Show simple item record

dc.creatorBiradar, Chandrashekharen_US
dc.date2017-10-25en_US
dc.date.accessioned2018-10-13T16:08:43Z
dc.date.available2018-10-13T16:08:43Z
dc.identifierhttps://scisoc.confex.com/crops/2017am/webprogram/Paper109829.htmlen_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/3jkpKLOUen_US
dc.identifier.citationChandrashekhar Biradar. (25/10/2017). Remote Sensing for Inclusive Agro-Ecosystems and Development Alternatives for Sustainable Living. Tampa, United States.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/8480
dc.description.abstractInclusive agricultural development by reducing yield and nutritional gaps while safeguarding the ecosystem health and services is the keystone action for overall development for sustainable living. However, information on the location, timing, granularity, benchmarking, etc. (e.g., inter and intra field variability, drivers of low yields, crop sequence, risk factors, target areas) required for closing existing gaps collectively are not readily available. The quantification of agricultural production systems and associated parameters at much higher spatial details (pixels to farms and landscape scales) will help understand the causes of underperformance (e.g. crop sequence, soil nutrient base, crop protection, water use) to develop appropriate intervention packages (e.g., right seeds, IPM, cultural practices) to protection measures (e.g., integration, crop insurance, damage control). Recent advances in ultra-high resolution remote sensing, big-data analytics, machine learning and cloud computing along with smart phone enabled citizen science has opened tremendous opportunity to address the information gaps for demand-driven precision-decisions for successful interventions across the scale (e.g., space, time and package). These multidimensional and interactive information will help proper alignment of the factors at a manageable scale and affordable cost to target the interventions at right spot and right time which will eventually contribute to increasing overall agricultural productivity while saving inputs and safeguarding ecosystem health and services. Here we will demonstrate recent advances, opportunities, and few pilot use-cases of the high-resolution remote sending in an integrated agroecosystem research, application and outreach for building resilient and sustainable agro-ecosystems for better livelihoods and the planet.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherAmerican Society of Agronomyen_US
dc.rightsCC-BY-NC-4.0en_US
dc.titleRemote Sensing for Inclusive Agro-Ecosystems and Development Alternatives for Sustainable Livingen_US
dc.typeConference Paperen_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocremote sensingen_US
cg.subject.agrovocsustainable agricultureen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectGeoinformatics and Data Management for integrated agroecosystem research, development and outreachen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionGlobalen_US
cg.contactc.biradar@gmail.comen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttp://www.icarda.org/en_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


DSpace software copyright © 2002-2016  DuraSpace
Disclaimer:
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV