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dc.contributor.author Volkova, Anastasia
dc.date.accessioned 2021-07-12T05:47:22Z
dc.date.available 2021-07-12T05:47:22Z
dc.date.issued 2019-06
dc.identifier.uri http://hdl.handle.net/1/4884
dc.description.abstract FluroSense crop analytics and decision support platform has been enhanced with work-ready nutrient mapping and recommendation workflows, accessible for cotton grower via data integrations with major farm management systems. The nutrient recommendations combine the science from widely accepted in Australian cotton industry tool NutriLOGIC/CottAssist with remote sensing imagery and sampling data from grower’s won fields. The growers’ data is used for additional calibration of the nitrogen recommendation to achieve higher accuracy through model localisation. The workflows for generation of management zones, suggested sampling points and derivation of the machinery-ready shape file with nitrogen recommendations are near-real-time, and are highly automated providing growers with the timely, tailored decision support, that has not been available to date. The evident benefits for the growers and advisors are in the easy of use, shorter turnaround for generation of recommendations and savings on inputs from early detection and crop stress mitigation. The case studies with progressive Australian cotton growers and agronomists demonstrate the willingness of the industry to adopt science based decision support tools, such as FluroSense, and the benefit that can be achieved from variable rate input application and improved yield through more accurate timely management. en_US
dc.description.sponsorship Cotton Research & Development Corporation en_US
dc.publisher FluroSat Pty Ltd en_US
dc.relation.ispartofseries FLUR1901;
dc.title The platform for monitoring and analysis of cotton canopy nitrogen status and yield projection using calibrated aerial and satellite imagery (Phase 2, incorporation of NutriLOGIC) en_US
dc.type Technical Report en_US


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