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Low annual tonnages and low pour rates cause costs to rise significantly, and when the industry is mature and harvesters work two shifts a day at higher pour rates, costs may fall as low as $13 per green tonne at the paddock landing. Estimates of a shunt truck as the intermediate form of transport have not been modelled as part of this project but indications are that this operation would add $3 to $4 per green tonne for biomass loaded onto road transport trailers at a roadside landing about ten kilometres from the harvester. Proven systems robust enough to harvest mallee at full scale have not yet been demonstrated commercially, hence the actual cost of harvesting is unknown. However, the theoretical costs are still well above that of sugarcane harvesting per tonne. The importance of harvest/transport costs on overall supply chain economics should not be underestimated. 2.6.3 Discussion At equivalent pour rates, the cost of sugarcane harvesting is less than half that of the estimated cost of mallee harvesting. Actual costs of mallee harvesting are unknown. While yields per km of row are similar to that of sugarcane, a mallee harvester’s speed while cutting will be about half that of cane harvester. The installed power of a commercial mallee harvester will also need to be perhaps twice that required for cane harvesting due to the energy intensive nature of wood chipping, and mallees are a much more dispersed crop on a whole paddock hectare basis, which will add to infield transport costs. 2.7 System Improvements Sugar System Over the past 30 years, the research and development activities within the harvesting arena of the Australian sugar industry can be grouped into three distinct periods. During the 1980’s, research and development was centred on performance evaluation of machines in green cane harvesting with Ridge and Dick (1988), Stewart and McComiskie (1988) and Shaw and Brotherton (1992) investigating throughput, EM and cane losses during cleaning. Ridge and Dick (1988) also investigated dirt rejection by harvesters. During the 1990’s, research commenced on the fundamental interactions between the crop and machine components with Pearce (1994), Kroes and Harris (1994), Kroes and Harris (1995), Kroes (1997), Schembri and Garson (1996), Norris et al. (1998), Norris et al. (2000), Hockings et al. (2000) and Zillman and Harris (2001) investigating gathering, knockdown, feeding, basecutting, billeting and primary cleaning systems. Research into improving feeding ability and performance in large green crops continued into the 2000’s with Davis and Norris (2002a), Davis and Norris (2002b), Davis and Norris (2003), Davis and Schembri (2004) and Whiteing and Kingston (2008). Throughout this period ongoing cane quality (EM/Dirt) issues and cane losses were evaluated by Linedale and Ridge (1996), Fuelling (1999) and Schembri et al. (2000). Whiteing et al. (2001, 2002) undertook fundamental investigations into the effect of fan speed and pour rate on cane loss and EM. In recent times the industry has been striving to improve the efficiency and productivity of its sugarcane harvesting and transport practices. Over the past few years the research focus has been on harvest system modelling (e.g. Higgins and Langham (2001), Antony et al. (2003), Higgins and Davies (2004), Sandell and Prestwidge (2004)), harvesting best practice (e.g. Sandell and Agnew (2002), Willcox et al. (2004), Muscat and Agnew (2004)), sugar losses (e.g. Davis and Norris (2001), 75

Sichter et al. (2005)), harvest and transport integration (e.g. Crossley and Dines (2004), Markley et al. (2006)) and harvester automation (e.g. Esquivell et al. (2007)). The most significant program aimed at increasing sugar industry profitability has been through a whole of system approach to harvesting. Whiteing et al. (2001, 2002) and Agnew (2002) developed what is known throughout the industry as Harvesting Best Practice (HBP). The ultimate aim of HBP is to maximise profit to all parties, contribute to the sustainability of the sugar industry and to improve sugar quality. HBP is a set of guidelines which examine harvester set-up and operational settings, field conditions, farm layout, farm practice and their effect on harvester performance, cane quality, sugar quality and industry profitability. The key machine set-up and operational guidelines are focused on cane loss, cane cleaning and finding a balance between these two issues. HBP recommendations have been presented to the industry for a number of years and the economic benefits have been well documented and rigorously defended. However, despite the significant economic benefits, adoption of HBP has been slow. This has been due to industry skepticism about sugar loss levels and pressure to minimise extraneous matter and transport costs. The invisible nature of the sugar loss makes it difficult to convince some industry stakeholders of the importance of HBP. In addition, it is also hard to encourage the adoption of HBP especially when it has long been recognised that the current one-price, dollar-per-tonne payment method for harvesting does not have built-in incentives to adopt best practice or supply quality cane. Better feedback is vital to overcome the flawed harvester-payment system and enable negotiation of the best possible job at an acceptable price for individual blocks. As the primary revenue received is for sugar sold, the primary focus for HBP is maximising the size of the revenue ‘cake’ and only then can more appropriate and more equitable ways of ‘dividing up the cake’ be developed. In the past, many component-research activities were aimed at increasing harvesting efficiency in the Australian sugar industry. Many of these have been engineering approaches to improved harvester design, including improved basecutters: (Schembri. 2000; Schembri et al. 2000; da Mello and Harris, 2001) and overall harvester design (Norris et al. 1998). Other approaches were targeted towards best practice, for example the impacts of fan speed and pour rates (Agnew and Sandell 2002). Alternative pricing schemes for harvesting have been studied (Chapman and Grevis-James, 1998) to better quantify harvesting cost for the grower and to encourage incentives to lower the cost of harvesting. While these approaches can add value to the harvesting sector, the improvements are not sufficiently evaluated across the supply chain to consider the overall net benefits. Mallee System Initial studies on the mallee industry concluded that a harvesting methodology remains the largest gap in the industry supply and processing chain. Hence, research and development has concentrated on developing a harvesting system based on a chipper harvester. Whilst most studies have focused on a systems perspective, the lack of a proven harvesting system robust enough to harvest mallee commercially has constrained the availability of quantitative data. The key to system improvement will be to know what product is the supply chain objective, and develop a better understanding of the likely impacts of crop and machine performance factors on overall system economics based on quantitative data. At this early stage it is possible to consider where the biomass supply chain should terminate; at the field edge, or as energy output from a biomass-fuelled boiler, or somewhere in between. 76

