Skip to main content
SpringerLink
Log in
Book cover

Advancement in Materials, Manufacturing and Energy Engineering, Vol. I pp 11–19Cite as

Multispectral Imaging for Identification of Water Stress and Chlorophyll Content in Paddy Field Using Vegetation Indices

  • Conference paper
  • First Online:

  • 653 Accesses

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The characteristics of the agricultural plants can be identified with the help of multispectral imaging technique. The wavelength of the light determines the color of the object in scene. The proposed method uses multispectral imaging to access paddy crop quality parameters such as chlorophyll content in leaves and water stress. A qualitative analysis is made through comparison with the reference methods, and the necessary correlation is obtained. The proposed method provides a reliable, non-destructive, flexible, and fast quality assessment technique for improving the yield of the paddy crop. Based on the results, the variability in the field is identified, and input materials are suggested as needed. The data can be mapped to identify the chlorophyll content in the leaf, wherein the vegetation indices and the color mapping was found to successfully identify the water stress during the different month of cultivation.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Kinkaid E (2020) Trent brown: farmers, subalterns, and activists: social politics of sustainable agriculture in India. Agric Hum Values 37:929–930. https://doi.org/10.1007/s10460-020-10033-9

    Article  Google Scholar 

  2. Porporato A, Daly E, Rodriguez-Iturbe I (2004) Soil water balance and ecosystem response to climate change. Am Nat 164:625–632

    Article  Google Scholar 

  3. Campbell JB (1987) Introduction to remote sensing (1987). Fung T Drew E PERS 53:1649–1658

    Google Scholar 

  4. Ripple WJ (1986) Spectral reflectance relationships to leaf water stress. Photogr Eng Remote Sens 52:1669–1675. (ISNN 0099–1112)

    Google Scholar 

  5. Valente J, Sanz D, Barrientos A, del Cerro J, Ribeiro A, Rossi C (2011) An air-ground wireless sensor network for crop monitoring. Sensors 11(6):6088–6108

    Article  Google Scholar 

  6. Zhang G, Xiao X, Dong J, Kou W, Jin C, Qin Y, Biradar C (2015) Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data. ISPRS J Photogr Remote Sens 106:157–171

    Article  Google Scholar 

  7. Ghulam A, Li Z-L, Qin Q, Yimit H, Wang J (2008) Estimating crop water stress with ETM + NIR and SWIR data. Agric For Meteorol 148:1679–1695

    Article  Google Scholar 

  8. Kim HJ (2006) Combined use of vegetation and water indices from remotely-sensed AVIRIS and MODIS data to monitor riparian and semiarid vegetation. The University of Arizona, Tucson (AZ)

    Google Scholar 

  9. Nguy-Robertson A, Gitelson A, Peng Y, Viña A, Arkebauer T, Rundquist D (2012) Green leaf area index estimation in maize and soybean: combining vegetation indices to achieve maximal sensitivity. Agro J Abs—Biometry, Model Stat 104(5):1336–1347

    Google Scholar 

  10. Mukherjee A, Misra S, Raghuwanshi NS (2019) A survey of unmanned aerial sensing solutions in precision agriculture. J Netw Comput Appl 148:1–24

    Article  Google Scholar 

  11. Kogan FN (1995) Application of vegetation index and brightness temperature for drought detection. Adv Space Res 15:91–100

    Article  Google Scholar 

  12. Xiao X, Boles S, Liu J, Zhuang D, Frolking S, Li C, Salas W, Moore B III (2005) Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sens Environ 95:480–492

    Article  Google Scholar 

  13. Abdullah S, Tahar KN, Rashid MFA, Osoman MA (2019) Camera calibration performance on different non-metric cameras. Pertanika J Sci Technol 27(3):1397–1406

    Google Scholar 

  14. Wang K, Huggins DR, Tao H (2019) Rapid mapping of winter wheat yield, protein, and nitrogen uptake using remote and proximal sensing. Int J Appl Earth Obs Geoinf 82:1–10

    Article  Google Scholar 

  15. Fu Y, Yang G, Wang J, Song X, Feng H (2014) Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements. Comput Electron Agric 100:51–59

    Article  Google Scholar 

  16. Verger A, Vigneau N, Chéron C, Gilliot JM, Comar A, Baret F (2014) Green area index from an unmanned aerial system over wheat and rapeseed crops. Remote Sens Environ 152:654–664

    Article  Google Scholar 

  17. Madhura S, Suresh K (2020) A new parallel DSP hardware compatible algorithm for noise reduction and contrast enhancement in video sequence using Zynq-7020. Int J Comput Aided Eng Technol 13(1/2):14–27

    Google Scholar 

  18. Madhura S, Suresh K (2016) Adaptive spatio-temporal filtering with motion estimation for mixed noise removal and contrast enhancement in video sequence. In: FICTA-2016 and publication in Springer AISC series, 16, 17 Sept, Bhuvaneshwar, Odisha

    Google Scholar 

  19. Smitha TV, Nagaraja KV (2019) Application of automated cubic-order mesh generation for efficient energy transfer using parabolic arcs for microwave problems. Energy 168:1104–1118

    Article  Google Scholar 

  20. Smitha TV, Nagaraja KV (2019) An efficient automated higher-order finite element computation technique using parabolic arcs for planar and multiply-connected Energy problems. Energy 183:996–1011

    Article  Google Scholar 

  21. Jayanth KG, Boddapati V, Geetha RS (2018) Comparative study between three-leg and four-leg current-source inverter for solar PV application. In: Proceedings of the 2018 international conference on power, instrumentation, control and computing (PICC), Thrissur, India, 18–20 Jan 2018. https://doi.org/10.1109/PICC.2018.8384793

  22. Boddapati V, Sathesh Kumar T, Prakash N et al. Current droop control of parallel inverters in an autonomous microgrid. Mater Today: Proc. https://doi.org/10.1016/j.matpr.2020.09.496

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, RV Institute of Technology and Management, Bangalore, 560076, India

    S. Madhura

  2. Department of Mathematics, RV Institute of Technology, Bangalore, 560076, India

    T. V. Smitha

Authors
  1. S. Madhura
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. V. Smitha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Madhura .

Editor information

Editors and Affiliations

  1. School of Earth and Atmospheric Science, Queensland University of Technology, Brisbane, QLD, Australia

    Puneet Verma

  2. Department of Mechanical Engineering, Federal University of Petroleum Resource, Effurun, Nigeria

    Olusegun D. Samuel

  3. Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, Bhopal, India

    Tikendra Nath Verma

  4. Energy Centre, Maulana Azad National Institute of Technology, Bhopal, Bhopal, India

    Gaurav Dwivedi

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Madhura, S., Smitha, T.V. (2022). Multispectral Imaging for Identification of Water Stress and Chlorophyll Content in Paddy Field Using Vegetation Indices. In: Verma, P., Samuel, O.D., Verma, T.N., Dwivedi, G. (eds) Advancement in Materials, Manufacturing and Energy Engineering, Vol. I. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-5371-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-5371-1_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5370-4

  • Online ISBN: 978-981-16-5371-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation