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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/47057
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: | ICAR-DRMR, Bharatpur |
Published/ Complete Date: | 2017-07-01 |
Project Code: | Not Available |
Keywords: | Crop infestation, crop yield, hyperspectral imaging, macronutrient analysis, oilseed rape |
Publisher: | Society for Rapeseed-Mustard Research, Bharatpur |
Citation: | Not Available |
Series/Report no.: | Not Available; |
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: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Oilseed Brassica |
Journal Type: | Peer Reviewed |
NAAS Rating: | 4.77 |
Volume No.: | 7 |
Page Number: | 113-125 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://srmr.org.in/ojs/index.php/job/article/view/132 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/47057 |
Appears in Collections: | CS-DRMR-Publication |
Files in This Item:
File | Description | Size | Format | |
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AbhinavKumaretal_2016_JOB_7_2_113-125.pdf | 122.94 kB | Adobe PDF | View/Open |
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