Remote sensing-based precision agriculture tools for the sugar industry : SRDC Final report DPI021

dc.contributorQueensland Department of Agriculture, Fisheries and Forestry
dc.contributorUniversity of New England
dc.contributorPrecision Agriculture Research Group
dc.contributorCSIRO Ecosystem Sciences
dc.contributor.authorRobson, A
dc.contributor.authorAbbott, C
dc.contributor.authorBramley, R
dc.contributor.authorLamb, D
dc.date.accessioned2013-09-26T01:35:32Z
dc.date.available2013-09-26T01:35:32Z
dc.date.issued2013
dc.description.abstractThis project aimed to develop remote sensing applications that were both relevant and of commercial benefit to the Australian sugar industry and therefore adoptable. Such applications included the in season mapping of crop vigour so as to guide future management strategies, the identification of specific abiotic and biotic cropping constraints, and the conversion of GNDVI variability maps into yield at the block, farm and regional level. In order to achieve these applications the project team reviewed an array of remote sensing platforms, timing of imagery capture, software and analysis protocols; as well as distribution formats of derived imagery products, to a range of end users. The project developed strong collaborative linkages with all levels of the industry including mills, productivity services, agronomists, growers and researchers and increased its initial coverage from three individual farms in Bundaberg, Burdekin and the Herbert, coinciding with project CSE022, to include over 33,000 crops grown across 6 growing regions (Mulgrave, Herbert, Burdekin, Bundaberg, ISIS and Condong) during the 2011/2012 season.
dc.identifier.urihttp://hdl.handle.net/11079/12504
dc.language.isoenen
dc.relation.ispartofseriesInternal Report; 2013 DPI021
dc.relation.urihttp://hdl.handle.net/11079/14315
dc.subjectPrecision agriculture
dc.subjectImagery assessment
dc.subjectOptimum time of image capture
dc.subjectOptimal image processing and delivery protocols
dc.subjectRemote sensing (RS) technologies
dc.subjectSpatial variability
dc.subjectYield prediction
dc.subjectYield maps
dc.subjectGeneric yield algorithm
dc.subjectOptimum time of image capture
dc.subjectSpatial technologies
dc.subjectFarming systems
dc.subjectProduction management
dc.titleRemote sensing-based precision agriculture tools for the sugar industry : SRDC Final report DPI021

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