Sichter et al. (2005)), harvest and transport integration (e.g. Crossley and Dines (2004), Markley et al.<br />

(2006)) and harvester automation (e.g. Esquivell et al. (2007)).<br />

The most significant program aimed at increasing sugar industry pr<strong>of</strong>itability has been through a<br />

whole <strong>of</strong> system approach to harvesting. Whiteing et al. (2001, 2002) and Agnew (2002) developed<br />

what is known throughout the industry as Harvesting Best Practice (HBP). The ultimate aim <strong>of</strong> HBP is<br />

to maximise pr<strong>of</strong>it to all parties, contribute to the sustainability <strong>of</strong> the sugar industry and to improve<br />

sugar quality. HBP is a set <strong>of</strong> guidelines which examine harvester set-up and operational settings, field<br />

conditions, farm layout, farm practice and their effect on harvester performance, cane quality, sugar<br />

quality and industry pr<strong>of</strong>itability.<br />

The key machine set-up and operational guidelines are focused on cane loss, cane cleaning and<br />

finding a balance between these two issues.<br />

HBP recommendations have been presented to the industry for a number <strong>of</strong> years and the economic<br />

benefits have been well documented and rigorously defended. However, despite the significant<br />

economic benefits, adoption <strong>of</strong> HBP has been slow. This has been due to industry skepticism about<br />

sugar loss levels and pressure to minimise extraneous matter and transport costs. The invisible nature<br />

<strong>of</strong> the sugar loss makes it difficult to convince some industry stakeholders <strong>of</strong> the importance <strong>of</strong> HBP.<br />

In addition, it is also hard to encourage the adoption <strong>of</strong> HBP especially when it has long been<br />

recognised that the current one-price, dollar-per-tonne payment method for harvesting does not have<br />

built-in incentives to adopt best practice or supply quality cane. Better feedback is vital to overcome<br />

the flawed harvester-payment system and enable negotiation <strong>of</strong> the best possible job at an acceptable<br />

price for individual blocks.<br />

As the primary revenue received is for sugar sold, the primary focus for HBP is maximising the size <strong>of</strong><br />

the revenue ‘cake’ and only then can more appropriate and more equitable ways <strong>of</strong> ‘dividing up the<br />

cake’ be developed.<br />

In the past, many component-research activities were aimed at increasing harvesting efficiency in the<br />

Australian sugar industry. Many <strong>of</strong> these have been engineering approaches to improved harvester<br />

design, including improved basecutters: (Schembri. 2000; Schembri et al. 2000; da Mello and Harris,<br />

2001) and overall harvester design (Norris et al. 1998). Other approaches were targeted towards best<br />

practice, for example the impacts <strong>of</strong> fan speed and pour rates (Agnew and Sandell 2002). Alternative<br />

pricing schemes for harvesting have been studied (Chapman and Grevis-James, 1998) to better<br />

quantify harvesting cost for the grower and to encourage incentives to lower the cost <strong>of</strong> harvesting.<br />

While these approaches can add value to the harvesting sector, the improvements are not sufficiently<br />

evaluated across the supply chain to consider the overall net benefits.<br />

Mallee System<br />

Initial studies on the mallee industry concluded that a harvesting methodology remains the largest gap<br />

in the industry supply and processing chain. Hence, research and development has concentrated on<br />

developing a harvesting system based on a chipper harvester.<br />

Whilst most studies have focused on a systems perspective, the lack <strong>of</strong> a proven harvesting system<br />

robust enough to harvest mallee commercially has constrained the availability <strong>of</strong> quantitative data.<br />

The key to system improvement will be to know what product is the supply chain objective, and<br />

develop a better understanding <strong>of</strong> the likely impacts <strong>of</strong> crop and machine performance factors on<br />

overall system economics based on quantitative data. At this early stage it is possible to consider<br />

where the biomass supply chain should terminate; at the field edge, or as energy output from a<br />

biomass-fuelled boiler, or somewhere in between.<br />

76

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