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  1. KRISHI Publication and Data Inventory Repository
  2. Crop Science A5
  3. ICAR-Directorate of Rapeseed and Mustard Research F6
  4. CS-DRMR-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/12059
Title: Hyperspectral imaging: A potential tool for monitoring crop infestation, crop yield and macronutrient analysis, with special emphasis to Oilseed Brassica
Other Titles: Not Available
Authors: Abhinav Kumar, V Bharti, Vinod Kumar, Upendra Kumar and PD Meena
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, India
ICAR-Directorate of Rapeseed Mustard Research, Bharatpur, Rajasthan, India
Published/ Complete Date: 2016-07-11
Project Code: Not Available
Keywords: Crop infestation, crop yield, hyperspectral imaging, macronutrient analysis, oilseed rape
Publisher: Society for Rapeseed-Mustard Research, Bharatpur
Citation: 2
Abstract/Description: Due to increase in human population at an alarming rate, there is tremendous pressure on the agriculture sector for increasing production of agricultural commodities. Oilseed Brassica is an important oilseed crops in India. Although, India occupies third position with about 10.3 % share in the acreage, and production of rapeseed-mustard in the world after China, and Canada, with the average yield of 1188 kg per hectare, which is low as compared to world average 1994 kg/ha. The major reasons for low exploitable yield are infestation by various pathogens, and pests, improper weed management, degradation of soils due to excessive use of pesticides, fertilizers, and emerging pesticide resistance. Hyperspectral imaging system (HIS), also known as imaging spectroscopy or 3D spectroscopy, combines imaging, and spectroscopy into a single system. Through its multi-spectral, multi-temporal, and multi-resolution observation capability, the technology provides an alternative to traditional methods for facilitating sustainable agriculture by mapping, and monitoring the agricultural situation, retrieval of biophysical parameter, and management/ decision support for agricultural development. For oilseed rape, the technology has been found to be useful for disease forecasting, monitoring infestation induced damages, predicting seed yield, detection of fungal pathogens, weeds and macronutrient analysis for monitoring fertilizer application.
Description: Not Available
ISSN: 0976 - 1454
Type(s) of content: Article
Sponsors: Not Available
Language: English
Name of Journal: Journal of Oilseed Brassica
NAAS Rating: 4.77
Volume No.: 7(2)
Page Number: 113-125
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: Not Available
URI: http://krishi.icar.gov.in/jspui/handle/123456789/12059
Appears in Collections:CS-DRMR-Publication

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