IDEAS home Printed from https://ideas.repec.org/a/zib/zbimcs/v3y2020i2p25-26.html
   My bibliography  Save this article

Analysis Of Micro-Strip Patch Antenna For Wi-Fi Applications

Author

Listed:
  • Hangsa Raj Das

    (Department of Electronics and Communication Engineering, Cambridge Institute of Technology, Ranchi-835103, India)

  • Rajesh Dey

    (Department of Electronics and Communication Engineering, Brainware Group of Institutions-SDET, Kolkata-700125, India)

  • Sumanta Bhattacharya

    (Department of Electronics and Communication Engineering, Cambridge Institute of Technology, Ranchi-835103, India)

Abstract

Reliable and timely information regarding area under wheat and its yield prediction can help in better management of the commodity. The remotely sensed data especially in combination with Geographic Information System (GIS) can provide an important and powerful tool for both, land use land cover (LULC) classification and crop yield prediction. The study objectives include LULC classification and wheat yield prediction. The study was conducted for Rabi Season from Nov. 2011 to April 2012, in the command area of three distributaries i.e. Khurrian Wala, Killian Wala and Mungi of Lower Chennai Canal (LCC) system. The Landsat-7 imagery data with spatial resolution of 30 m was used for this study. Physical features were monitored and assessed using Normalized Difference Vegetative Index (NDVI). LULC classification was done for wheat and non-wheat area which shows wheat proportion and area 87.22% and 28867.95 Ha in Khurrian wala, 71.07% and 22423.20 Ha in Killian Wala and 79.18% and 17974.34 Ha in Mungi distributary, respectively. The correlation values between maximum NDVI value and yield data were 0.45, 0.36 and 0.39 for Khurrian Wala, Killian Wala and Mungi distributary, respectively. On the basis of this correlation, average wheat yield was estimated as 3.48 T/Ha, 3.83 T/Ha and 3.80 T/Ha for Khurrian Wala, Killian Wala and Mungi distributary, respectively.

Suggested Citation

  • Hangsa Raj Das & Rajesh Dey & Sumanta Bhattacharya, 2020. "Analysis Of Micro-Strip Patch Antenna For Wi-Fi Applications," Information Management and Computer Science (IMCS), Zibeline International Publishing, vol. 3(2), pages 25-26, December.
    • Handle: RePEc:zib:zbimcs:v:3:y:2020:i:2:p:25-26
    DOI: 10.26480/imcs.02.2020.25.26
    as

    Download full text from publisher

    File URL: https://theimcs.org/download/3100/
    Download Restriction: no
    File URL: https://libkey.io/10.26480/imcs.02.2020.25.26?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
    ---><---

    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:zbimcs:v:3:y:2020:i:2:p:25-26. 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://www.theimcs.org/ .

    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.