Remote Sensing in Agriculture

Author: Anindya Sundar Ray

ijeab doi crossref DOI: 10.22161/ijeab/1.3.8

Keyword: Remote Sensing, Agriculture, canals, wildlife.

Abstract: Remote sensing is defined as the art and science of gathering information about objects or areas from a distance without having physical contact with objects/areas being investigated. Remote sensing is the science and technology of making inferences about material objects from measurement made at a distance without coming into physical contact with the object under study. Remote sensing is a tool to monitor the earth’s resources using space technology in addition to ground observations. Remote sensing is the science and technology of making inferences about material objects from measurement made at a distance without coming into physical contact with the object under study. Spectral signature of any object that detect by remote sensing is the main principle. Remote sensing technology uses the visible, infrared and microwave regions of radiation to collect information about the various objects on the earth surface. The responses of the objects of different regions of the electromagnetic spectrum are different. The typical responses are used to distinguish object such as vegetation, water, bare soil, concert and other similar features. Remote sensing is two types viz, active and passive remote sensing. Passive remote sensing: It makes use of seasons that detects the reflected/emitted electromagnetic radiation natural sources. Active remote sensing: It makes the use of seasons that detects reflected responses from object that are irradiated from artificially generated energy sources, such as radar. There are three types of platforms-air based, ground based and satellite based. The various applications of remote sensing in agriculture are- crop condition monitoring, detection of plant stress, vegetative indices, canopy transmission and crop stress, cropping system analysis, application on forestry, drought monitoring and its assessment, flood mapping and its assessment, ground water exploration, storm and flood warning, water availability and location of canals, wildlife inventory and fire surveillance etc.

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Cite this Article:

MLA

Anindya Sundar Ray et al."Remote Sensing in Agriculture". International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878),vol 1, no. 3, 2016, pp.362-367 AI Publications doi:10.22161/ijeab/1.3.8

APA

Anindya Sundar Ray, P.(2016).Remote Sensing in Agriculture. International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878).1(3), 362-367.10.22161/ijeab/1.3.8

Chicago

Anindya Sundar Ray, P.(2016).Remote Sensing in Agriculture. International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878).1(3), pp.362-367.

Harvard

Anindya Sundar Ray. 2016."Remote Sensing in Agriculture". International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878).1(3):362-367.Doi:10.22161/ijeab/1.3.8

IEEE

Anindya Sundar Ray."Remote Sensing in Agriculture", International Journal of Environment Agriculture and Biotechnology,vol.1,no. 3, pp.362-367,2016.

Bibtex

@article { anindyasundarray2016remote,
title={Remote Sensing in Agriculture},
author={Anindya Sundar Ray , R},
journal={International Journal of Environment Agriculture and Biotechnology},
volume={1},
year= {2016} ,
}