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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(11): 407-423
DOI: https://doi.org/10.20546/ijcmas.2019.811.051


Evaluating the Variables for Banana (Musa Sp.) Crop Intensification in Theni District, Southern India using Multi-Criteria based GIS Analysis
R.M. Vijayakumar1*, L. Gnanappazham2*, C.B. Manjunath1, M. Kavino3, R. Jagadeeswaran4, S. Ramsubramoniam5 and P. Jeyakumar6
1Department of Fruit Crops, Horticulture College and Research Institute, Tamil Nadu Agricultural University, Coimbatore- 641 003, Tamil Nadu, India
2Department of Earth & Space Sciences, Indian Institute of Space Science & Technology, Department Of Space, Govt. of India, Valiamala, Thiruvananthapuram-695 547,
Kerala, India
3Department of Fruit Crops, Horticultural College and Research Institute, Tamil Nadu Agricultural University, Kamatchipuram, Periyakulam Tamil Nadu 625604, India
4Department of Soil Science and Analytical Chemistry, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Kudumiyanmalai,Pudukottai District Tamil Nadu 622104, India
5Regional Remote Sensing Centre (South), ISRO, I-Site Campus, Marthahalli, Bangalore-560 037 Karnataka, India
6Department of crop physiology, Tamil Nadu Agricultural University, Coimbatore- 641 003, Tamil Nadu, India
*Corresponding author
Abstract:

Increasing population stresses the need for crop intensification per unit area of land to meet the demand. Over exploitation of natural resources leads to irreversible damage to crop production eco-systems. A multi-criteria decision model (MCDM) to assess the parameters contributing to intensification leads to proper utilization of resources. This manuscript presents the findings of Analytical Hierarchical Process (AHP) derived advanced decision model Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) for evaluating the contributing intensification parameters comprising slope, soil, precipitation and socio-economic indicators for banana plantation in Theni district, Tamil Nadu, India. The location of production areas has direct relation with crop collection centers, cold storage units and market access indicating that intensification is influenced by these parameters. TOPSIS derived crop suitability map is in cohesion with crop cover map of the study area. The analysis reveals that banana area in 2016-17 was 307 hectares and in 412 hectares in 2017 – 2018 & Banana intensified area was about 49 hectares for 2016, 2017 and 2018. Topsis analysis has revealed that an area of 43732 ha is suitable for banana wherein average 14575 hectares is under banana cultivation hence an area of 29200 is available for intensification with suitable interventions.


Keywords: Crop intensification, Banana crop, Multi-Criteria Decision Model (MCDM)
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How to cite this article:

Vijayakumar, R.M., L. Gnanappazham, C.B. Manjunath, M. Kavino, R. Jagadeeswaran, S. Ramsubramoniam and Jeyakumar, P. 2019. Evaluating the Variables for Banana (Musa Sp.) Crop Intensification in Theni District, Southern India using Multi-Criteria based GIS Analysis.Int.J.Curr.Microbiol.App.Sci. 8(11): 407-423. doi: https://doi.org/10.20546/ijcmas.2019.811.051