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dc.contributorZhang, Gelien_US
dc.contributorXiao, Xiangmingen_US
dc.contributorDong, Jinweien_US
dc.contributorSingh, R.en_US
dc.contributorSarker, Ashutoshen_US
dc.contributorSingh, Murarien_US
dc.contributorAtassi, Layalen_US
dc.contributorEl-Shamaa, Khaleden_US
dc.contributorSahrawat, Kanwar Lalen_US
dc.contributorNoble, Andrewen_US
dc.creatorBiradar, Chandrashekharen_US
dc.identifier.citationChandrashekhar Biradar, Geli Zhang, Xiangming Xiao, Jinwei Dong, R. Singh, Ashutosh Sarker, Murari Singh, Layal Atassi, Khaled El-Shamaa, Kanwar Lal Sahrawat, Andrew Noble. (20/7/2016). Spatial big-data analytics for agricultural intensification and crop diversification in rice fallows.en_US
dc.description.abstractSupply-demand gap of agricultural commodities continues to rise while total arable land area is not expected to increase significantly in India. Future increases in agricultural production will be contingent upon agricultural intensification. One such intensification opportunity lies in the potential use of rice-fallows. Along with other constraints in the use of fallows, lack of updated and timely information is one of the major constraints in understanding the spatio-temporal dynamics of crop production- its spatial distribution, pattern, extent, intensity, duration, rotation and feasibility. Cropping systems dynamics varies across agro-ecosystems, mostly driven by climate, markets, and agronomic/cultural practices. Consequently, there is a need to establish a digital decision system which provides accurate and timely information that would facilitate the development of appropriate intervention packages that consist of improved- crop varieties, inputs use efficiency, nutrient balance, and agronomic practices. Near-real-time satellite remote sensing along with climate and in-situ observations will accelerate interventions and decision making by capitalizing upon input use efficiency; invests in sustainable land, water, crop and management practices; that will promote sustainable resource use and enhance livelihoods. The overarching focus is the development of an interactive digital-agriculture platform (e.g., that contributes to the emergence of sustainable intensification of pulses and allied crops.en_US
dc.titleSpatial big-data analytics for agricultural intensification and crop diversification in rice fallowsen_US
dc.typeConference Paperen_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idSarker, Ashutosh: 0000-0002-9074-4876en_US
cg.creator.idSingh, Murari: 0000-0001-5450-0949en_US
cg.creator.idAtassi, Layal: 0000-0002-7271-7591en_US
cg.creator.idEl-Shamaa, Khaled: 0000-0002-7668-3798en_US
cg.subject.agrovoccrop productionen_US
cg.subject.agrovoccropping systemsen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Oklahoma, Center for Spatial Analysis - OU - CSAen_US
cg.contributor.centerUniversity of Oklahoma, College of Arts and Sciences - OU - CASen_US
cg.contributor.centerIndian Council of Agricultural Research, National Bureau of Soil Survey and Land Use Planning - ICAR- NBSS&LUPen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerInternational Water Management Institute - IWMIen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionSouthern Asiaen_US
dc.identifier.statusOpen accessen_US

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