajuiɛɛr: 5-120 minit

·Capacity of storage: 1200 data, sampling frequency is 30 minutes can be stored for 25 days

·Ajuiɛɛr de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam de kaam

·Power: 9 yaa 24 Vdc

·Wɛ̈t ye kɔɔr: 2.4GHz RF ku 3G

·Gɛlɛŋ kɛnɛya: IP55

·Optional leaf chamber and sensors

1.LC-10R transparent leaf chamber: round leaf chamber, area 10cm2, air flow speed 0.23±0.05L/min

2.LC-10S transparent leaf chamber: rectangular leaf chamber, 13×77mm, 10cm2, air flow speed 0.23±0.05L/min

3.MP110 chlorophyll fluorescence automatique monitoring module, lëu bï ya tïŋ në automatique në Ft, QY ku jɔl ya chlorophyll fluorescence parameters

4.LT-1 Sensor de température de la surface de la lame: a ye tɛmɛ 0-50 ℃

5.LT-4 Sensor de température de surface: 4 LT-1 sensors cï kek mat thïn ago tɛmɛ de température de surface ya tɛmɛ

6.LT-IRz Infrared Temperature Sensor: Range 0-60°C, Sight Range 5:1

7.SF-4 Plant stem flow sensor: maximum 10ml/h, suitable for diameter 2-5mm stem rods

8.SF-5 Plant stem flow sensor: maximum 10ml/h, suitable for diameter 4-10mm stem rods

9.SD-5 Stem Bar Micro Variable Sensor: Range 0 to 5mm, suitable for diameter 5-25mm stem bar

10.SD-6 Stem Bar Micro Variable Sensor: 0 to 5mm, a lëu bï ya luui në 2-7cm Stem Bar

11.SD-10 Stem Bar Micro Variable Sensor: 0 to 10mm, a lëu bï ya luui në 2-7cm Stem Bar

12.DE-1 Sensor de growth de trunk: 0 to 10mm, a lëu bï ya luui në trunk de 6cm

13.FI-L Sensor dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r dɔ̈ɔ̈r

14.FI-M Medium Fruit Growth Sensor: Range 15 to 90mm, suitable for round fruits

15.FI-S Small Fruit Growth Sensor: Range 7 to 45mm, suitable for round fruits

16.FI-XS Micro Fruit Growth Sensor: Range 0 to 10mm, suitable for round fruits with a diameter of 4 to 30mm

17.SA-20 Sensor de altitude: Range 0 to 50cm

18.SMTE tɛ̈ɛ̈r tɛ̈ɛ̈r tɛ̈ɛ̈r tɛ̈ɛ̈r tɛ̈ɛ̈r tɛ̈ɛ̈r tɛ̈ɛ̈r tɛ̈ɛ̈r -40 tënë 50 °C; 0 tënë 15 dS/m

19.PIR-1 photosynthetic effective radiation sensor: wavelength 400 to 700nm, light intensity 0 to 2500μmolm-1s-1

20.TIR-4 Total Radiation Sensor: Wave length 300 to 3000nm, radiation 0 to 1200W/m2

21.ST-21 Tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ tɛmɛ

22.LWS-2 blade humidity sensor: a bɛ̈n ya nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth ye nyuɔɔth

Software Interface & Data

A nyuɔɔth CO2 (CO2 EXCHANGE), SAP FLOW, VPD, PAR (Photosynthetic Effective Radiation) ye tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n tɛ̈n

Application Case

Net CO2 uptake rates for Hylocereus undatus and Selenicereus megalanthus under field conditions: Drought influence and a novel method for analyzing temperature dependence, Ben –Asher. J. et al. 2006, Photosynthetica, 44(2): 181-186

Kalan kɔnɔ ye CO2 ye cɔl Hylocereus undatus (ye cɔl Fire Dragon Fruit) ku Selenicereus megalanthus (ye cɔl Selenicereus megalanthus) ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2 ye cɔl Co2

Wuro

Eropa

Solution Teknoloji

1)Fotosynthesis and chlorophyll fluorescence measurement system with chlorophyll fluorescence meters (Fotosynthesis and chlorophyll fluorescence measurement system with chlorophyll fluorescence meters) (Fotosynthesis and chlorophyll fluorescence measurement system with chlorophyll fluorescence meters)

