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http://krishi.icar.gov.in/jspui/handle/123456789/26757
Title: | Geospatial approach to assess the impact of nutrients on rice equivalent yield using MODIS sensors'-based MOD13Q1-NDVI data |
Other Titles: | Not Available |
Authors: | Prem Chandra Pandey, Member, IEEE,VinayP. Mandal, Swati Katiyar, Pavan Kumar, Member, IEEE,Vandana Tomar, Sashikanta Patairiya, Natesan. Ravisankar and Babujee Gangwa |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | University of Leicester, Centre for Landscape and Climate Research, Department of Geography, Leicester ICAR::Indian Institute of Farming Systems Research |
Published/ Complete Date: | 2015-03-01 |
Project Code: | Not Available |
Keywords: | Spatial Interpolation; Nutrient inconsistency; Rice Equivalent Yield; Environmental factors. |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Crop productivity is a major concern all over the world to provide food security, resulting in thegreen revolution. It is noteworthy that the fertilizer implemented to farmland leads to more desirable cropping patterns. Utilization of agricultural land efficiently for the crop production requires knowledge of the nutrient inconsistency. This paper has presented the power of geomatics, to retrieve the synoptic and substantial changes in cropping pattern. Results and interpretations leadto the evaluation of the contemporaneous cropping systems. After a major yield parameter scrutiny for crops (Rice, Wheat, Sugarcane and Onion) the magnificent accelerations were suggested. Results demonstrated a correlation r2 value of 0.834 with the estimated crop yield and NDVI. The REY (Rice Equivalent Yield)is highest at range 17-21 t/ha in the North, central and southern lower part, lowest at the western part ranging from 7-12 t/ha, with some part with 12-14 t/ha while the most of the eastern part of the study site has shown the REY values ranging from 14 to 17 t/ha. The surveyed information like pH, EC and organic carbon of the soil specimen were used to examine the spatial discrepancies of rice-based cropping system's productivity. Ultimately the spatial-temporal maps of fertilization pattern, yield parameters (e.g. N, P, and K) and relational REY observation were illustrated using spatial interpolation. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | IEEE Sensors Journal |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | 10.1109/JSEN.2015.2451113 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/26757 |
Appears in Collections: | NRM-IIFSR-Publication |
Files in This Item:
File | Description | Size | Format | |
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11-2015-16.pdf | 2.11 MB | Adobe PDF | View/Open |
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