Farming systems and production management

Permanent URI for this collectionhttp://elibrary2.sugarresearch.com.au/handle/11079/13844

Research outcomes: Growers and harvesters benefit from the ongoing research in productivity improvement, production management and agronomical techniques. Developed technologies and management practices that enhance productivity and demonstrate a high rate of return on investment.

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Start date: 2010Subject: search.filters.subject.Precision agriculture

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Now showing 1 - 6 of 6
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    Accelerating precision agriculture to decision agriculture: the needs and drivers for the present and future of digital agriculture in Australia
    (Commonwealth Scientific and Industrial Research Organisation, 2017) Zhang, A; Baker, I; Jakku, E; Llewellyn, R
    The aim of the project was to benchmark Australian producers’ needs, perceived risks and benefits, and expectations associated with digital agriculture and big data context. Such understanding will inform strategies aimed at 1) better utilising agricultural data to enhance productivity and profitability, and 2) better capitalising on the opportunities created by digital agriculture and big data. In consultation with P2D project members and participating RDCs, CSIRO designed the survey questionnaire and conducted a survey of 1000 producers across 17 agricultural industries during the period of 7 March to 18 April 2017. The sampling specifications for each industry was defined in consultation with relevant participating RDCs. The study investigated producers’ needs, perceived risks and benefits, and expectations from three aspects: telecommunication infrastructure, the status of current data collection, and data sharing and concerns in the big data context.
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    Accelerating precision agriculture to decision agriculture : a review of on-farm telecommunications challenges and opportunities in supporting a digital agriculture future for Australia
    (University of New England, 2017) Lamb, DW
    This project is supported by funding from the Australian Government Department of Agriculture and Water Resources as part of its Rural R&D for Profit programme. The P2D project involves all Rural Research and Development Corporations, and is focused on three main aims: facilitating the development of digital technology in Australian agriculture; fostering the establishment of appropriate legal frameworks, data systems and access to critical datasets; identifying the data communications systems required to deliver the benefits of digital agriculture to the Australia farm and agribusiness sectors.
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    A collaborative approach to Precision Agriculture RDE for the Australian Sugar Industry : Final report CSE022
    (Sugar Research Australia Limited, 2014) Bramley, R; Schroeder, B; Baillie, C
    Strong sugar industry interest in Precision Agriculture (PA) has developed during the 2000s on the back of considerable progress with PA in other Australian agricultural sectors (grains and wine in particular), attempts in the Herbert (HCPSL and partners), and more recently in other districts, to develop a regional harvest management and yield mapping capability, and increased support for initiatives deemed of value in minimising possible impacts of sugarcane production on the Great Barrier Reef, including the provision of grants to growers for the purchase of GPS guidance systems and variable rate controllers for fertilizer spreaders. Against this background, the then Sugar Research and Development Corporation commissioned the reviews contained in SRDC Technical report 3/2007. A subsequent workshop held to mark the delivery of these reviews identified a number of PA-related R+D priorities which collectively could be characterised as being aimed at properly positioning the sugar industry for appropriate PA adoption, supported by access to the necessary technology, skills, methodological protocols and case studies. This project emerged from that process. Its intended focus, was to be based around core field sites in the Bundaberg, Burdekin and Herbert districts which were established with the intent of both PA research and demonstration.
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    Automating harvester and haulout forward progression during harvest utilizing DGPS : SRA Grower Group Innovation Project final report
    (2010) Granshaw, B
    Issue: The issue that this project sought to address was to increase the performance of the harvester and haul-out during forward progression. This issue has ramifications through the entire sugar value chain as losses at this point are unrecoverable and the financial losses are spread across the industry and community. It is increasingly difficult to secure experienced operators with the financial incentive to move to the resources sector, therefore we in the sugar industry face a skill shortage. This project investigated the use of cutting edge technology to automate critical operations to reduce the risk of operator error, to minimise fatigue due to long hours and to maximise the efficiency of the entire harvesting hauling operation whilst in the paddock.
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    Identifying management zones within cane paddocks: an essential foundation for precision sugarcane agriculture : SRDC Final report BPS001
    (2011) Coventry, RJ; Hughes, JR
    Variability in plant growth across spatial zones within sugarcane crops arises from the complex interactions of soil nutritional status, soil physical properties (especially soil texture), surface and subsurface drainage, seasonal conditions, soil health, pests and diseases, cane variety adaptability to soil type, and paddock management practices. BPS001 research has shown that no single GIS spatial layer is sufficient to identify and manage the variability inherent in sugarcane production systems. However, by comparing patterns within three key GIS layers, we have found a way to simplify the complexity among the factors controlling crop yields, and have found answers to the two basic questions driving the research: • How do satellite imagery and EM map patterns relate to variations in space and time in soils, soil properties, and sugarcane yield? • Are there general relationships between image analysis, EM signals, yield, and soil properties that are widely applicable within and between regions?
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    Remote sensing-based precision agriculture tools for the sugar industry : SRDC Final report DPI021
    (2013) Robson, A; Abbott, C; Bramley, R; Lamb, D
    This 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.