2)Sisitɛm de fotosynthesis ku fluorescence imaging de chlorophyll ye tɔ̈ɔ̈u kek FluorCam

3)A lëu bï ya tɔ̈ɔ̈u në fotosynthesis yic, ka tɔ̈ɔ̈u në fotosynthesis yic, ka tɔ̈ɔ̈u në fotosynthesis yic, ka tɔ̈ɔ̈u në fotosynthesis yic

4)O2 measurement unit ye sɔrɔ

5)A lëu bï ya tɔ̈ɔ̈u në infrared thermal imaging unit ago air pore conductivity dynamics analyze

6)PSI Smart LED Light Source

7)A lëu bï ya tɔ̈ɔ̈u në FluorPen, SpectraPen, PlantPen, ku jɔl ya kä ye kek tɔ̈ɔ̈u në biäk yiic, ku bï ya tɔ̈ɔ̈u në biäk yiic, ku bï ya tɔ̈ɔ̈u në biäk yiic

8)ECODRONE lëu ® Drone platform ye tɔ̈u në high spectrum ku infrared thermal imaging sensors ye tɔ̈u në time-space pattern research

References

1.Song 宗河, Zheng Moon<unk> ku Zhang 学昆. Analyze and comprehensive evaluation of main ingredients related to the characteristics of cabbage oil resistance to drought. Analyze and comprehensive evaluation of main ingredients related to the characteristics of cabbage oil resistance to drought. China Agricultural Science 44, 1775<unk>1787 (2011).

2.李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李李 Modeling and prediction of CO2 exchange rates based on genetic expression programmed on tomato blades (Modeling and prediction of CO2 exchange rates based on genetic expression programmed on tomato blades) Zhejiang 农业学报 28, 1616<unk>1623 (2016).

3.Ton, Y. ADVANTAGES OF THE CONTINUOUS AROUND-THE-CLOCK MONITORING OF THE LEAF CO2 EXCHANGE IN PLANT RESEARCH AND IN CROP GROWING. 5

4.Jiang, Z. H., Zhang, J., Yang, C. H., Rao, Y. & Li, S. W. Comparison and Verification of Methods for Multivariate Statistical Analysis and Regression in Crop Modelling. in Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering (Atlantis Press, 2015). doi:10.2991/eame-15.2015.163

5.Ben-Asher, J., Garcia y Garcia, A. & Hoogenboom, G. Effect of high temperature on photosynthesis and transpiration of sweet corn (Zea mays L. var. rugosa). Photosynthetica 46, 595–603 (2008).

6.Schmidt, U., Huber, C. & Rocksch, T. EVALUATION OF COMBINED APPLICATION OF FOG SYSTEM AND CO2 ENRICHMENT IN GREENHOUSES BY USING PHYTOMONITORING DATA. Acta Horticulturae 1301–1308 (2008).

7.Qian, T. et al. Influence of temperature and light gradient on leaf arrangement and geometry in cucumber canopies: Structural phenotyping analysis and modelling. Information Processing in Agriculture (2018). doi:10.1016/j.inpa.2018.11.002

8.Uwe Schmidt, Ingo Schuch, Dennis Dannehl, Thorsten Rocksch & Sonja Javernik. Micro climate control in greenhouses based on phytomonitoring data.pdf.

9.Turgeman, T. et al. Mycorrhizal association between the desert truffle Terfezia boudieri and Helianthemum sessiliflorum alters plant physiology and fitness to arid conditions. Mycorrhiza 21, 623–630 (2011).

10.Ben-Asher, J., Nobel, P. S., Yossov, E. & Mizrahi, Y. Net CO2 uptake rates for Hylocereus undatus and Selenicereus megalanthus under field conditions: Drought influence and a novel method for analyzing temperature dependence. Photosynthetica 44, 181–186 (2006).

11.Zhaohui, J., Jing, Z., Chunhe, Y., Yuan, R. & Shaowen, L. Performance of classic multiple factor analysis and model fitting in crop modeling. Biol Eng 9, 8

12.Ojha, T., Misra, S. & Raghuwanshi, N. S. Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges. Computers and Electronics in Agriculture 118, 66–84 (2015).