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Mapping and monitoring of food legumes and dryland cereal production systems

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Title Mapping and monitoring of food legumes and dryland cereal production systems
 
Creator Patil, Prashant
 
Contributor Biradar, Chandrashekhar
Atassi, Layal
Moussadek, Rachid
Kharrat, Mohamed
Singh, Murari
Andaloussi, Fouad Abbad
Agrawal, Shiv Kumar
 
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
 
Date 2015-07-20
2016-09-20T11:16:32Z
2016-09-20T11:16:32Z
 
Type Conference Paper
 
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
 
Language en
 
Rights CC-BY-NC-4.0
 
Format PDF
 
Publisher IEEEXPLORE
 
Source Fourth International Conference on Agro-Geoinformatics IEEE Explore, Agro-Geoinformatics 2015;