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Journal of the Indian Society of Remote Sensing

, Volume 44, Issue 6, pp 875–883 | Cite as

Detection and Classification of Mosaic Virus Disease in Cassava Plants by Proximal Sensing of Photochemical Reflectance Index

  • Sadasivan Nair Raji
  • Narayanan SubhashEmail author
  • Velumani Ravi
  • Raju Saravanan
  • Changatharayil N. Mohanan
  • Thangaraj MakeshKumar
  • Sukumar Nita
Short Note

Abstract

Cassava Mosaic virus Disease (CMD) is the most severe and widespread virus infection that affects cassava (Manihot esculenta Crantz) crops. This paper investigates the application of photochemical reflectance index (PRI) imaging to detect and assess the impact of varying levels of CMD infection in cassava. Towards this, narrow band reflectance images of field-grown cassava plants were recorded at 531 and 571 nm by proximal sensing with a multispectral imaging system (MSIS). It was observed that the PRI values increase with increasing levels of CMD infection in all the varieties of cassava studied. A scatter plot of the PRI image intensity yielded a sensitivity of 85 % and specificity of 79 % for discriminating visibly no CMD from initial CMD and a sensitivity of 93 % and specificity of 92 % for discriminating initial CMD from advanced CMD. Area under the receiver operator characteristics (AUC-ROC) curve was used to discriminate the CMD infection level by differentiating visibly no CMD from initial CMD [AUC = 0.92] and initial CMD from advanced CMD [AUC = 0.99]. It was observed that PRI values determined from the experimental data follow a linear inverse relationship with net photosynthetic rate (Pn) (R 2 = 0.76) and total leaf chlorophyll (Chl) content (R 2 = 0.80). The results show that PRI imaging can be utilized to discriminate healthy plants from CMD and other stress infected crops by proximal sensing in outdoor plants.

Keywords

Photochemical reflectance index Proximal sensing Cassava mosaic disease Virus infection AUC-ROC 

Notes

Acknowledgments

This work was carried out as part of a collaborative project between National Centre for Earth Sciences (NCESS), Thiruvananthapuram and Central Tuber Crop Research Institute (CTCRI), Thiruvananthapuram with grants from the NCESS Plan-289 project. The authors are thankful to the Directors of NCESS and CTCRI, the project assistant (Renju Appukuttan), and the technical staff involved in the work for their encouragement and support. RSN acknowledges NCESS for her research fellowship.

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Copyright information

© Indian Society of Remote Sensing 2016

Authors and Affiliations

  • Sadasivan Nair Raji
    • 1
  • Narayanan Subhash
    • 1
    • 3
    Email author
  • Velumani Ravi
    • 2
  • Raju Saravanan
    • 2
  • Changatharayil N. Mohanan
    • 1
  • Thangaraj MakeshKumar
    • 2
  • Sukumar Nita
    • 1
  1. 1.National Center for Earth Science StudiesThiruvananthapuramIndia
  2. 2.Central Tuber Crops Research InstituteThiruvananthapuramIndia
  3. 3.Forus Health Pvt Ltd.BangaloreIndia

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