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Hyperspectal Remote Sensing for Agriculture: A Review

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Pooja Vinod Janse, Ratnadeep R. Deshmukh

Pooja Vinod Janse and Ratnadeep R Deshmukh. Hyperspectal Remote Sensing for Agriculture: A Review. International Journal of Computer Applications 172(7):30-34, August 2017. BibTeX

	author = {Pooja Vinod Janse and Ratnadeep R. Deshmukh},
	title = {Hyperspectal Remote Sensing for Agriculture: A Review},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {172},
	number = {7},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {30-34},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017915185},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Hyperspectral remote sensing is used for wide range of application. Hyperspectral data provides more than 200 narrow wavelength bands which provide significant information about all biological and chemical properties of material. Hyperspectral remote sensing is widely used in various applications like agricultural and soil research, mining application, crop management application, drought condition assessment, plant species classification, water body analysis, mineral analysis etc. This paper mainly reviews the concept of hyperspectral remote sensing; processing of hyperspectral data; different vegetation indices defined by researcher; the applications of hyperspectral data for agricultural.


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Hyperspectral data, Remote sensing, Spectral reflectance, Agriculture, Crop classification, Vegetation Index.