Mapping and monitoring of food legumes and dryland cereal production systems
MELSpace
View Archive InfoField | Value | |
Title |
Mapping and monitoring of food legumes and dryland cereal production systems
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Creator |
Patil, Prashant
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Contributor |
Biradar, Chandrashekhar
Atassi, Layal Moussadek, Rachid Kharrat, Mohamed Singh, Murari Andaloussi, Fouad Abbad Agrawal, Shiv Kumar |
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Description |
Mapping and monitoring of the agricultural production systems on a regular interval provide important spatial matrix on the status, trend, and options for effective intervention at multiple scales. The recent advances in agrogeoinformatics bigdata enriched with increasing openaccess protocols become an integral part of solving the food security equation. This paper demonstrates use of an integrated earth observation system (EOS) for mapping and monitoring major agricultural production systems. The approach uses multitemporal and multiscale remote sensing data coupled with insitu observation to map the legume and cereal production systems. The support vector machine (SVM) classification was found to be the best with overall classification accuracy of 82%. The insitu data on crop grain and straw yields were measured using nested sampling approach. The best fit equation of yield values were regressed with remote sensing indices (NDVI and EVI). The significant correlation (R ) value of cereal and lentil crop were 0.74 and 6.9 at p |
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Date |
2015-07-20
2016-09-20T11:16:32Z 2016-09-20T11:16:32Z |
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Type |
Conference Paper
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Identifier |
https://mel.cgiar.org/dspace/limited
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7248158 Prashant Patil, Chandrashekhar Biradar, Layal Atassi, Rachid Moussadek, Mohamed Kharrat, Murari Singh, Fouad Abbad Andaloussi, Shiv Kumar Agrawal. (20/7/2015). Mapping and monitoring of food legumes and dryland cereal production systems. Istanbul, Turkey. https://hdl.handle.net/20.500.11766/4930 Timeless limited access |
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Language |
en
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Rights |
CC-BY-NC-4.0
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Format |
PDF
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Publisher |
IEEEXPLORE
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Source |
Fourth International Conference on Agro-Geoinformatics IEEE Explore, Agro-Geoinformatics 2015;
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