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dc.contributorZhang, Gelien_US
dc.contributorXiao, Xiangmingen_US
dc.contributorDong, Jinweien_US
dc.contributorSingh, R.en_US
dc.contributorOmary, Jalalen_US
dc.contributorAtassi, Layalen_US
dc.contributorNoble, Andrewen_US
dc.creatorBiradar, Chandrashekharen_US
dc.identifier.citationChandrashekhar Biradar, Geli Zhang, Xiangming Xiao, Jinwei Dong, R. Singh, Jalal Omary, Layal Atassi, Andrew Noble. (19/4/2016). Spatial BigData Analytics for intensification of pulses. Marrakesh, Morocco.en_US
dc.description.abstractSupply-demand gap of agricultural commodities continues to rise while total arable land area is not expected to increase significantly. Future increases in agricultural production, particularly pulses, will be contingent upon agricultural intensification. One such intensification opportunity lies in the potential use of pulses in crop-fallows (e.g., rice fallows, accounts ~12 million ha in India alone) and other cropping g systems in different countries. 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. An important input into these analytics is the Earth Observation Systems and big-data analytics to assist in the identification and prioritize extrapolation domains for pulses across the spatio-temporal scales. Near-real-time satellite remote sensing along with climate and in-situ observations (meteorological stations and cell phones) 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.publisherInternational Center for Agricultural Research in Dry Areasen_US
dc.titleSpatial BigData Analytics for intensification of pulsesen_US
dc.typeConference Proceedingsen_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idAtassi, Layal: 0000-0002-7271-7591en_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.centerIndian Council of Agricultural Research, National Bureau of Soil Survey and Land Use Planning - ICAR- NBSS&LUPen_US
cg.contributor.funderInternational Livestock Research Institute - ILRIen_US
cg.contributor.projectAfrica RISING (Research in Sustainable Intensification for the Next Generation) PVS Barley and Faba Beanen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionSouthern Asiaen_US
dc.identifier.statusOpen accessen_US
mel.sub-typeOther (Conference Proceedings)en_US

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