Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 2549-2557
DOI: https://doi.org/10.20546/ijcmas.2020.904.306


Hyperspectral Remote Sensing Technique to Detect Water Stress in Groundnut
Jagadeeswaran1* and Balajikannan2
1(SS&AC), Agricultural College and Research Institute, (Tamil Nadu Agricultural University), Kudumiyanmalai, Tamil Nadu, India
2(S&WCE), Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
*Corresponding author
Abstract:

Groundnut, an important oil seed crop largely grown under rainfed conditions in India. Uneven distribution and or failure of monsoon rain affects the plant growth and reduces the productivity When crop is subjected to water stress it closes the stomata leading to reduced photosynthesis. Detection of plant water stress and assessing the possible effect on the growth and yield of crop is often difficult and challenging. To study the effect of water stress on the spectral reflectance properties of Groundnut and to assess the water stress using hyperspectral indices, a pot culture experiment with groundnut variety CO-7 was conducted during 2016-17. In order to induce water stress, varying soil moisture regimes were created by altering the irrigation intervals as well as the quantity of water applied. The spectral reflectance measurement (using Spectroradiometer) along with soil moisture content (using TDR probe) and plant sampling were made on 45 days after sowing (DAS), 60 DAS and 75 DAS. The results revealed that the treatments had significant effect in inducing soil moisture stress as evident from varying soil moisture content at various stages. The relative water content (RWC) during 45 DAS was higher for control(86.5 %) followed by moisture stress at 70 % moisture depletion (81.0 %) and 90 % moisture depletion (74.1%), similar trend was observed for the 60 DAS and 75 DAS also and also with plant water content. The spectral indices viz., chlorophyll red_edge and Transformed Chlorophyll Absorption in Reflectance Index (TCARI)were related with relative water content of the plant at various dates of observation. RWC relates well with chlorophyll red_edge with a R2 value of 0.5072at 45 DAS and TCARI with a R2 value of 0. 6379 and 0.7657 during 60 and 75 DAS. Thus, the present study indicated that the spectral reflectance data can be used to assess the water stress conditions of groundnut.


Keywords: Groundnut water stress, Hyperspectral remote sensing, Spectral index, TCARI
Download this article as Download

How to cite this article:

Jagadeeswaran, R and Balajikannan. 2020. Hyperspectral Remote Sensing Technique to Detect Water Stress in Groundnut.Int.J.Curr.Microbiol.App.Sci. 9(4): 2549-2557. doi: https://doi.org/10.20546/ijcmas.2020.904.306