Browsing by Author "De Lai, R"

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    Optimising productivity and variety recommendations through analysis of mill data : ASSCT peer reviewed paper
    (ASSCT, 2016) Stringer, JK; Croft, B; Di Bella, L; Sefton, M; Nielsen, R; Larsen, P; De Lai, R; Davies, I
    Production peaked in the Herbert River mills in 2005 but since then productivity has declined. Analysis of mill data in the Herbert has successfully identified groups of farms with similar productivity over time and the major factors associated with these groupings. The major finding of the study was that those growers who have adopted new farming systems had significantly higher productivity than those who use traditional practices. The impact of the Pachymetra resistance of previous varieties on yield of the current crop was also significant, suggesting this may be a major factor contributing to poor ratooning in the Herbert. In the small farm size groups, low and high performing growers had similar levels of % plant, % young crops, % old crops and % old varieties. However, the low and high performing groups varied significantly in terms of new varieties, suggesting that the small farm size low performing group were not adopting the new, more productive varieties to the same extent as the small farm size high performing group. Manager’s age was also an important factor associated with cane yields. Growers who regularly (five or six years out of six) obtained clean seed had more than 10% higher yields than growers who never or infrequently obtained clean seed and greater than 6% higher yields than growers who only obtained clean seed in three or four years out of six. Results from this research has allowed the Herbert Cane Productivity Services Limited (HCPSL) to design targeted extension strategies with the region. This will result in better variety recommendations and increase productivity.
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    Workshop on new technologies in sugarcane crop forecasting : SRDC Final report WS004
    (2001) Wood, A; De Lai, R
    Work over the last 3 years in the Herbert Resource Information Centre has demonstrated that it is possible to use remotely sensed satellite imagery to produce a reasonably accurate crop forecast provided there is limited ground truthing to validate spectral signatures. In both the 1999 and 2000 harvest seasons, the estimates derived from the Landsat TM images were closer to the actual yield for the Herbert than the crop estimates derived from conventional methods. SRDC agreed to fund a project in the Herbert involving the HRIC and the University of Queensland to develop the technology further (project UQ037 Development of an a11- weather sugarcane crop yield model using satellite image data). The project was led by Mr Mark Noonan who was employed by the HRlC and was doing this work as part of a Masters degree at UQ. CRC Sugar also agreed to provide funding to assist Mr Noonan with his Masters project. Mr Noonan left the HRIC in November 2000 and arrangements have been made to complete the project through the university. The project is due for completion in June 2001. In the last year there has been a large amount of interest in this methodology from other mill areas such as Mossman, Mulgrave and Mackay and all sugar mills are searching for ways of producing accurate crop estimates without having to simd out large numbers of people to inspect every block of cane on every farm. QSL have also' expressed interest in this technology given the importance of accurate and timely estimates of sugar production for their operation. Initially the HRlC agreed to assist some of the mills in using the model, but with the departure ofMr Noonan this is no longer possible. Some mills (and QSL) are now approaching a variety of commercial companies to see whether they are able to perfect this methodology and customize it for their specific requirements. With the HRlC being placed under increasing pressure from different users to provide advice and expertise, and with the HRlC Board having decided that they should not get involved in research and development, CRC Sugar was requested to coordinate an industry workshop which focused on new technologies in sugarcane crop forecastin