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Reseach Article

Application of Geoinformatics in Automated Crop Inventory

Published on August 2015 by Sandeep Kumar Singla, O. P. Dubey, R. D. Garg
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 11
August 2015
Authors: Sandeep Kumar Singla, O. P. Dubey, R. D. Garg
3fbddb41-e367-45f2-9036-bef9673e67b0

Sandeep Kumar Singla, O. P. Dubey, R. D. Garg . Application of Geoinformatics in Automated Crop Inventory. International Conference on Advancements in Engineering and Technology. ICAET2015, 11 (August 2015), 22-29.

@article{
author = { Sandeep Kumar Singla, O. P. Dubey, R. D. Garg },
title = { Application of Geoinformatics in Automated Crop Inventory },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 11 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 22-29 },
numpages = 8,
url = { /proceedings/icaet2015/number11/22284-4158/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Sandeep Kumar Singla
%A O. P. Dubey
%A R. D. Garg
%T Application of Geoinformatics in Automated Crop Inventory
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 11
%P 22-29
%D 2015
%I International Journal of Computer Applications
Abstract

An attempt has been made in this study to review the role of geoinformatics to discriminate different crops at various levels of classification, monitoring crop growth and prediction of the crop yield. The suitability of geoinformatics techniques suited to Indian conditions has also been assessed. Development in applications of computers and information technology has enhanced the capability of gathering huge and mottled data as well as information, ranging from historical data, ground truth values and aerial photography to satellite data. Thus remote sensing data and the information derived from it, is attractive to agricultural management system in the India. It is concluded that, in addition to the remote sensing technology, the use of many other techniques such as ground observations, reviews, GIS and soil analysis is highly appreciable.

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Index Terms

Computer Science
Information Sciences

Keywords

Remote Sensing Crop Yield Geoinformatics Gis Gps Rdbms Satellite Data Crop Inventory Crop Models.