IDEAS home Printed from https://ideas.repec.org/a/zib/zbtrab/v1y2020i1p42-46.html
   My bibliography  Save this article

Land Suitability Evaluation Using Gis For Vegetable Crops At Sharadanagar, Chitwan, Nepal

Author

Listed:
  • D. M. Thapa

    (Institute of Agriculture and Animal Science, Rampur, Chitwan Nepal)

  • C.P. Shrivastav

    (Institute of Agriculture and Animal Science, Rampur, Chitwan Nepal)

  • S.C. Shah

    (Institute of Agriculture and Animal Science, Rampur, Chitwan Nepal)

  • K. Sah

    (Soil Science division, Nepal Agriculture Research Council, Khumaltar, Nepal)

Abstract

The present research was conducted at Chitwan district of Sharadanagar to evaluate land suitability integrating with Geographical Information System (GIS) technology-incorporates the multi criteria evaluations (MCE) and analytic hierarchy process (AHP) in 2014. Three major vegetable crops were selected for analysis viz. potato, cauliflower, and radish. Existing geo-data base from National Land Use planning was used and analyzed. The physical suitability was performed by vector-based index modeling in GIS taking soil, land capabilities and land use database into account. The relative importance of each main criterion was determined using AHP procedure. In final model soil, land capability class and land use were given 0.65%, 0.24% and 0.09% weight, respectively having CI of

Suggested Citation

  • D. M. Thapa & C.P. Shrivastav & S.C. Shah & K. Sah, 2020. "Land Suitability Evaluation Using Gis For Vegetable Crops At Sharadanagar, Chitwan, Nepal," Tropical Agrobiodiversity (TRAB), Zibeline International Publishing, vol. 1(1), pages 42-46, September.
    • Handle: RePEc:zib:zbtrab:v:1:y:2020:i:1:p:42-46
    DOI: 10.26480/trab.01.2020.42.46
    as

    Download full text from publisher

    File URL: https://trab.org.my/download/1496/
    Download Restriction: no
    File URL: https://libkey.io/10.26480/trab.01.2020.42.46?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shaloo & Rishi Pal Singh & Himani Bisht & Rajni Jain & Truptimayee Suna & Ram Swaroop Bana & Samarth Godara & Yashbir Singh Shivay & Nirupma Singh & Jatin Bedi & Shbana Begam & Manisha Tamta & Shweta , 2022. "Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India," Sustainability, MDPI, vol. 14(9), pages 1-21, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbtrab:v:1:y:2020:i:1:p:42-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing (email available below). General contact details of provider: https://trab.org.my/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.